diff --git a/README.md b/README.md
index 7c3a3d10d83df51a7dec85cb0a03fc3dd24debb2..d9592960bde64b41abc569537a65935daa8f34ac 100755
--- a/README.md
+++ b/README.md
@@ -198,6 +198,11 @@ Gitlab developers
## WHAT'S NEW IN
+### v7.4.0
+
+1) Ok up to global logo, tested using the test file
+
+
### v7.3.0
1) flow and files improved by Fred, because of the relative paths, no need of dev/
diff --git a/bin/global_logo.R b/bin/global_logo.R
new file mode 100644
index 0000000000000000000000000000000000000000..0d305ff7b2cbf6a37c401fefc29e93d3294033e7
--- /dev/null
+++ b/bin/global_logo.R
@@ -0,0 +1,477 @@
+#!/usr/bin/env Rscript
+
+#########################################################################
+## ##
+## global_logo.R ##
+## ##
+## Gael A. Millot ##
+## Bioinformatics and Biostatistics Hub ##
+## Computational Biology Department ##
+## Institut Pasteur Paris ##
+## ##
+#########################################################################
+
+
+
+
+################################ Aim
+
+
+################################ End Aim
+
+
+################################ Introduction
+
+
+################################ End Introduction
+
+
+################################ Acknowlegments
+
+
+################################ End Acknowlegments
+
+
+################################ Initialization
+
+
+# R version checking
+if(version$version.string != "R version 4.0.5 (2021-03-31)"){
+ stop(paste0("\n\n================\n\nERROR IN plot_read_length.R\n", version$version.string, " IS NOT THE 4.0.5 RECOMMANDED\n\n================\n\n"))
+}
+# other initializations
+erase.objects = TRUE # write TRUE to erase all the existing objects in R before starting the algorithm and FALSE otherwise. Beginners should use TRUE
+if(erase.objects == TRUE){
+ rm(list = ls(all.names = TRUE))
+ erase.objects = TRUE
+}
+erase.graphs = TRUE # write TRUE to erase all the graphic windows in R before starting the algorithm and FALSE otherwise
+script <- "global_logo"
+
+
+################################ End Initialization
+
+
+################################ Parameters that need to be set by the user
+
+
+################################ End Parameters that need to be set by the user
+
+
+################################ Config import
+
+
+tempo.cat <- "KIND OF RUN (SCRIPT, COPY-PASTE OR SOURCE): "
+if(interactive() == FALSE){ # if(grepl(x = commandArgs(trailingOnly = FALSE), pattern = "R\\.exe$|\\/R$|Rcmd\\.exe$|Rcmd$|Rgui\\.exe$|Rgui$|Rscript\\.exe$|Rscript$|Rterm\\.exe$|Rterm$")){ # detection of script usage
+ run.way <- "SCRIPT"
+ cat(paste0("\n\n", tempo.cat, run.way, "\n"))
+ command <- paste0(commandArgs(trailingOnly = FALSE), collapse = ",") # recover the full command
+ args <- commandArgs(trailingOnly = TRUE) # recover arguments written after the call of the R script
+ if(any(is.na(args))){
+ stop(paste0("\n\n================\n\nERROR IN global_logo.R\nTHE args OBJECT HAS NA\n\n================\n\n"), call. = FALSE)
+ }
+ tempo.arg.names <- c(
+ "freq",
+ "file_name",
+ "insertion_dist",
+ "cute",
+ "log"
+ ) # objects names exactly in the same order as in the bash code and recovered in args. Here only one, because only the path of the config file to indicate after the global_logo.R script execution
+ if(length(args) != length(tempo.arg.names)){
+ stop(paste0("\n\n================\n\nERROR IN global_logo.R\nTHE NUMBER OF ELEMENTS IN args (", length(args),") IS DIFFERENT FROM THE NUMBER OF ELEMENTS IN tempo.arg.names (", length(tempo.arg.names),")\nargs:", paste0(args, collapse = ","), "\ntempo.arg.names:", paste0(tempo.arg.names, collapse = ","), "\n\n================\n\n"), call. = FALSE)
+ }
+ for(i1 in 1:length(tempo.arg.names)){
+ assign(tempo.arg.names[i1], args[i1])
+ }
+ rm(tempo.arg.names, args, i1)
+}else if(sys.nframe() == 0L){ # detection of copy-paste/direct execution (for debugging). With script it is also 0, with source, it is 4
+ run.way <- "COPY-PASTE"
+ cat(paste0("\n\n", tempo.cat, run.way, "\n"))
+}else{
+ run.way <- "SOURCE" # using source(), sys.nframe() is 4
+ cat(paste0("\n\n", tempo.cat, run.way, "\n"))
+}
+rm(tempo.cat)
+
+
+################################ End Config import
+
+################################ Test
+
+# cat("\n\n!!!!!!!!!!!!!!!!!!! WARNING: test values are activated\n\n")
+# stat <- "C:/Users/Gael/Documents/Git_projects/14985_loot/dataset/test.fastq_Nremove_trim_5pAttc_1-51.stat"
+# attc_seq <- "CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG"
+# cute <- "https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R"
+# log <- "report.txt"
+
+################################ end Test
+
+################################ Recording of the initial parameters
+
+
+param.list <- c(
+ "erase.objects",
+ "erase.graphs",
+ "script",
+ "run.way",
+ if(run.way == "SCRIPT"){"command"},
+ "freq",
+ "file_name",
+ "insertion_dist",
+ "cute",
+ "log"
+)
+if(any(duplicated(param.list))){
+ stop(paste0("\n\n================\n\nINTERNAL CODE ERROR 1 IN global_logo.R\nTHE param.list OBJECT CONTAINS DUPLICATED ELEMENTS:\n", paste(param.list[duplicated(param.list)], collapse = " "), "\n\n================\n\n"), call. = FALSE) # message for developers
+}
+if(erase.objects == TRUE){
+ created.object.control <- ls()[ ! ls() %in% "param.list"]
+ if( ! (all(created.object.control %in% param.list) & all(param.list %in% created.object.control))){
+ stop(paste0("\n\n================\n\nINTERNAL CODE ERROR 2 IN global_logo.R\nINCONSISTENCIES BETWEEN THE ARGUMENTS USED AND THE PARAMETERS REQUIRED IN THE EXECUTABLE CODE FILE\nTHE ARGUMENTS NOT PRESENT IN THE EXECUTABLE FILE (global_logo.R) ARE:\n", paste(created.object.control[ ! created.object.control %in% param.list], collapse = " "), "\nTHE PARAMETERS OF THE EXECUTABLE FILE (global_logo.R) NOT PRESENT IN THE ARGUMENTS ARE:\n", paste(param.list[ ! param.list %in% created.object.control], collapse = " "), "\n\n================\n\n"), call. = FALSE) # message for developers
+ }
+}
+char.length <- nchar(param.list)
+space.add <- max(char.length) - char.length + 5
+param.ini.settings <- character(length = length(param.list))
+for(i in 1:length(param.list)){
+ param.ini.settings[i] <- paste0("\n", param.list[i], paste0(rep(" ", space.add[i]), collapse = ""), paste0(get(param.list[i]), collapse = ",")) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
+}
+
+
+################################ End Recording of the initial parameters
+
+
+################################ Functions
+
+
+# Functions are built such that they should have no direct use of Global objects (going through the R scope), and only use function arguments
+# 1) Cute little function is sourced for the moment into the .GlobalEnv environment, but may be interesting to put it into a new environement just above .GlobalEnv environment. See https://stackoverflow.com/questions/9002544/how-to-add-functions-in-an-existing-environment
+# 2) Argument names of each function must not be a name of Global objects (error message otherwise)
+# 3) Argument name of each function ends with "_fun" in the first function, "_2fun" in the second, etc. This prevent conflicts with the argument partial names when using these functions, notably when they are imbricated
+
+
+################ import functions from cute little functions toolbox
+
+
+if(length(cute) != 1){
+ stop(paste0("\n\n============\n\nERROR IN global_logo.R\ncute PARAMETER MUST BE LENGTH 1: ", paste(cute, collapse = " "), "\n\n============\n\n"), call. = FALSE)
+}else if(grepl(x = cute, pattern = "^http")){
+ tempo.try <- try(suppressWarnings(suppressMessages(source(cute, local = .GlobalEnv))), silent = TRUE)
+ if(any(grepl(x = tempo.try, pattern = "^[Ee]rror"))){
+ stop(paste0("\n\n============\n\nERROR IN global_logo.R\nHTTP INDICATED IN THE cute PARAMETER DOES NOT EXISTS: ", cute, "\n\n============\n\n"), call. = FALSE)
+ }else{
+ source(cute, local = .GlobalEnv) # source the fun_ functions used below
+ }
+}else if( ! grepl(x = cute, pattern = "^http")){
+ if( ! file.exists(cute)){
+ stop(paste0("\n\n============\n\nERROR IN global_logo.R\nFILE INDICATED IN THE cute PARAMETER DOES NOT EXISTS: ", cute, "\n\n============\n\n"), call. = FALSE)
+ }else{
+ source(cute, local = .GlobalEnv) # source the fun_ functions used below
+ }
+}else{
+ tempo.cat <- paste0("\n\n================\n\nINTERNAL CODE ERROR 3 IN global_logo.R: CODE HAS TO BE MODIFIED\n\n============\n\n")
+ stop(tempo.cat, call. = FALSE)
+}
+
+
+# required cute function checking
+req.function <- c(
+ "fun_check",
+ "fun_pack",
+ "fun_df_remod",
+ "fun_gg_scatter",
+ "fun_gg_palette",
+ "fun_open",
+ "fun_gg_empty_graph",
+ "fun_report"
+)
+tempo <- NULL
+for(i1 in req.function){
+ if(length(find(i1, mode = "function")) == 0L){
+ tempo <- c(tempo, i1)
+ }
+}
+if( ! is.null(tempo)){
+ tempo.cat <- paste0("ERROR IN global_logo.R\nREQUIRED cute FUNCTION", ifelse(length(tempo) > 1, "S ARE", " IS"), " MISSING IN THE R ENVIRONMENT:\n", paste0(tempo, collapse = "()\n"))
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}
+# end required function checking
+
+
+################ local function: package import
+
+
+# R Packages required
+req.package.list <- c(
+ "lubridate",
+ "ggplot2",
+ "ggseqlogo"
+)
+for(i in 1:length(req.package.list)){suppressMessages(library(req.package.list[i], character.only = TRUE))}
+# fun_pack(req.package = req.package.list, load = TRUE, lib.path = NULL) # packages are imported even if inside functions are written as package.name::function() in the present code
+
+
+################################ End Functions
+
+
+################################ Pre-ignition checking
+
+
+# reserved words
+# end reserved words
+# argument primary checking
+arg.check <- NULL #
+text.check <- NULL #
+checked.arg.names <- NULL # for function debbuging: used by r_debugging_tools
+ee <- expression(arg.check <- c(arg.check, tempo$problem) , text.check <- c(text.check, tempo$text) , checked.arg.names <- c(checked.arg.names, tempo$object.name))
+tempo <- fun_check(data = freq, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = file_name, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = insertion_dist, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = cute, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = log, class = "vector", typeof = "character", length = 1) ; eval(ee)
+if(any(arg.check) == TRUE){ # normally no NA
+ stop(paste0("\n\n================\n\n", paste(text.check[arg.check], collapse = "\n"), "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between == #
+}
+# end argument primary checking
+# second round of checking and data preparation
+# management of NA arguments
+# end management of NA arguments
+# management of NULL arguments
+tempo.arg <-c(
+ "freq",
+ "file_name",
+ "insertion_dist",
+ "cute",
+ "log"
+)
+tempo.log <- sapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = is.null)
+if(any(tempo.log) == TRUE){# normally no NA with is.null()
+ tempo.cat <- paste0("ERROR IN global_logo.R:\n", ifelse(sum(tempo.log, na.rm = TRUE) > 1, "THESE ARGUMENTS\n", "THIS ARGUMENT\n"), paste0(tempo.arg[tempo.log], collapse = "\n"),"\nCANNOT BE NULL")
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}
+# end management of NULL arguments
+# code that protects set.seed() in the global environment
+# end code that protects set.seed() in the global environment
+# warning initiation
+ini.warning.length <- options()$warning.length
+options(warning.length = 8170)
+warn <- NULL
+# warn.count <- 0 # not required
+# end warning initiation
+# other checkings
+tempo <- strsplit(freq, split = " ")[[1]]
+if(length(tempo) != 4){
+ tempo.cat <- paste0("ERROR IN global_logo.R:\nTHE freq PARAMETER MUST BE A STRING OF FOUR FILE NAMES\nHERE IT IS: \n", paste0(tempo, collapse = " "))
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}else{
+ freq <- tempo
+}
+if(length(insertion_dist) != 1 & any(grepl(insertion_dist, pattern = "\\D"))){# normally no NA with is.null()
+ tempo.cat <- paste0("ERROR IN global_logo.R:\nTHE insertion_dist PARAMETER MUST BE A SINGLE INTEGER\nHERE IT IS: \n", paste0(insertion_dist, collapse = " "))
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}else{
+ insertion_dist <- as.integer(insertion_dist)
+}
+# end other checkings
+# reserved word checking
+# end reserved word checking
+# end second round of checking and data preparation
+# package checking
+# end package checking
+
+
+################################ End pre-ignition checking
+
+
+################################ Main code
+
+
+################ Ignition
+
+
+fun_report(data = paste0("\n\n################################################################ global_logo PROCESS\n\n"), output = log, path = "./", overwrite = FALSE)
+ini.date <- Sys.time()
+ini.time <- as.numeric(ini.date) # time of process begin, converted into seconds
+fun_report(data = paste0("\n\n################################ RUNNING DATE AND STARTING TIME\n\n"), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0(ini.date, "\n\n"), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0("\n\n################################ RUNNING\n\n"), output = log, path = "./", overwrite = FALSE)
+
+
+################ End ignition
+
+
+################ Graphical parameter initialization
+
+
+pdf(file = NULL)
+par.ini <- par(no.readonly = TRUE) # to recover the initial graphical parameters if required (reset)
+invisible(dev.off()) # close the new window
+zone.ini <- matrix(1, ncol=1)
+if(erase.graphs == TRUE){
+ graphics.off()
+}else{
+ tempo.warn <- paste0("GRAPHICS HAVE NOT BEEN ERASED. GRAPHICAL PARAMETERS MAY HAVE NOT BEEN REINITIALIZED")
+ fun_report(data = paste0("WARNING\n", tempo.warn), output = log, path = "./", overwrite = FALSE)
+ warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
+}
+
+
+################ End graphical parameter initialization
+
+
+################ Data import
+
+
+decal <- -1 # indicate the position occupied by the +1 position of the read (that correspond to first base of coli part of read) after rev complementation. Before rev-comp, it is 201 (as mentioned above). After, it is 400-201+1 = 200, thus -1. Allow to overlay consensus that are not centered on the +1 position
+final <- NULL
+for(i0 in 1:length(freq)){
+ tempo <- read.table(freq[i0], sep = "\t", stringsAsFactors = TRUE)
+ row.names(tempo) <- tempo[, 1]
+ tempo <- as.matrix(tempo[, -1])
+ if(grepl(x = freq[i0], pattern = "LEADING_16|LAGGING_16")){
+ # equivalent to reverse - complement for contingency
+ row.names(tempo)[row.names(tempo) == "A"] <- "Tf"
+ row.names(tempo)[row.names(tempo) == "T"] <- "A"
+ row.names(tempo)[row.names(tempo) == "G"] <- "Cf"
+ row.names(tempo)[row.names(tempo) == "C"] <- "G"
+ row.names(tempo)[row.names(tempo) == "Tf"] <- "T"
+ row.names(tempo)[row.names(tempo) == "Cf"] <- "C"
+ tempo <- tempo[, ncol(tempo):1]
+ tempo <- tempo[order(row.names(tempo)), ]
+ tempo <- tempo[, 1:(ncol(tempo) - abs(decal))]
+ # end equivalent to reverse - complement for contingency
+ }else{
+ tempo <- tempo[order(row.names(tempo)), ]
+ tempo <- tempo[, (1 + abs(decal)):ncol(tempo)]
+ }
+ if(i0 == 1){
+ final <- tempo
+ }else{
+ final <- fun_mat_op(list(final, tempo))
+ }
+}
+
+
+
+
+################ end Data import
+
+
+############ modifications of imported tables
+
+
+############ end modifications of imported tables
+
+
+############ plotting
+
+
+
+
+png(filename = paste0("global_logo_", file_name, ".png"), width = 5000, height = 1800, units = "px", res = 300)
+
+
+width <- 7
+height <- 2.5
+text.size <- 5
+title.text.size <- 4
+angle <- 90
+tempo.just <- fun_gg_just(angle = angle, pos = "bottom")
+
+if(ncol(tempo) > 0){
+ title <- "GLOBAL CONSENSUS (LEADING / LAGGING AND FORWARD / REVERSE OVERLAY USING POSITION 1"
+ gg1 = ggseqlogo::geom_logo(data = final, method = "bits", seq_type = "dna") # Derived from https://weblogo.berkeley.edu/logo.cgi because the website does not work
+ gg2 <- ggplot2::theme(
+ # axis.text.x = ggplot2::element_text(angle = tempo.just$angle, hjust = tempo.just$hjust, vjust = tempo.just$vjust, size = text.size), #not required anymore because I used annotate() finally
+ panel.background = ggplot2::element_blank()
+ )
+ gg3 <- ggplot2::annotate("text", x = 0, y = 2.05, hjust = 0, vjust = 0, label = title, size = title.text.size) # ggplot2::labs(title = title) to boring to fix the size
+ gg4 <- ggplot2::scale_x_discrete(labels = c((-insertion_dist):(-1), 1:insertion_dist)) #remove the x initial numbers
+ gg5 <- ggplot2::annotate("text", x = 1:(insertion_dist * 2 - abs(decal)), y = -0.01, hjust = 1, vjust = 0.5, label = c((-insertion_dist + abs(decal)):(-1), 1:(insertion_dist - abs(decal) + 1)), size = text.size, angle = angle)
+ gg6 <- ggplot2::coord_cartesian(clip = "off")
+ suppressMessages(print(ggplot2::ggplot() + gg1 + gg2 + gg3 + gg4 + gg5 + gg6))
+}
+
+
+
+# insertion freq / genome binning (sliding windows)
+
+
+
+
+
+############ end plotting
+
+
+################ Pdf window closing
+
+
+graphics.off()
+
+
+################ end Pdf window closing
+
+
+################ Seeding inactivation
+
+
+set.seed(NULL)
+
+
+################ end Seeding inactivation
+
+
+################ Environment saving
+
+
+save(list = ls(), file = "all_objects.RData")
+fun_report(data = paste0("\n\n################################ RUNNING END"), output = log, path = "./", overwrite = FALSE)
+end.date <- Sys.time()
+end.time <- as.numeric(end.date)
+total.lapse <- round(lubridate::seconds_to_period(end.time - ini.time))
+fun_report(data = paste0("\n\nEND TIME: ", end.date), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0("\n\nTOTAL TIME LAPSE: ", total.lapse), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0("\n\nALL DATA SAVED IN all_objects.RData"), output = log, path = "./", overwrite = FALSE)
+
+
+################ end Environment saving
+
+
+################ Warning messages
+
+
+fun_report(data = paste0("\n\n################################ RECAPITULATION OF WARNING MESSAGES"), output = log, path = "./", overwrite = FALSE)
+if( ! is.null(warn)){
+ fun_report(data = paste0("\n\n", warn), output = log, path = "./", overwrite = FALSE)
+}else{
+ fun_report(data = paste0("\n\nNO WARNING MESSAGE TO REPORT"), output = log, path = "./", overwrite = FALSE)
+}
+
+
+################ end Warning messages
+
+
+################ Parameter printing
+
+
+fun_report(data = paste0("\n\n################################ INITIAL SETTINGS OF PARAMETERS"), output = log, path = "./", overwrite = FALSE)
+fun_report(data = param.ini.settings, output = log, path = "./", overwrite = FALSE, , vector.cat = TRUE)
+fun_report(data = paste0("\n\n################################ R SYSTEM AND PACKAGES"), output = log, path = "./", overwrite = FALSE)
+tempo <- sessionInfo()
+tempo$otherPkgs <- tempo$otherPkgs[order(names(tempo$otherPkgs))] # sort the packages
+tempo$loadedOnly <- tempo$loadedOnly[order(names(tempo$loadedOnly))] # sort the packages
+fun_report(data = tempo, output = log, path = "./", overwrite = FALSE, , vector.cat = TRUE)
+fun_report(data = paste0("\n\n################################ JOB END\n\nTIME: ", end.date, "\n\nTOTAL TIME LAPSE: ", total.lapse, "\n"), output = log, path = "./", overwrite = FALSE)
+
+
+################ end Parameter printing
+
+
+################################ End Main code
+
+
+
+
+
+
+
diff --git a/bin/logo.R b/bin/logo.R
new file mode 100644
index 0000000000000000000000000000000000000000..3b180b560ad691bdbda5de74cf948226f1ea204c
--- /dev/null
+++ b/bin/logo.R
@@ -0,0 +1,443 @@
+#!/usr/bin/env Rscript
+
+#########################################################################
+## ##
+## logo.R ##
+## ##
+## Gael A. Millot ##
+## Bioinformatics and Biostatistics Hub ##
+## Computational Biology Department ##
+## Institut Pasteur Paris ##
+## ##
+#########################################################################
+
+
+
+
+################################ Aim
+
+
+################################ End Aim
+
+
+################################ Introduction
+
+
+################################ End Introduction
+
+
+################################ Acknowlegments
+
+
+################################ End Acknowlegments
+
+
+################################ Initialization
+
+
+# R version checking
+if(version$version.string != "R version 4.0.5 (2021-03-31)"){
+ stop(paste0("\n\n================\n\nERROR IN plot_read_length.R\n", version$version.string, " IS NOT THE 4.0.5 RECOMMANDED\n\n================\n\n"))
+}
+# other initializations
+erase.objects = TRUE # write TRUE to erase all the existing objects in R before starting the algorithm and FALSE otherwise. Beginners should use TRUE
+if(erase.objects == TRUE){
+ rm(list = ls(all.names = TRUE))
+ erase.objects = TRUE
+}
+erase.graphs = TRUE # write TRUE to erase all the graphic windows in R before starting the algorithm and FALSE otherwise
+script <- "logo"
+
+
+################################ End Initialization
+
+
+################################ Parameters that need to be set by the user
+
+
+################################ End Parameters that need to be set by the user
+
+
+################################ Config import
+
+
+tempo.cat <- "KIND OF RUN (SCRIPT, COPY-PASTE OR SOURCE): "
+if(interactive() == FALSE){ # if(grepl(x = commandArgs(trailingOnly = FALSE), pattern = "R\\.exe$|\\/R$|Rcmd\\.exe$|Rcmd$|Rgui\\.exe$|Rgui$|Rscript\\.exe$|Rscript$|Rterm\\.exe$|Rterm$")){ # detection of script usage
+ run.way <- "SCRIPT"
+ cat(paste0("\n\n", tempo.cat, run.way, "\n"))
+ command <- paste0(commandArgs(trailingOnly = FALSE), collapse = ",") # recover the full command
+ args <- commandArgs(trailingOnly = TRUE) # recover arguments written after the call of the R script
+ if(any(is.na(args))){
+ stop(paste0("\n\n================\n\nERROR IN logo.R\nTHE args OBJECT HAS NA\n\n================\n\n"), call. = FALSE)
+ }
+ tempo.arg.names <- c(
+ "freq",
+ "insertion_dist",
+ "cute",
+ "log"
+ ) # objects names exactly in the same order as in the bash code and recovered in args. Here only one, because only the path of the config file to indicate after the logo.R script execution
+ if(length(args) != length(tempo.arg.names)){
+ stop(paste0("\n\n================\n\nERROR IN logo.R\nTHE NUMBER OF ELEMENTS IN args (", length(args),") IS DIFFERENT FROM THE NUMBER OF ELEMENTS IN tempo.arg.names (", length(tempo.arg.names),")\nargs:", paste0(args, collapse = ","), "\ntempo.arg.names:", paste0(tempo.arg.names, collapse = ","), "\n\n================\n\n"), call. = FALSE)
+ }
+ for(i1 in 1:length(tempo.arg.names)){
+ assign(tempo.arg.names[i1], args[i1])
+ }
+ rm(tempo.arg.names, args, i1)
+}else if(sys.nframe() == 0L){ # detection of copy-paste/direct execution (for debugging). With script it is also 0, with source, it is 4
+ run.way <- "COPY-PASTE"
+ cat(paste0("\n\n", tempo.cat, run.way, "\n"))
+}else{
+ run.way <- "SOURCE" # using source(), sys.nframe() is 4
+ cat(paste0("\n\n", tempo.cat, run.way, "\n"))
+}
+rm(tempo.cat)
+
+
+################################ End Config import
+
+################################ Test
+
+# cat("\n\n!!!!!!!!!!!!!!!!!!! WARNING: test values are activated\n\n")
+# stat <- "C:/Users/Gael/Documents/Git_projects/14985_loot/dataset/test.fastq_Nremove_trim_5pAttc_1-51.stat"
+# attc_seq <- "CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG"
+# cute <- "https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R"
+# log <- "report.txt"
+
+################################ end Test
+
+################################ Recording of the initial parameters
+
+
+param.list <- c(
+ "erase.objects",
+ "erase.graphs",
+ "script",
+ "run.way",
+ if(run.way == "SCRIPT"){"command"},
+ "freq",
+ "insertion_dist",
+ "cute",
+ "log"
+)
+if(any(duplicated(param.list))){
+ stop(paste0("\n\n================\n\nINTERNAL CODE ERROR 1 IN logo.R\nTHE param.list OBJECT CONTAINS DUPLICATED ELEMENTS:\n", paste(param.list[duplicated(param.list)], collapse = " "), "\n\n================\n\n"), call. = FALSE) # message for developers
+}
+if(erase.objects == TRUE){
+ created.object.control <- ls()[ ! ls() %in% "param.list"]
+ if( ! (all(created.object.control %in% param.list) & all(param.list %in% created.object.control))){
+ stop(paste0("\n\n================\n\nINTERNAL CODE ERROR 2 IN logo.R\nINCONSISTENCIES BETWEEN THE ARGUMENTS USED AND THE PARAMETERS REQUIRED IN THE EXECUTABLE CODE FILE\nTHE ARGUMENTS NOT PRESENT IN THE EXECUTABLE FILE (logo.R) ARE:\n", paste(created.object.control[ ! created.object.control %in% param.list], collapse = " "), "\nTHE PARAMETERS OF THE EXECUTABLE FILE (logo.R) NOT PRESENT IN THE ARGUMENTS ARE:\n", paste(param.list[ ! param.list %in% created.object.control], collapse = " "), "\n\n================\n\n"), call. = FALSE) # message for developers
+ }
+}
+char.length <- nchar(param.list)
+space.add <- max(char.length) - char.length + 5
+param.ini.settings <- character(length = length(param.list))
+for(i in 1:length(param.list)){
+ param.ini.settings[i] <- paste0("\n", param.list[i], paste0(rep(" ", space.add[i]), collapse = ""), paste0(get(param.list[i]), collapse = ",")) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
+}
+
+
+################################ End Recording of the initial parameters
+
+
+################################ Functions
+
+
+# Functions are built such that they should have no direct use of Global objects (going through the R scope), and only use function arguments
+# 1) Cute little function is sourced for the moment into the .GlobalEnv environment, but may be interesting to put it into a new environement just above .GlobalEnv environment. See https://stackoverflow.com/questions/9002544/how-to-add-functions-in-an-existing-environment
+# 2) Argument names of each function must not be a name of Global objects (error message otherwise)
+# 3) Argument name of each function ends with "_fun" in the first function, "_2fun" in the second, etc. This prevent conflicts with the argument partial names when using these functions, notably when they are imbricated
+
+
+################ import functions from cute little functions toolbox
+
+
+if(length(cute) != 1){
+ stop(paste0("\n\n============\n\nERROR IN logo.R\ncute PARAMETER MUST BE LENGTH 1: ", paste(cute, collapse = " "), "\n\n============\n\n"), call. = FALSE)
+}else if(grepl(x = cute, pattern = "^http")){
+ tempo.try <- try(suppressWarnings(suppressMessages(source(cute, local = .GlobalEnv))), silent = TRUE)
+ if(any(grepl(x = tempo.try, pattern = "^[Ee]rror"))){
+ stop(paste0("\n\n============\n\nERROR IN logo.R\nHTTP INDICATED IN THE cute PARAMETER DOES NOT EXISTS: ", cute, "\n\n============\n\n"), call. = FALSE)
+ }else{
+ source(cute, local = .GlobalEnv) # source the fun_ functions used below
+ }
+}else if( ! grepl(x = cute, pattern = "^http")){
+ if( ! file.exists(cute)){
+ stop(paste0("\n\n============\n\nERROR IN logo.R\nFILE INDICATED IN THE cute PARAMETER DOES NOT EXISTS: ", cute, "\n\n============\n\n"), call. = FALSE)
+ }else{
+ source(cute, local = .GlobalEnv) # source the fun_ functions used below
+ }
+}else{
+ tempo.cat <- paste0("\n\n================\n\nINTERNAL CODE ERROR 3 IN logo.R: CODE HAS TO BE MODIFIED\n\n============\n\n")
+ stop(tempo.cat, call. = FALSE)
+}
+
+
+# required cute function checking
+req.function <- c(
+ "fun_check",
+ "fun_pack",
+ "fun_df_remod",
+ "fun_gg_scatter",
+ "fun_gg_palette",
+ "fun_open",
+ "fun_gg_empty_graph",
+ "fun_report"
+)
+tempo <- NULL
+for(i1 in req.function){
+ if(length(find(i1, mode = "function")) == 0L){
+ tempo <- c(tempo, i1)
+ }
+}
+if( ! is.null(tempo)){
+ tempo.cat <- paste0("ERROR IN logo.R\nREQUIRED cute FUNCTION", ifelse(length(tempo) > 1, "S ARE", " IS"), " MISSING IN THE R ENVIRONMENT:\n", paste0(tempo, collapse = "()\n"))
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}
+# end required function checking
+
+
+################ local function: package import
+
+
+# R Packages required
+req.package.list <- c(
+ "lubridate",
+ "ggplot2",
+ "ggseqlogo"
+)
+for(i in 1:length(req.package.list)){suppressMessages(library(req.package.list[i], character.only = TRUE))}
+# fun_pack(req.package = req.package.list, load = TRUE, lib.path = NULL) # packages are imported even if inside functions are written as package.name::function() in the present code
+
+
+################################ End Functions
+
+
+################################ Pre-ignition checking
+
+
+# reserved words
+# end reserved words
+# argument primary checking
+arg.check <- NULL #
+text.check <- NULL #
+checked.arg.names <- NULL # for function debbuging: used by r_debugging_tools
+ee <- expression(arg.check <- c(arg.check, tempo$problem) , text.check <- c(text.check, tempo$text) , checked.arg.names <- c(checked.arg.names, tempo$object.name))
+tempo <- fun_check(data = freq, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = insertion_dist, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = cute, class = "vector", typeof = "character", length = 1) ; eval(ee)
+tempo <- fun_check(data = log, class = "vector", typeof = "character", length = 1) ; eval(ee)
+if(any(arg.check) == TRUE){ # normally no NA
+ stop(paste0("\n\n================\n\n", paste(text.check[arg.check], collapse = "\n"), "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between == #
+}
+# end argument primary checking
+# second round of checking and data preparation
+# management of NA arguments
+# end management of NA arguments
+# management of NULL arguments
+tempo.arg <-c(
+ "freq",
+ "insertion_dist",
+ "cute",
+ "log"
+)
+tempo.log <- sapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = is.null)
+if(any(tempo.log) == TRUE){# normally no NA with is.null()
+ tempo.cat <- paste0("ERROR IN logo.R:\n", ifelse(sum(tempo.log, na.rm = TRUE) > 1, "THESE ARGUMENTS\n", "THIS ARGUMENT\n"), paste0(tempo.arg[tempo.log], collapse = "\n"),"\nCANNOT BE NULL")
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}
+# end management of NULL arguments
+# code that protects set.seed() in the global environment
+# end code that protects set.seed() in the global environment
+# warning initiation
+ini.warning.length <- options()$warning.length
+options(warning.length = 8170)
+warn <- NULL
+# warn.count <- 0 # not required
+# end warning initiation
+# other checkings
+if(length(insertion_dist) != 1 & any(grepl(insertion_dist, pattern = "\\D"))){# normally no NA with is.null()
+ tempo.cat <- paste0("ERROR IN logo.R:\nTHE insertion_dist PARAMETER MUST BE A SINGLE INTEGER\nHERE IT IS: \n", paste0(insertion_dist, collapse = " "))
+ stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
+}else{
+ insertion_dist <- as.integer(insertion_dist)
+}
+# end other checkings
+# reserved word checking
+# end reserved word checking
+# end second round of checking and data preparation
+# package checking
+# end package checking
+
+
+################################ End pre-ignition checking
+
+
+################################ Main code
+
+
+################ Ignition
+
+
+fun_report(data = paste0("\n\n################################################################ logo PROCESS\n\n"), output = log, path = "./", overwrite = FALSE)
+ini.date <- Sys.time()
+ini.time <- as.numeric(ini.date) # time of process begin, converted into seconds
+fun_report(data = paste0("\n\n################################ RUNNING DATE AND STARTING TIME\n\n"), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0(ini.date, "\n\n"), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0("\n\n################################ RUNNING\n\n"), output = log, path = "./", overwrite = FALSE)
+
+
+################ End ignition
+
+
+################ Graphical parameter initialization
+
+
+pdf(file = NULL)
+par.ini <- par(no.readonly = TRUE) # to recover the initial graphical parameters if required (reset)
+invisible(dev.off()) # close the new window
+zone.ini <- matrix(1, ncol=1)
+if(erase.graphs == TRUE){
+ graphics.off()
+}else{
+ tempo.warn <- paste0("GRAPHICS HAVE NOT BEEN ERASED. GRAPHICAL PARAMETERS MAY HAVE NOT BEEN REINITIALIZED")
+ fun_report(data = paste0("WARNING\n", tempo.warn), output = log, path = "./", overwrite = FALSE)
+ warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
+}
+
+
+################ End graphical parameter initialization
+
+
+################ Data import
+
+
+tempo <- read.table(freq, sep = "\t", stringsAsFactors = TRUE)
+
+
+################ end Data import
+
+
+############ modifications of imported tables
+
+
+row.names(tempo) <- tempo[, 1]
+tempo <- as.matrix(tempo[, -1])
+cat(paste0("\n\nWARNING: IN EACH SEQUENCE OF LENGTH ", insertion_dist * 2, ",\nPOSITION 1 CORRESPONDS TO THE FIRST NUCLEOTIDE OF THE COLI PART OF THE READ (POSITION ", insertion_dist + 1, "),\nPOSITION -1 CORRESPONDS TO THE FIRST NUCLEOTIDE OF THE PLASMID PART OF THE READ (POSITION ", insertion_dist, ")\n\n"))
+
+
+############ end modifications of imported tables
+
+
+############ plotting
+
+
+
+
+png(filename = paste0("logo_", sub(x = freq, pattern = "\\.stat$", replacement = ""), ".png"), width = 5000, height = 1800, units = "px", res = 300)
+
+
+width <- 7
+height <- 2.5
+text.size <- 5
+title.text.size <- 4
+angle <- 90
+decal <- -1 # indicate the position occupied by the +1 position of the read (that correspond to first base of coli part of read) after rev complementation. Before rev-comp, it is 201 (as mentioned above). After, it is 400-201+1 = 200, thus -1. Allow to overlay consensus that are not centered on the +1 position
+tempo.just <- fun_gg_just(angle = angle, pos = "bottom")
+
+if(ncol(tempo) > 0){
+ gg1 = ggseqlogo::geom_logo(data = tempo, method = "bits", seq_type = "dna") # Derived from https://weblogo.berkeley.edu/logo.cgi because the website does not work
+ title <- paste0(freq, " | CONSENSUS SEQUENCE | POSITION 1 CORRESPONDS TO THE FIRST NUCLEOTIDE OF THE GENOME PART OF THE PLASMID GENOME JUNCTION")
+ gg2 <- ggplot2::theme(
+ # axis.text.x = ggplot2::element_text(angle = tempo.just$angle, hjust = tempo.just$hjust, vjust = tempo.just$vjust, size = text.size), #not required anymore because I used annotate() finally
+ panel.background = ggplot2::element_blank()
+ )
+ gg3 <- ggplot2::annotate("text", x = 0, y = 2.05, hjust = 0, vjust = 0, label = title, size = title.text.size) # y = 2.05 with bits, ggplot2::labs(title = title) to boring to fix the size
+ gg4 <- ggplot2::scale_x_discrete(labels = c((-insertion_dist):(-1), 1:insertion_dist)) #remove the x initial numbers
+ gg5 <- ggplot2::annotate("text", x = 1:(insertion_dist * 2), y = -0.01, hjust = 1, vjust = 0.5, label = c((-insertion_dist):(-1), 1:insertion_dist), size = text.size, angle = angle)
+ gg6 <- ggplot2::coord_cartesian(clip = "off")
+ suppressMessages(print(ggplot2::ggplot() + gg1 + gg2 + gg3 + gg4 + gg5 + gg6)) #
+}
+
+
+
+# insertion freq / genome binning (sliding windows)
+
+
+
+
+
+############ end plotting
+
+
+################ Pdf window closing
+
+
+graphics.off()
+
+
+################ end Pdf window closing
+
+
+################ Seeding inactivation
+
+
+set.seed(NULL)
+
+
+################ end Seeding inactivation
+
+
+################ Environment saving
+
+
+save(list = ls(), file = "all_objects.RData")
+fun_report(data = paste0("\n\n################################ RUNNING END"), output = log, path = "./", overwrite = FALSE)
+end.date <- Sys.time()
+end.time <- as.numeric(end.date)
+total.lapse <- round(lubridate::seconds_to_period(end.time - ini.time))
+fun_report(data = paste0("\n\nEND TIME: ", end.date), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0("\n\nTOTAL TIME LAPSE: ", total.lapse), output = log, path = "./", overwrite = FALSE)
+fun_report(data = paste0("\n\nALL DATA SAVED IN all_objects.RData"), output = log, path = "./", overwrite = FALSE)
+
+
+################ end Environment saving
+
+
+################ Warning messages
+
+
+fun_report(data = paste0("\n\n################################ RECAPITULATION OF WARNING MESSAGES"), output = log, path = "./", overwrite = FALSE)
+if( ! is.null(warn)){
+ fun_report(data = paste0("\n\n", warn), output = log, path = "./", overwrite = FALSE)
+}else{
+ fun_report(data = paste0("\n\nNO WARNING MESSAGE TO REPORT"), output = log, path = "./", overwrite = FALSE)
+}
+
+
+################ end Warning messages
+
+
+################ Parameter printing
+
+
+fun_report(data = paste0("\n\n################################ INITIAL SETTINGS OF PARAMETERS"), output = log, path = "./", overwrite = FALSE)
+fun_report(data = param.ini.settings, output = log, path = "./", overwrite = FALSE, , vector.cat = TRUE)
+fun_report(data = paste0("\n\n################################ R SYSTEM AND PACKAGES"), output = log, path = "./", overwrite = FALSE)
+tempo <- sessionInfo()
+tempo$otherPkgs <- tempo$otherPkgs[order(names(tempo$otherPkgs))] # sort the packages
+tempo$loadedOnly <- tempo$loadedOnly[order(names(tempo$loadedOnly))] # sort the packages
+fun_report(data = tempo, output = log, path = "./", overwrite = FALSE, , vector.cat = TRUE)
+fun_report(data = paste0("\n\n################################ JOB END\n\nTIME: ", end.date, "\n\nTOTAL TIME LAPSE: ", total.lapse, "\n"), output = log, path = "./", overwrite = FALSE)
+
+
+################ end Parameter printing
+
+
+################################ End Main code
+
+
+
+
+
+
+
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/fastQC1/test.fastq2_Nremove_trim_fastqc.html b/example_of_result/20211201_res_CL14985_test_1641660055/fastQC1/test.fastq2_Nremove_trim_fastqc.html
deleted file mode 100644
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src="data:image/png;base64,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" alt="FastQC"/>FastQC Report</div><div id="header_filename">Sat 8 Jan 2022<br/>test.fastq2_Nremove_trim.fq</div></div><div class="summary"><h2>Summary</h2><ul><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M0">Basic Statistics</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M1">Per base sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M2">Per tile sequence quality</a></li><li><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAFlUlEQVR42s2XCUzTVxzHybIs0IgCLYqyQ9RtmhjCNKKbikajYVc22NThNjYjeC0yWBESxAV1Ckw8QEUF5ChnS4FyFETucwWU+7ClHKKiImLI4nCz9bv3/pS7ra1HtM1Lm/b/fp/ve+93PQMABq9y6D/Bz+ANNvethWxPw3Xs3wx/YAb9Tn6j/700AeZc1qccrhGPw2UNkk8Fx9voIceX9Tcz6Hf62/B/PPrsCxNgzjW043iyGjheRkOWQRzFt2IH/Nl4DDFyHjJ6siDoSoZ/YwB2VuyEffpGzA5iK+izdA6d+8wCyHa+SYyEsj2N/jU/aaL0vbIf0sF2tA92oOVBG+ruN6CqrwZldypR0FuMnBuXkX49C5GyaGwq3ASLU2ZKOpfaoLb0EmDibmLC8TQq5/iw/vlIaA1xjxiyQTmaH7Sitr8ekr5qlN6pQP6tImTfyIXoeiYEnSmIlSfiooyHc20R8G84htUZq0FtUFvUpk4ChldO4H6sRzvKXdEw0ISmgRZc7a/DXwRccrscebcKIb5xCWndGeB3CsGTJyBCGoPQtnCcajlLjugk/qgPxO+1h7Eqyw7UFrWpbiemCKBbRlW7lrmgcaAZV/prUXm3CsW3y3D5VgGyenKQ2p2OpM5k8NoTEC6Nxtm2MJxsPoPAxhM4XB+AA1cPwbvmADyqvPFLpQdsM1aodoIVqlUAdRp6bgv5HzBbXHFXgqLbpci9mY/MnmykdIuQ2CFATHs8wqRRONN6ASeaTyOg8TgO1fnDl4C9anzhLvHCnkp3uJTvgXOJC7YUOWN+0nww/jTJMSevvsHs+DRlSOsZFPaW4NLNPOLpYgi70pBAwFHtcbhwLRKnW8/jeHMIOecgHKw7iv1XD2Jf9X78KtmHyNZoiOQi/FiyHZsJ+Ov87/DZZUesEq8H+4SxkjLUCmDinISPY74jcm4Oe3RyVyriO/iIksUS8EWEtJ5DUFMwjhIH86s7Ap8rfvCs9oGbxBO7KtwQ3hKBrgdd6H94D3ypgIAdsD7nc6wWb8DyzDWYy58HyhifJ8ZWT5NMoLGCJ48jsZ2COHkSCSkezl+LQHBLKI40BGJLsRPW5qzDskxbLE5bDBuRDWwzV5DV2SGwNhCdAx0Yed172AdeWyyWpa/ColQbzE1+H7MTLcEOmKagrAkCaAqlWWwZf6kqlMY8+gDZ3jXZazEz0Rym8TPUDg+yetl9Kca/HikeIUUmgEXizAnPml2YDsoaSduMAJrHaSrdWvw9AYcR8LBHu0m4eJtvqRGsDS4k8DlJFlPnxM0AZVHmmABSTGg+31GxW+XRAfi51AWztKxaI/zxELNytXDVoCzKHBNAKhotKrsr9zIe7Vq+G5wEs9EJi1I+hFDKx7zkuTrAk7XCGQGERZlTBLiSuN1Ltn2BcMEEeGF3PoaI8dzObFgJ3nsuuHoBqiNwLNgMu+x1ow9SByrsyoNC+ZiBPFb8h5LrhWrhqTKhTnD1R6BywuWZn0zYejq2FTuj/k7tKEz5RPlccLVOOBKG7DATtZO+yXNATW81npD3ZHhaux5wTWE4kohoktA0cWPOelT3SkZFDMNT9ICbwCJplvpEND4Vm8ZqNrJBJWJIT7h5Ioek5a+wRLRUcyoeX4y0GaMiaEjqCn9X8A62le0ADXGLYLbmYjS+HJtGTdf5TLUNa5E1Kc8+8K09iPkJVk8vx+MbEm1H8bTBTjDFF3lfMlmVNipLREt0a0gmt2TPIsKKZEv3Ki5TU2gZt8+1168lm9yU6noc1MO3FDkxYNojhpH+YW2Gnf5Nqbq2nHHMWPVbbZNuA6firQghpZt2TRHSSGwn/eScYPNnb8s1XUxoDFtGWpD6sAgrxSvhSi4juypJ31f6ExwLSNsl/BicAOMXczF5ba5mr83l9GWN/wE1f784zfWjGwAAAABJRU5ErkJg" alt="[PASS]"/><a href="#M3">Per sequence quality scores</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M4">Per base sequence content</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M5">Per sequence GC content</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M6">Per base N content</a></li><li><img src="data:image/png;base64,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" alt="[WARNING]"/><a href="#M7">Sequence Length Distribution</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M8">Sequence Duplication Levels</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M9">Overrepresented sequences</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M10">Adapter Content</a></li></ul></div><div class="main"><div class="module"><h2 id="M0"><img src="data:image/png;base64,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" alt="[OK]"/>Basic Statistics</h2><table><thead><tr><th>Measure</th><th>Value</th></tr></thead><tbody><tr><td>Filename</td><td>test.fastq2_Nremove_trim.fq</td></tr><tr><td>File type</td><td>Conventional base calls</td></tr><tr><td>Encoding</td><td>Sanger / Illumina 1.9</td></tr><tr><td>Total Sequences</td><td>8709</td></tr><tr><td>Sequences flagged as poor quality</td><td>0</td></tr><tr><td>Sequence length</td><td>30-175</td></tr><tr><td>%GC</td><td>54</td></tr></tbody></table></div><div class="module"><h2 id="M1"><img src="data:image/png;base64,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" alt="[OK]"/>Per base sequence quality</h2><p><img class="indented" 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AgsgUWhCCxLOaXR+116twCKwBJYcoFy98B6N5alnFKvzJ5r5RajCCyBJRcoAstSTilXti5q5RajCCyBRaHcObAekcaylFOWSuIVgm4xisASWHKBIrAEFiVbSW82bjGKwBJYcoFy98Da3VlayikzJbLBuMUoAktgUSgCS2BRgsozeMjTLUYRWAKLQrl7YEXO+FjKKVnX9XCLUQSWwKJQBJbAouxflt0tRhFYAksuUARWtpJoLEv5vZWnW4wisASWXKAILIFFaaO8D1y5xSgCS2DJBYrAqlISlzWylN9N+WwMbjGKwBo3sB6TiXxeYFEElsCifFGZve+NW4wisEYMrGk8TVtqGVsCiyKwvr78rTaWpfw+yvJCDG4xisA6xylCgUURWALLDsO9T6EIrK8F1l//9yPv4/9/Zn/kEhTK2sc/m2tSiT+YP0rGl7RWVt+796S/CyWopN9Y0C1GGVnpvSafI7CynoNlR04RWN9a/pYniSzlV1V2L87uFqMIrNEDa/eQlcCiCCyBRTlQib7vjVuMIrDGDazVY1QCiyKwhl3+Zq8js5RfSflc4MotRhFY5w6sZV0JLIrAGn/5m14JyVJ+FeWftHKLUQTWFQLrsRjPwaIIrLMsf+/GspRfQPkctXKLUQTWBZ/knnUldztyisAaYfn7717ZUn5aZfpcK7cYRWAJLIFFEVgCi1KlrF411C1GEVgCy46cIrAGWf6elvJzKVuvEHSLUQSWwBJYFIE10PL3T2NZys+gpC++4BajCCyBJbAoAmus5e/dWHYYoyrPyHWt3GIUgSWwBBZFYA23/OVdPMkO46jwdb9QBJbAElgUgXX6IyV2GOM8N86pWwpFYAksisASWHYYbS4A++eiVm4xisASWAKLIrCusfxF38DODqPDe0R6CyPK5ZXgVK7JcUVgyQWKwDpO8WTqMmVy8Knkw46ccnll+ZHqgdI1OUsRWHKBIrCOvhyAHUbs6efPyEv83GIUisASWBTKoIGVe2i9/niMHUbi6JRdLIUisAQWhXL6wCpYmK4aWInjRqdT7MgpAktgCSyKwLpXYCUa601nPbWoeCkPPFfp2e6Vd+HzfXaxFIrAElgUisAqXmQT5RRUgs/p3jwTl3/tqMyLcxZ8iV0shSKwBBaFIrBGfa1iurpavb3M/kEvOz8KRWAJLLlAEVjXCKwvXkDBzo9CEVgCSy5QBJbAolAoAktgCSyKwBJYFAqFIrAqA2t6AZ5lSG193o6cIrAEFoVCObUSvTifwCoIrGk8zVpq678FFkVgCSwKhXLDt2EWWOWnCD8htTxqJbAoAktgUSgUgSWwGgSWU4SUmwTWAW9iI7AoFIrAumlgbZ0uXDaWwKJcKbCOSR+BRaFQBNYdA2uZUOn/tSOn3DywDnhyqB0GhULp93byAuuIwFo9CSiwKALrdMfJ7JYoFBdQGGodu/tlGnafjyWwKAJLYFEoFIElsDIu0zCb4PWx7MgpAktgUSgUgSWwXMmdIrAElt0ShSKwBJbAkgsUgWW3RKFQBJbAkgsUgSWwKBSKwBJYAosisAQWhUIRWAJLYFEoAstuiUKhCCyBJRcoAktgUSgUgSWwBBZFYAksCoUisASWwKJQBJbdEoXS/+1lCt4m6xhFYAksuUARWAKLQnHUhyKwBBZFYAksCkVgSR+BJbAoFIFlF0uhCCyBJbDkAkVgCSwKRWBRBJbAoggsgUWhCCzpI7AEFkVgCSy7WApFYAksgSUXKALLLpZCEVgUgSUXKAJLYFEoAkv6CCyBRRFYAotCEVjSR2AJLApFYNnFUigCi3KGwJpedH+1pZafF1gUgSWwKN5eZrS3lxFYAmugwJrG01ZLCSyKwBJYFMr1Hi/SR2Add4pw1lLv/xVYFIElsCgUgSV9BFabwPr8t8CiCCyBRaEILOlTdr/kniC+YGCtHr4SWBSBJbAoFIElsFopBSv/uQNrq64EFkVgCSwKRWAJLIFVElhbz23feoGhwKIILIFFEVgCS2AJrJ3LNOxe9coRLIrAElgUisASWAIr4zINiSNVAosisAQWhSKwBJbAciV3CkVgyQXKTQOr66vVBJbAElgUisCSCxRvL0MRWAJLLlAElsCiCCxRIrAElsCiCCyBRRFYcoEisAQWRWAJLLlAEVgUgSWw5AJFYMkFSn/FE8MpAktgUSgCSy5QWipygSKwBBaFIrDkAkVgUQSWwJILFIElsCgCi0LJXPkzzlwLLLlAEVgCiyKwKJTmK7/AkgsUgSWwKAKLQhFYAosisAQWRWDJBYrAElgUisASJRSBRRFYAksuUASWwKIILIrAElgCiyKwBBZFYMkFisASWBSKwBIlFIFFEVgCSy5QBJZcoAgsisASWHbkFIElsCgCS5RQBNYssKYXRY18XmBRBJbAoggsuUARWKnAmsbTtKW2Pi+wKAJLYFEEllygCKy8U4TLg1WrnxdYFIElsCgCSy5QBJbAoggsgSVKrq/E3yJXLlAE1nGBFawrgUURWAKLMqBiR04RWCMGVryuBBZFYAksisCiUATWfmBl1ZXAoggsgUURWBSKwNq/TENWXQksisASWBSBRaEIrJ3LNMwm/XmBRRFYAosisCgUgeVK7hSBJbBEicCSCxSBJbDkAkVgyQWKwKIILIFlR04RWAKLIrAoFIElsCgCS2BRBJZcoAgsgUWhCCxRQhFYFIElsOQCRWAJLIrAolAElsCiCCyBRRFYcoEisAQWhSKwRAnFjpwisASWXKAILIFFEVgUgSWwBBZFYAksisCSCxSBJbAoFIElSgSWHTlFYAksuUARWFuBFRxRQrEjpwgsgSUXKAKrlyJKBJYdOUVgCSy5QBFYAosisCgCS2AJLIrAElgUgUWhCCyBRaEILFEisDxeKAJLYMkFisASWBSBRRFYAsuOnCKwBBZFYFEoAktgUQSWwBIlAsvjhSKw+gbW9Go6kc8LLIrAElgUgUWhCKxUYE3jadZSn/8WWBSBJbCkj8CiUARW+SnCraha/q8dOUVgCSyKwKJQBFbrwPrxI+/j58/sj1yCQln7+GdzzVRSW/jYSsZe+beS8SWUsZUrbcmUCyttV/5zBNbq+UGBRRFYAkv6CCwKRWAVBtZuUQksisASWBSBRaEIrIzAWn0au8CiCCyBJX0EllygCKzyyzRkPR9LYFEElsCiCCwKRWDtXKZhNtHrYNmRUwSWwKIILApFYDW+krsdOUVgCSyKwKJQBJbAoggsgSVKBJbHC0VgCSy5QBFYAosisCgCS2DJBYrAElgUgUWhCCyBRRFYAkv6CCy5QBFYAotCsfwJrFsowbEjpwgsgSUXKAJLYFFCih05RWAJLDtyisASWBSBRaEILIFFEVgCS/oILApFYAksCkVgCSyBZUdOEVgCSy5QBJbAoggsCkVgCSyKwBJY0kdgUSgCS2BRKJY/gSWw7MgpAktgyQWKwBJYFIFFEVgCS2BRBJbAkj4Ci0IRWAKLQhFY0kdg2ZFTBJbAkgsUgSWwKAKLIrAElsCiCCyBRRFYFIrASgTW5+1CVytq608FFkVgCSyKwKJQBNbOEazVhEr/rx05RWAJLIrAolAElsCiCCyBJX0ElscLRWAJLLlAEVgC6ypKcGzJFIF18cDyHCyKwBJYAquVYhdLoQgsR7AoAktgCSyBRaEILIFFoVj+pI/AolAElsCSCxSBJbAEli2ZIrBucR2s5XOtPAeLIrAElsASWBSKwHIldwpFYEkfgUWhdFxh6l8PK7AEFkVgCSyBJbAolKFXfoElFygCS2AJLDtyisASWAKLIrAElsASWBSKwBJYFIrlT/oILApFYAksuUARWAJLYNmSKQJLYAksisASWBSBRaEILIFFoQgs6SOwKBSBJbDkAqVKybhMi8CSPgKLQhFYAotCOUwRWAJLYFEoAktgUSgCS/oILApFYAksO3KKwBJYAsuOnCKwBJbAoggsgUURWBSKwBJYFIrAkj4Ci0IRWAJLLlAElsASWHbkFIElsOzIKQJLYFEEFkVgCSyBRaEILOkjsCgUgSWwKBSBJbAElh05RWAJLDtyisASWBSBRRFYdw+sz9uGbIXU6p8KLIrAElgUgUWhCKydI1irgTX95OwvCCyKwBJYFIFFoQis7MDaOqYlsCgCS2BRBBaFIrCqAsspQorAElgCS2BRKAKrZWB9PrlsLIFFEVgCiyKwKBSBVXuKUGBRBJbAoggsCkVgCSwKRWBJH4FFoQisgV9F6BQhRWAJLIElsCgUgVVyHazVivIkd4rAElgCS2BRKALLldwpFIElfQQWhSKwBJZcoAgsgSWw7MgpAktgCSyKwBJYFIFFoQgsgUWhCCzpI7AoFIElsOQCRWAJLIFlR04RWALLjpwisAQWRWBRBJbAElgUisCSPgKLQhFYAotCEVgCS2DJBYrAElh25BSBJbAoduQUgSWwBBaFIrAElsCiUASWwKJQBJbAOlwJjh05RWAJLIFFoQgsgRVS7GIpFIElsCgUgSWwBBaFIrAEllygCCyBdawSPd9nF0uhCCyBRaEILIHl6ecUisASWHKBIrAElsCiUASWwLIjpwgsgSWw7GIpAktgCSwKRWAJLIFFoQisIwLr8/zNREst/1RgUQSWwBJYdrEUisDaOYIlsCgUgSWw7GIpFIF1UGC9Py+wKAJLYAksu1gKRWC1CazPJwUWRWAJLIFlF0uhCCyBRaEILIElsCgUgTVeYE0/I7AoAktgCSy7WApFYLUJrNkILIrAElgCyy6WQhFYbV5F6AgWRWAJLIFlF0uhCKzC62AlroYlsCgCS2AJLLtYCkVguZI7hSKwBJbAolAElsCSCxSBJbAEFoUisASWHTlFYAksgWUXSxFYAktgUSgCS2AJLApFYAksuUARWAJLYFEoAktg2ZFTBJbAElh25BSBJbAEFoUisASWXSyFIrAEFoUisASWwKJQBJbAsiOnCCyBJbAoFIElsAQWRWAJLIFlF0uhCCyBRaFUKI/wCCyBZRdLoQgsgUWhHKcILIFlR04RWAJLYFEoAktg2cVSKAJLYFEoJw+sY05ECiyBRaEILIFlR0659RGsThknsAQWhSKwBJYdOUVgCSyBRaEILIElsCgUgVWkRM+QHqvYxVIoAktgUSgC66yBdczvYudHoQisUQLr8++51Yra+lOBRaEILIFFoVAE1s4RrNWEmpWWwKJQBJbAolAoAqsqsNJ/QWBRKAJLYFEoFIElsCgUgSWw7GIpFIE1UmB5DhaFIrAEFoVCEVgtA2vr+e92sRSKwBJYFIrAElglgZX4vF0shSKwBBaFcl6lyXXjBFZJYKUPa9nFUigCS2BRKFdSzrgmn+A6WLNrMSwDVmBRKAJLYFEoAktguZI7hSKwBJZdLIUisASWHTlFYAksgUWhCCyBZRdLoQgsgUWhCCyBJbAoFIElsOxiKRSBJbAoFIElsAQWhSKwBJYdOUVgCSyBRaEILIElsCgUgSWw7GIpAktgCSwKRWAJLIFFoQgsgWVHTrmScsxbTBQoGV9yrFIWWAcox+z8hr1fKHdWBJbAolAooyuOLtjGKBSBJbAoFIrAElgUisASWBQKRWAJLFsyhSKwbDQUisASWLYxCkVgCSwKhSKwBBaFIrAEFoVCEVgCi0IRWALLRkOhCCyBZRujUASWwKJQKALrO1dBs41RKALLRkOhCCzXv7aNUSgCS2BRKBSBJbAoFIHVL7A+h7JXK2rrTwUWhXJn5eZvYmMbo1AEVvQI1lZgbf2pwKJQKJWKp59TKJQ7BtbsM8v/tdFQKBSB5d6nUASWwKJQKF9TCl55V3Dyzuv7KBSBJbBsNBQKhUKhUASWwKJQKBQKhSKwBBaFQqFQKBSB5VWENhoKhUKhUCgXug7W8npXroNFoVAoFApFYLmSO4VCoVAoFIElsGw0FAqFQqFQBJbAolAoFAqFIrAEFoVCoVAoFIElsGw0FAqFQqFQBJaNhkKhUCgUisASWBQKhUKhUASWwKJQKBQKhUIRWDYaCoVCoVAoAktgUSgUCoVCEVgCi0KhUCgUisASWDYaCoVCoVAoAktgUSgUCoVCEVgCi0KhUCgUisASWDYaCoVCoVAoAktgUSgUCoVCEVgCi0KhUCgUisASWDYaCoVCoVAoJw6sx2QEFoVCoVAoFIFVG1izqAo2lsCiUCgUCoUisAQWhUKhUCgUgSWwbJoUCoVCoVA8B8tGQ6FQKBQKRWA5gkWhUCgUCkVgCSwKhUKhUCgUgWWjoVAoFAqF4jlYnoNFoVAoFApFYLmSO4VCoVAoFIElsGw0FAqFQqFQBJbAolAoFAqFIrAEFoVCoVAoFIElsGw0FAqFQqFQBJaNhkKhUCgUisASWBQKhUKhUASWwKJQKBQKhUIRWDYaCoVCoVAoAktgUSgUCoVCEVgCi0KhUCgUCkVg2WgoFAqFQqEILIFFoVAoFApFYAksCoVCoVAoAktg2WgoFAqFQqEILIFFoVAoFApFYAksCoVCoVAoAktg2WgoFAqFQqFcJbAev0dgUSgUCoVCEVgNAmvaVcHGElgUCoVCoVAE1mZgxY9aCSwKhUKhUCgCKyOwnCKkUCgUCoUisFoG1qer4o0lsCgUCoVCoQis6ClCgUWhUCgUCkVgCSwKhUKhUCgCa+BXETpFSKFQKBQKRWA1CyxPcqdQKBQKhSKwXMmdQqFQKBSKwBJYNhoKhUKhUCgCS2BRKBQKhUIRWAKLQqFQKBSKwBJYNhoKhUKhUCgCS2BRKBQKhUIRWAKLQqFQKBSKwBJYNhoKhUKhUCgCy0ZDoVAoFApFYAksCoVCoVAoAktgUSgUCoVCoQgsGw2FQqFQKBSBJbAoFAqFQqEILIFFoVAoFApFYAksGw2FQqFQKBSBJbAoFAqFQqEILIFFoVAoFApFYAksGw2FQqFQKBSBJbAoFAqFQqEIrEBgPf4dgUWhUCgUCkVgCSwKhUKhUCgCa8jAeqeVwKJQKBQKhSKw2gTWp6sEFoVCoVAoFIElsCgUCoVCoQis8QJrGlUCi0KhUCgUisBqE1izEVgUCoVCoVAEVrPrYDmCRaFQKBQKRWAJLAqFQqFQKALLldxtNBQKhUKhUASWwKJQKBQKhSKwBBaFQqFQKBSBJbBsNBQKhUKhUASWwKJQKBQKhSKwBBaFQqFQKBSBJbBsmhQKhUKhUASWjYZCoVAoFIrAElgUCoVCoVAElsCiUCgUCoVCEVg2GgqFQqFQKAJLYFEoFAqFQhFYAotCoVAoFIrAElg2GgqFQqFQKAJLYFEoFAqFQhFYAotCoVAoFIrAElg2GgqFQqFQKALLRkOhUCgUCkVgbQTWYzICi0KhUCgUisCqDaxpVMUbS2BRKBQKhUIRWNFThAKLQqFQKBSKwBJYFAqFQqFQBNbAgeU5WBQKhUKhUARWy8CK15XAolAoFAqFIrD2AyurrgQWhUKhUCgUgbV/mQbXwaJQKBQKhSKwWl6mYTYCi0KhUCgUisByJXcKhUKhUCgCS2DZaCgUCoVCoQgsgUWhUCgUCkVgCSwKhUKhUCgCS2DZaCgUCoVCoQgsGw2FQqFQKBSBJbAoFAqFQqEILIFFoVAoFAqFIrBsNBQKhUKhUASWwKJQKBQKhSKwBBaFQqFQKBSKwLLRUCgUCoVCEVgCi0KhUCgUisASWBQKhUKhUASWwLLRUCgUCoVCEVgCi0KhUCgUisASWBQKhUKhUASWwLLRUCgUCoVCuUJgPSYjsCgUCoVCoQisNoE1+w+BRaFQKBQKRWCVB9YsqoKNJbAoFAqFQqEIrPaBZYwxxhhzw+kYWMYYY4wxRmAZY4wxxggsY4wxxpiTBtar6FWExhhjjDFmJ7Byr4NljDHGGGNSgdXg2xX1WdkFTmusXCJLyfqSrJckfPEWW35V5MdO/GmTmt/6JpFvnv47Tf6ZMfsmWXd02S9VfIdGXxTT5xbbehRkbWPLv3aBbSz3EdTpUdn2lrz271L82M/9nsf8Ls3vl8ol6NaB9bmlyv5y8MatebpYVsRU/u4F36HTrz/baTW5T7ParvnPk74ddr/57m3YKbAq46zyFktsn5Fvnv5dGq6MNb/pLM7qt7GtbxLZxtJ/p3ItWv3mNY/KxPds+OyR9EpSZmV9z66/S/1jPzfauv4uuUtEzfe85DOUvh9Y9V+be3/3C6z6QwuVYdEjSTsFVsPbLf34L759mtybNYts4mtbVXL8m+8e2Wp+PxZ8w963WNY2lv47lWtRbu01/J69V7lWO/Iv/i71j/3D1oSCFb7hNtZ1jyCwDs2a3Mdt2Zm7V+l50jMGVvy80okCq+2BooJThJEjEzW5sHrMP5gLW8f2e9yPBY/BswRWwVoU/8GaPyq/GFjFv8sXA6vmsf+qOFrZKbDKThEWfE+B1T2w+j3V6VV93qHgTFzxqdKs+Mv9+XvEX7AYGv48ic0g/ljtlwtZ54/iC3TlLRY8V7J7PmvrBj/ynEskaC5zi5X9E6XgUZkInSaP1lfsUGj975JO9q6/S81j/1Vx6rZHYO1+/1Yrf9vfRWAdnWWVT4064EBR8XHX3ANynQ4TLv/dGVn9e5xa2v3Hfdk/EIuPwWTdYulSrLzFcg9RJMS2t1junjJdxm23sdVvEtzGdr+2a2DlPirTh9xaPVrrOym4wnTdKiK3Ye5jv+B7Hva7nGsbE1jN6uqV8yzvmtcpdA2smhQ75taOB1bbr20YWFlrd83rWYLfZPelT7lf2zyw4oc3Wr2ayTbWaed3zPesuZd73Pu9t4rdJ060ul/6rQmX3MYEVsu/34kreHnja+O4+tcDq8cBvPjtU/zvvOLbof5VhK/OT9kOvkS/7S2W2D6zXkW4eyCw0/GA725jBa8ibLUjKTvs2vBUVMMHRXzLafW7NN8qcg+51f8uXdeE4Pawe5qy4fd8XWV6XQdrwAtBlR1YOuByU8XPCSv7wRrep7nXKGry80R+gPprFPUIrNw77la3WGQTKv7aJrdY2Q9Wszcte/Q1eVT23vYST5rOupJZzffsvadreL8ctiacfRu7xREsY4wxxpg7j8AyxhhjjBFYxhhjjDECyxhjjDFGYBljjDHGGIFljDHGGCOwjDHGGGMEljHGGGOMEVjGGGOMMQLLGGOMMUZgGWPMhRbE5Ft/pP9O4nte7A1AjDECyxizvr+vfOevrdro8QaOgwRWzY8nsIwRWMaY6wdWw33/1d6cVWAZYwSWMaZtYMXf6P7938u/v/vdZl+Y/gnjf3n2M6R/i8TnV5Xg309/H41ljMAyxtwxsJaNstpMW/8R/267R4Ny//KyctK/ReTn3A2srF9TYBkjsIwx1w+sxLGlREtF/rT48/V/Of4lnYiyn8QYI7CMMRcJrMjnV09+nSKwsk7hCSxjjMAyxnwnsBIxMfgRrMoqEljGGIFljKkNrGOeg9U7sHaPtMWfOLWqFDwHS10ZI7CMMTcNrFf+qwiXfxR8FWG/wAr+FvFX/6V/r+D3EVjGCCxjjDHr6VlWrq7kbozAMsYYUx5hbgRjjMAyxhiBZYwRWMYYY4wxAssYY4wx5p7zH5y/5IZ1CKiKAAAAAElFTkSuQmCC" alt="Per base quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M2"><img src="data:image/png;base64,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" alt="[OK]"/>Per tile sequence quality</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per base quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M3"><img src="data:image/png;base64,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" alt="[OK]"/>Per sequence quality scores</h2><p><img class="indented" 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" alt="Per Sequence quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M4"><img src="data:image/png;base64,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" alt="[FAIL]"/>Per base sequence content</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per base sequence content" width="800" height="600"/></p></div><div class="module"><h2 id="M5"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAFlUlEQVR42s2XCUzTVxzHybIs0IgCLYqyQ9RtmhjCNKKbikajYVc22NThNjYjeC0yWBESxAV1Ckw8QEUF5ChnS4FyFETucwWU+7ClHKKiImLI4nCz9bv3/pS7ra1HtM1Lm/b/fp/ve+93PQMABq9y6D/Bz+ANNvethWxPw3Xs3wx/YAb9Tn6j/700AeZc1qccrhGPw2UNkk8Fx9voIceX9Tcz6Hf62/B/PPrsCxNgzjW043iyGjheRkOWQRzFt2IH/Nl4DDFyHjJ6siDoSoZ/YwB2VuyEffpGzA5iK+izdA6d+8wCyHa+SYyEsj2N/jU/aaL0vbIf0sF2tA92oOVBG+ruN6CqrwZldypR0FuMnBuXkX49C5GyaGwq3ASLU2ZKOpfaoLb0EmDibmLC8TQq5/iw/vlIaA1xjxiyQTmaH7Sitr8ekr5qlN6pQP6tImTfyIXoeiYEnSmIlSfiooyHc20R8G84htUZq0FtUFvUpk4ChldO4H6sRzvKXdEw0ISmgRZc7a/DXwRccrscebcKIb5xCWndGeB3CsGTJyBCGoPQtnCcajlLjugk/qgPxO+1h7Eqyw7UFrWpbiemCKBbRlW7lrmgcaAZV/prUXm3CsW3y3D5VgGyenKQ2p2OpM5k8NoTEC6Nxtm2MJxsPoPAxhM4XB+AA1cPwbvmADyqvPFLpQdsM1aodoIVqlUAdRp6bgv5HzBbXHFXgqLbpci9mY/MnmykdIuQ2CFATHs8wqRRONN6ASeaTyOg8TgO1fnDl4C9anzhLvHCnkp3uJTvgXOJC7YUOWN+0nww/jTJMSevvsHs+DRlSOsZFPaW4NLNPOLpYgi70pBAwFHtcbhwLRKnW8/jeHMIOecgHKw7iv1XD2Jf9X78KtmHyNZoiOQi/FiyHZsJ+Ov87/DZZUesEq8H+4SxkjLUCmDinISPY74jcm4Oe3RyVyriO/iIksUS8EWEtJ5DUFMwjhIH86s7Ap8rfvCs9oGbxBO7KtwQ3hKBrgdd6H94D3ypgIAdsD7nc6wWb8DyzDWYy58HyhifJ8ZWT5NMoLGCJ48jsZ2COHkSCSkezl+LQHBLKI40BGJLsRPW5qzDskxbLE5bDBuRDWwzV5DV2SGwNhCdAx0Yed172AdeWyyWpa/ColQbzE1+H7MTLcEOmKagrAkCaAqlWWwZf6kqlMY8+gDZ3jXZazEz0Rym8TPUDg+yetl9Kca/HikeIUUmgEXizAnPml2YDsoaSduMAJrHaSrdWvw9AYcR8LBHu0m4eJtvqRGsDS4k8DlJFlPnxM0AZVHmmABSTGg+31GxW+XRAfi51AWztKxaI/zxELNytXDVoCzKHBNAKhotKrsr9zIe7Vq+G5wEs9EJi1I+hFDKx7zkuTrAk7XCGQGERZlTBLiSuN1Ltn2BcMEEeGF3PoaI8dzObFgJ3nsuuHoBqiNwLNgMu+x1ow9SByrsyoNC+ZiBPFb8h5LrhWrhqTKhTnD1R6BywuWZn0zYejq2FTuj/k7tKEz5RPlccLVOOBKG7DATtZO+yXNATW81npD3ZHhaux5wTWE4kohoktA0cWPOelT3SkZFDMNT9ICbwCJplvpEND4Vm8ZqNrJBJWJIT7h5Ioek5a+wRLRUcyoeX4y0GaMiaEjqCn9X8A62le0ADXGLYLbmYjS+HJtGTdf5TLUNa5E1Kc8+8K09iPkJVk8vx+MbEm1H8bTBTjDFF3lfMlmVNipLREt0a0gmt2TPIsKKZEv3Ki5TU2gZt8+1168lm9yU6noc1MO3FDkxYNojhpH+YW2Gnf5Nqbq2nHHMWPVbbZNuA6firQghpZt2TRHSSGwn/eScYPNnb8s1XUxoDFtGWpD6sAgrxSvhSi4juypJ31f6ExwLSNsl/BicAOMXczF5ba5mr83l9GWN/wE1f784zfWjGwAAAABJRU5ErkJg" alt="[OK]"/>Per sequence GC content</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per sequence GC content graph" width="800" height="600"/></p></div><div class="module"><h2 id="M6"><img src="data:image/png;base64,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" alt="[OK]"/>Per base N content</h2><p><img class="indented" 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" alt="N content graph" width="800" height="600"/></p></div><div class="module"><h2 id="M7"><img src="data:image/png;base64,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" alt="[WARN]"/>Sequence Length Distribution</h2><p><img class="indented" src="data:image/png;base64,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" alt="Sequence length distribution" width="800" height="600"/></p></div><div class="module"><h2 id="M8"><img src="data:image/png;base64,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" alt="[FAIL]"/>Sequence Duplication Levels</h2><p><img class="indented" src="data:image/png;base64,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" alt="Duplication level graph" width="800" height="600"/></p></div><div class="module"><h2 id="M9"><img src="data:image/png;base64,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" alt="[FAIL]"/>Overrepresented sequences</h2><table><thead><tr><th>Sequence</th><th>Count</th><th>Percentage</th><th>Possible Source</th></tr></thead><tbody><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>2628</td><td>30.17568033069239</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGAT</td><td>1004</td><td>11.528304053278218</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG</td><td>139</td><td>1.59605006315306</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGGT</td><td>110</td><td>1.2630612010563786</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGCT</td><td>76</td><td>0.872660466184407</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTA</td><td>74</td><td>0.8496957170742909</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAGTTCAAGCGTT</td><td>74</td><td>0.8496957170742909</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGG</td><td>72</td><td>0.826730967964175</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTA</td><td>54</td><td>0.6200482259731313</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAGTTCAAGCGAT</td><td>38</td><td>0.4363302330922035</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGACGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>36</td><td>0.4133654839820875</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCG</td><td>35</td><td>0.40188310942702954</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGG</td><td>28</td><td>0.3215064875416236</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTAT</td><td>26</td><td>0.29854173843150766</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGTCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>22</td><td>0.25261224021127565</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTGATTCAAGCGTT</td><td>21</td><td>0.24112986565621772</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGATC</td><td>18</td><td>0.20668274199104375</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAGGCGTT</td><td>16</td><td>0.18371799288092777</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAG</td><td>15</td><td>0.17223561832586978</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTG</td><td>14</td><td>0.1607532437708118</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGGGCGGCTTAATTCAAGCGTT</td><td>14</td><td>0.1607532437708118</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGGTTAATTCAAGCGTT</td><td>14</td><td>0.1607532437708118</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTG</td><td>13</td><td>0.14927086921575383</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGC</td><td>13</td><td>0.14927086921575383</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGG</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTGAAGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTAG</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTA</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGGGGCGCGGCTTAATTCAAGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGGCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCACGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCGTAATTCAAGCGTT</td><td>11</td><td>0.12630612010563783</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGACGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGAT</td><td>11</td><td>0.12630612010563783</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGATA</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGC</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGGGGCTTAATTCAAGCGTT</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTGAATTCAAGCGTT</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCTGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGATA</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGAG</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCGAGCGTT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGGGGCTTAATTCAAGCGAT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTGATTCAAGCGAT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr></tbody></table></div><div class="module"><h2 id="M10"><img src="data:image/png;base64,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" alt="[OK]"/>Adapter Content</h2><p><img class="indented" 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src="data:image/png;base64,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" alt="FastQC"/>FastQC Report</div><div id="header_filename">Sat 8 Jan 2022<br/>test.fastq2_Nremove_trim_5pAtccRm.fq</div></div><div class="summary"><h2>Summary</h2><ul><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M0">Basic Statistics</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M1">Per base sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M2">Per tile sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M3">Per sequence quality scores</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M4">Per base sequence content</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M5">Per sequence GC content</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M6">Per base N content</a></li><li><img src="data:image/png;base64,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" alt="[WARNING]"/><a href="#M7">Sequence Length Distribution</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M8">Sequence Duplication Levels</a></li><li><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAEkklEQVR42s2XV2hUaxSF/4nRiaIoiKA+CDYMdsQnS8CAFREVsV4VUR9sWMECVuzYsETsGnvvivVaImhyU+Hq9VUfzKtKkptk5nz3rPkz42RyJskE5Xpgw8yZ8++1Zu+1yzGA+T8t8UPGJP1lTGquMenZxvwh02fd02+/jECOMSNdoEwX6KtrgQJjSv425rtMn3VPv+kZPfvTCLj/MM11WphnTNnnlJRA6fDhsGkTHDsG16/D2bOwfj3OtGmUDhjAZ78/oGd1RmcbTOBPY5JdRxmuo/IvyclBZ/lyeP8ePn6EoiLIyYE3b+D5c3j4EG7fhitXICMDZ8QIiv3+oM7Kh3wlRCDfmFbuwawiY0orOnWCmzfhwwcoLITsbMjKgmfP4MEDuHULLl+2kTh+PESAvXth7Voq+/RBPuRLPutFoOqfZ/1jzL8KK3l5UFAA797B69fw9Cncv29JXboEmZk2HYcOwZ49sG0bbNwIa9aAGzWnd2/kSz69IlGDgEIm1s6UKZCfD2/fwqtX8OQJ3LsHN27AxYtw5gwcPQoHDsDu3bB1K2zYAKtXw7JlsHAhzJ0LM2fipKaGI5FRK4EqwZVXtGtnc/viBTx+DHfvWsFduACnT8ORI7B/P+zaBVu2hETIqlUWeMECmDMHZsyASZNg3DgYNYrK1q2R71hhViMg5X4xJsjOnfDoEdy5A9euwfnzcOqUTUNurgXevBnWrYOVK2HJEli0yGpDaZk4EcaOhZFuNaanw6BB0KsXxT6fhFnoSUC1q/Jxhg61ir56Fc6dg5Mn4fBhq/jKSggE7GcBL14M8+bZUEsfwSCUl8OJEzBkCAwcCP37h8Dp1g2nZUuEEd0nov995iefLxASVKyiX76Eigoil4jouY4doUcPmyIRC18isW8fdO8OXbpA27bgguP388ltWMKqTsC2168lXbtWV/T27bBihRWdQKMvERI5kY0G16XvSllSkoWIsm+uCSvctkME1MfVShkzxipapSRFz54NzZtbR1J7LIlwSmLBVZrJyTXAZY4lEAjNjjABDRP1c6ZO/aHoCROgSZMfh+OR8AJv3NgTPGzCEmaEgCaahgrTp8PSpaAe0KhRzcMicfCgNwmBKx11gMuEJcyaBAQ8axa0aeN9WGFVbmPDHk6HNOHzJU4gkgKVYN++iYNHC1PirYNEjRREROi2TM/QxwPXd6/qkJDjkPAUYbgMv3kdUt7VjOKVmpcmRELd0sOfZxlGGpGi4BU2db2ysprgioxXdZSW2qEU6yclJU4jimrFwXi5C5OIBvcqUYGrjGNTOHgwTufO8VtxtWFUGwmlw6vJiIQmZCx4ixa2p7glXrUlFdY5jstrKyOP9hqx2Jx36ADz54fGdEV9xnH0QhKso5api2Ramu2q7qISdENfr4UkdiVrEIlWrex4Vim6Y9xxR3JCK1nsUlpeX2BX4dp8Qo1IE9XVQ2W/fokvpZ5ruSvMYLxQaycYPRp27Ij0BWfyZIqbNm34Wh7vxUQ1/L1ZM5z27aFnT0LTUwNs/HicYcMoce9pqfkpLya/zavZb/Ny+qvsPyB3ge/Rlc06AAAAAElFTkSuQmCC" alt="[FAIL]"/><a href="#M9">Overrepresented sequences</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M10">Adapter Content</a></li></ul></div><div class="main"><div class="module"><h2 id="M0"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAFlUlEQVR42s2XCUzTVxzHybIs0IgCLYqyQ9RtmhjCNKKbikajYVc22NThNjYjeC0yWBESxAV1Ckw8QEUF5ChnS4FyFETucwWU+7ClHKKiImLI4nCz9bv3/pS7ra1HtM1Lm/b/fp/ve+93PQMABq9y6D/Bz+ANNvethWxPw3Xs3wx/YAb9Tn6j/700AeZc1qccrhGPw2UNkk8Fx9voIceX9Tcz6Hf62/B/PPrsCxNgzjW043iyGjheRkOWQRzFt2IH/Nl4DDFyHjJ6siDoSoZ/YwB2VuyEffpGzA5iK+izdA6d+8wCyHa+SYyEsj2N/jU/aaL0vbIf0sF2tA92oOVBG+ruN6CqrwZldypR0FuMnBuXkX49C5GyaGwq3ASLU2ZKOpfaoLb0EmDibmLC8TQq5/iw/vlIaA1xjxiyQTmaH7Sitr8ekr5qlN6pQP6tImTfyIXoeiYEnSmIlSfiooyHc20R8G84htUZq0FtUFvUpk4ChldO4H6sRzvKXdEw0ISmgRZc7a/DXwRccrscebcKIb5xCWndGeB3CsGTJyBCGoPQtnCcajlLjugk/qgPxO+1h7Eqyw7UFrWpbiemCKBbRlW7lrmgcaAZV/prUXm3CsW3y3D5VgGyenKQ2p2OpM5k8NoTEC6Nxtm2MJxsPoPAxhM4XB+AA1cPwbvmADyqvPFLpQdsM1aodoIVqlUAdRp6bgv5HzBbXHFXgqLbpci9mY/MnmykdIuQ2CFATHs8wqRRONN6ASeaTyOg8TgO1fnDl4C9anzhLvHCnkp3uJTvgXOJC7YUOWN+0nww/jTJMSevvsHs+DRlSOsZFPaW4NLNPOLpYgi70pBAwFHtcbhwLRKnW8/jeHMIOecgHKw7iv1XD2Jf9X78KtmHyNZoiOQi/FiyHZsJ+Ov87/DZZUesEq8H+4SxkjLUCmDinISPY74jcm4Oe3RyVyriO/iIksUS8EWEtJ5DUFMwjhIH86s7Ap8rfvCs9oGbxBO7KtwQ3hKBrgdd6H94D3ypgIAdsD7nc6wWb8DyzDWYy58HyhifJ8ZWT5NMoLGCJ48jsZ2COHkSCSkezl+LQHBLKI40BGJLsRPW5qzDskxbLE5bDBuRDWwzV5DV2SGwNhCdAx0Yed172AdeWyyWpa/ColQbzE1+H7MTLcEOmKagrAkCaAqlWWwZf6kqlMY8+gDZ3jXZazEz0Rym8TPUDg+yetl9Kca/HikeIUUmgEXizAnPml2YDsoaSduMAJrHaSrdWvw9AYcR8LBHu0m4eJtvqRGsDS4k8DlJFlPnxM0AZVHmmABSTGg+31GxW+XRAfi51AWztKxaI/zxELNytXDVoCzKHBNAKhotKrsr9zIe7Vq+G5wEs9EJi1I+hFDKx7zkuTrAk7XCGQGERZlTBLiSuN1Ltn2BcMEEeGF3PoaI8dzObFgJ3nsuuHoBqiNwLNgMu+x1ow9SByrsyoNC+ZiBPFb8h5LrhWrhqTKhTnD1R6BywuWZn0zYejq2FTuj/k7tKEz5RPlccLVOOBKG7DATtZO+yXNATW81npD3ZHhaux5wTWE4kohoktA0cWPOelT3SkZFDMNT9ICbwCJplvpEND4Vm8ZqNrJBJWJIT7h5Ioek5a+wRLRUcyoeX4y0GaMiaEjqCn9X8A62le0ADXGLYLbmYjS+HJtGTdf5TLUNa5E1Kc8+8K09iPkJVk8vx+MbEm1H8bTBTjDFF3lfMlmVNipLREt0a0gmt2TPIsKKZEv3Ki5TU2gZt8+1168lm9yU6noc1MO3FDkxYNojhpH+YW2Gnf5Nqbq2nHHMWPVbbZNuA6firQghpZt2TRHSSGwn/eScYPNnb8s1XUxoDFtGWpD6sAgrxSvhSi4juypJ31f6ExwLSNsl/BicAOMXczF5ba5mr83l9GWN/wE1f784zfWjGwAAAABJRU5ErkJg" alt="[OK]"/>Basic Statistics</h2><table><thead><tr><th>Measure</th><th>Value</th></tr></thead><tbody><tr><td>Filename</td><td>test.fastq2_Nremove_trim_5pAtccRm.fq</td></tr><tr><td>File type</td><td>Conventional base calls</td></tr><tr><td>Encoding</td><td>Sanger / Illumina 1.9</td></tr><tr><td>Total Sequences</td><td>4391</td></tr><tr><td>Sequences flagged as poor quality</td><td>0</td></tr><tr><td>Sequence length</td><td>1-127</td></tr><tr><td>%GC</td><td>52</td></tr></tbody></table></div><div class="module"><h2 id="M1"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAFlUlEQVR42s2XCUzTVxzHybIs0IgCLYqyQ9RtmhjCNKKbikajYVc22NThNjYjeC0yWBESxAV1Ckw8QEUF5ChnS4FyFETucwWU+7ClHKKiImLI4nCz9bv3/pS7ra1HtM1Lm/b/fp/ve+93PQMABq9y6D/Bz+ANNvethWxPw3Xs3wx/YAb9Tn6j/700AeZc1qccrhGPw2UNkk8Fx9voIceX9Tcz6Hf62/B/PPrsCxNgzjW043iyGjheRkOWQRzFt2IH/Nl4DDFyHjJ6siDoSoZ/YwB2VuyEffpGzA5iK+izdA6d+8wCyHa+SYyEsj2N/jU/aaL0vbIf0sF2tA92oOVBG+ruN6CqrwZldypR0FuMnBuXkX49C5GyaGwq3ASLU2ZKOpfaoLb0EmDibmLC8TQq5/iw/vlIaA1xjxiyQTmaH7Sitr8ekr5qlN6pQP6tImTfyIXoeiYEnSmIlSfiooyHc20R8G84htUZq0FtUFvUpk4ChldO4H6sRzvKXdEw0ISmgRZc7a/DXwRccrscebcKIb5xCWndGeB3CsGTJyBCGoPQtnCcajlLjugk/qgPxO+1h7Eqyw7UFrWpbiemCKBbRlW7lrmgcaAZV/prUXm3CsW3y3D5VgGyenKQ2p2OpM5k8NoTEC6Nxtm2MJxsPoPAxhM4XB+AA1cPwbvmADyqvPFLpQdsM1aodoIVqlUAdRp6bgv5HzBbXHFXgqLbpci9mY/MnmykdIuQ2CFATHs8wqRRONN6ASeaTyOg8TgO1fnDl4C9anzhLvHCnkp3uJTvgXOJC7YUOWN+0nww/jTJMSevvsHs+DRlSOsZFPaW4NLNPOLpYgi70pBAwFHtcbhwLRKnW8/jeHMIOecgHKw7iv1XD2Jf9X78KtmHyNZoiOQi/FiyHZsJ+Ov87/DZZUesEq8H+4SxkjLUCmDinISPY74jcm4Oe3RyVyriO/iIksUS8EWEtJ5DUFMwjhIH86s7Ap8rfvCs9oGbxBO7KtwQ3hKBrgdd6H94D3ypgIAdsD7nc6wWb8DyzDWYy58HyhifJ8ZWT5NMoLGCJ48jsZ2COHkSCSkezl+LQHBLKI40BGJLsRPW5qzDskxbLE5bDBuRDWwzV5DV2SGwNhCdAx0Yed172AdeWyyWpa/ColQbzE1+H7MTLcEOmKagrAkCaAqlWWwZf6kqlMY8+gDZ3jXZazEz0Rym8TPUDg+yetl9Kca/HikeIUUmgEXizAnPml2YDsoaSduMAJrHaSrdWvw9AYcR8LBHu0m4eJtvqRGsDS4k8DlJFlPnxM0AZVHmmABSTGg+31GxW+XRAfi51AWztKxaI/zxELNytXDVoCzKHBNAKhotKrsr9zIe7Vq+G5wEs9EJi1I+hFDKx7zkuTrAk7XCGQGERZlTBLiSuN1Ltn2BcMEEeGF3PoaI8dzObFgJ3nsuuHoBqiNwLNgMu+x1ow9SByrsyoNC+ZiBPFb8h5LrhWrhqTKhTnD1R6BywuWZn0zYejq2FTuj/k7tKEz5RPlccLVOOBKG7DATtZO+yXNATW81npD3ZHhaux5wTWE4kohoktA0cWPOelT3SkZFDMNT9ICbwCJplvpEND4Vm8ZqNrJBJWJIT7h5Ioek5a+wRLRUcyoeX4y0GaMiaEjqCn9X8A62le0ADXGLYLbmYjS+HJtGTdf5TLUNa5E1Kc8+8K09iPkJVk8vx+MbEm1H8bTBTjDFF3lfMlmVNipLREt0a0gmt2TPIsKKZEv3Ki5TU2gZt8+1168lm9yU6noc1MO3FDkxYNojhpH+YW2Gnf5Nqbq2nHHMWPVbbZNuA6firQghpZt2TRHSSGwn/eScYPNnb8s1XUxoDFtGWpD6sAgrxSvhSi4juypJ31f6ExwLSNsl/BicAOMXczF5ba5mr83l9GWN/wE1f784zfWjGwAAAABJRU5ErkJg" alt="[OK]"/>Per base sequence quality</h2><p><img class="indented" 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" alt="Per base quality graph" width="1020" height="600"/></p></div><div class="module"><h2 id="M2"><img src="data:image/png;base64,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" alt="[OK]"/>Per tile sequence quality</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per base quality graph" width="1020" height="600"/></p></div><div class="module"><h2 id="M3"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAFlUlEQVR42s2XCUzTVxzHybIs0IgCLYqyQ9RtmhjCNKKbikajYVc22NThNjYjeC0yWBESxAV1Ckw8QEUF5ChnS4FyFETucwWU+7ClHKKiImLI4nCz9bv3/pS7ra1HtM1Lm/b/fp/ve+93PQMABq9y6D/Bz+ANNvethWxPw3Xs3wx/YAb9Tn6j/700AeZc1qccrhGPw2UNkk8Fx9voIceX9Tcz6Hf62/B/PPrsCxNgzjW043iyGjheRkOWQRzFt2IH/Nl4DDFyHjJ6siDoSoZ/YwB2VuyEffpGzA5iK+izdA6d+8wCyHa+SYyEsj2N/jU/aaL0vbIf0sF2tA92oOVBG+ruN6CqrwZldypR0FuMnBuXkX49C5GyaGwq3ASLU2ZKOpfaoLb0EmDibmLC8TQq5/iw/vlIaA1xjxiyQTmaH7Sitr8ekr5qlN6pQP6tImTfyIXoeiYEnSmIlSfiooyHc20R8G84htUZq0FtUFvUpk4ChldO4H6sRzvKXdEw0ISmgRZc7a/DXwRccrscebcKIb5xCWndGeB3CsGTJyBCGoPQtnCcajlLjugk/qgPxO+1h7Eqyw7UFrWpbiemCKBbRlW7lrmgcaAZV/prUXm3CsW3y3D5VgGyenKQ2p2OpM5k8NoTEC6Nxtm2MJxsPoPAxhM4XB+AA1cPwbvmADyqvPFLpQdsM1aodoIVqlUAdRp6bgv5HzBbXHFXgqLbpci9mY/MnmykdIuQ2CFATHs8wqRRONN6ASeaTyOg8TgO1fnDl4C9anzhLvHCnkp3uJTvgXOJC7YUOWN+0nww/jTJMSevvsHs+DRlSOsZFPaW4NLNPOLpYgi70pBAwFHtcbhwLRKnW8/jeHMIOecgHKw7iv1XD2Jf9X78KtmHyNZoiOQi/FiyHZsJ+Ov87/DZZUesEq8H+4SxkjLUCmDinISPY74jcm4Oe3RyVyriO/iIksUS8EWEtJ5DUFMwjhIH86s7Ap8rfvCs9oGbxBO7KtwQ3hKBrgdd6H94D3ypgIAdsD7nc6wWb8DyzDWYy58HyhifJ8ZWT5NMoLGCJ48jsZ2COHkSCSkezl+LQHBLKI40BGJLsRPW5qzDskxbLE5bDBuRDWwzV5DV2SGwNhCdAx0Yed172AdeWyyWpa/ColQbzE1+H7MTLcEOmKagrAkCaAqlWWwZf6kqlMY8+gDZ3jXZazEz0Rym8TPUDg+yetl9Kca/HikeIUUmgEXizAnPml2YDsoaSduMAJrHaSrdWvw9AYcR8LBHu0m4eJtvqRGsDS4k8DlJFlPnxM0AZVHmmABSTGg+31GxW+XRAfi51AWztKxaI/zxELNytXDVoCzKHBNAKhotKrsr9zIe7Vq+G5wEs9EJi1I+hFDKx7zkuTrAk7XCGQGERZlTBLiSuN1Ltn2BcMEEeGF3PoaI8dzObFgJ3nsuuHoBqiNwLNgMu+x1ow9SByrsyoNC+ZiBPFb8h5LrhWrhqTKhTnD1R6BywuWZn0zYejq2FTuj/k7tKEz5RPlccLVOOBKG7DATtZO+yXNATW81npD3ZHhaux5wTWE4kohoktA0cWPOelT3SkZFDMNT9ICbwCJplvpEND4Vm8ZqNrJBJWJIT7h5Ioek5a+wRLRUcyoeX4y0GaMiaEjqCn9X8A62le0ADXGLYLbmYjS+HJtGTdf5TLUNa5E1Kc8+8K09iPkJVk8vx+MbEm1H8bTBTjDFF3lfMlmVNipLREt0a0gmt2TPIsKKZEv3Ki5TU2gZt8+1168lm9yU6noc1MO3FDkxYNojhpH+YW2Gnf5Nqbq2nHHMWPVbbZNuA6firQghpZt2TRHSSGwn/eScYPNnb8s1XUxoDFtGWpD6sAgrxSvhSi4juypJ31f6ExwLSNsl/BicAOMXczF5ba5mr83l9GWN/wE1f784zfWjGwAAAABJRU5ErkJg" alt="[OK]"/>Per sequence quality scores</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per Sequence quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M4"><img src="data:image/png;base64,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" alt="[FAIL]"/>Per base sequence content</h2><p><img class="indented" 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" alt="Per base sequence content" width="1020" height="600"/></p></div><div class="module"><h2 id="M5"><img src="data:image/png;base64,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" alt="[FAIL]"/>Per sequence GC content</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per sequence GC content graph" width="800" height="600"/></p></div><div class="module"><h2 id="M6"><img src="data:image/png;base64,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" alt="[OK]"/>Per base N content</h2><p><img class="indented" 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/qZTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzR70AymUwmk8lkMpmi38nBZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9DiSTyWQymUwmkyn6nRxMJpPJZDKZTKboZzKZTCaTyWQyRb/oZzKZTCaTyWQyRb/oZzKZTCaTyWQyRb/oZzKZTCaTyWQyRb/oZzKZTCaTyWQyRb8DyWQymUwmk8lkin4nB5PJZDKZTCaTKfqdHEwmk8lkMplM0S/6mUwmk8lkMplM0S/6mUwmk8lkMplM0S/6mUwmk8lkMpnMa0f/8HYPBT/7fNHPZDKZTCaTyWSeLPpXC170M5lMJpPJZDKZF4z+6b3+op/JZDKZTCaTyTxr9M9expOL/puZmZmZme24UPQ/lP3SJT3u6WcymUwmk8lkMs96T/9StYt+JpPJZDKZTCZT9It+JpPJZDKZTCbzJNf03/959rJ+j97DZDKZTCaTyWSe+55+j9PPZDKZTCaTyWS+0OU9ra7oZzKZTCaTyWQyRb8DyWQymUwmk8lkin4nB5PJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9DuQTCaTyWQymUym6HdyMJlMJpPJZDKZop/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9DiSTyWQymUwmkyn6nRxMJpPJZDKZTKbod3IwmUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/A8lkMplMJpPJZIp+JweTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/Q7kEwmk8lkMplMpuh3cjCZTCaTyWQymaKfyWQymUwmk8kU/aKfyWQymUwmk8kU/aKfyWQymUwmk8kU/aKfyWQymUwmk8kU/aKfyWQymUwmk8kU/Q4kk8lkMplMJpMp+p0cTCaTyWQymUym6HdyMJlMJpPJZDJFv+hnMplMJpPJZDJFv+hnMplMJpPJZDJFv+hnMplMJpPJZDJfJPqHvzd9zvT5op/JZDKZTCaTybxO9NemvOhnMplMJpPJZDIPGv2fYv0+2Zd+ABD9TCaTyWQymUzm+aJ/9h79XPTfzMzMzMxsxz0h+t3Tz2QymUwmk8lkHu6e/qXQF/1MJpPJZDKZTOZ1ov9hop/JZDKZTCaTybxU9BeS3aP3MJlMJpPJZDKZ149+j9PPZDKZTCaTyWReKvo7uKKfyWQymUwmk8kU/Q4kk8lkMplMJpMp+p0cTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzRL/qZTCaTyWQymUzR70AymUwmk8lkMpmi38nBZDKZTCaTyWSKfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/Q7kEwmk8lkMplMpuh3cjCZTCaTyWQymaLfycFkMplMJpPJFP2in8lkMplMJpPJFP2in8lkMplMJpPJFP2in8lkMplMJpPJFP2in8lkMplMJpPJFP2in8lkMplMJpPJFP0OJJPJZDKZTCaTKfqdHEwmk8lkMplM0S/6mUwmk8lkMplM0S/6mUwmk8lkMplM0S/6mUwmk8lkMplM0S/6mUwmk8lkMplM0S/6mUwmk8lkMplM0e9AMplMJpPJZDKZot/JwWQymUwmk8lkin4mk8lkMplMJlP0i34mk8lkMplMJlP0i34mk8lkMplMJlP0i34mk8lkMplMJlP0i34mk8lkMplMJlP0O5BMJpPJZDKZTKbod3IwmUwmk8lkMpmi38nBZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTybx89A93izxf9DOZTCaTyWQymWeK/mnoT/8s+plMJpPJZDKZzHPf0z9b7YUfBkQ/k8lkMplMJpP5utF/MzMzMzOzHVcR/dNr993Tz2QymUwmk8lkuqdf9DOZTCaTyWQymaLfgWQymUwmk8lkMj16j5ODyWQymUwmk8nc/J5+j9PPZDKZTCaTyWS+0OU9ra7oZzKZTCaTyWQyRb8DyWQymUwmk8lkin4nB5PJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9It+JpPJZDKZTCZT9DuQTCaTyWQymUym6HdyMJlMJpPJZDKZop/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9op/JZDKZTCaTyRT9DiSTyWQymUwmkyn6nRxMJpPJZDKZTKbod3IwmUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/6GcymUwmk8lkMkW/A8lkMplMJpPJZIp+JweTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/SLfiaTyWQymUwmU/Q7kEwmk8lkMplMpuh3cjCZTCaTyWQymaKfyWQymUwmk8kU/aKfyWQymUwmk8kU/aKfyWQymUwmk8kU/aKfyWQymUwmk8kU/aKfyWQymUwmk8kU/Q4kk8lkMplMJpMp+p0cTCaTyWQymUym6HdyMJlMJpPJZDJFv+hnMplMJpPJZDJFv+hnMplMJpPJZDJFv+hnMplMJpPJZDIvH/3D3SLPF/1MJpPJZDKZTOaZov8+0x/6/sufRT+TyWQymUwmk3nue/pnq316r7/oZzKZTCaTyWQyRf94MzMzMzOzHVcd/bPX9rinn8lkMplMJpPJvMg9/eXKF/1MJpPJZDKZTOa5o38a66KfyWQymUwmk8m8TvQvlbpH72EymUwmk8lkMq8Q/cNks38l+plMJpPJZDKZzBPf09/TFf1MJpPJZDKZTKbodyCZTCaTyWQymUzR7+RgMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+B5LJZDKZTCaTyRT9Tg4mk8lkMplMJlP0M5lMJpPJZDKZol/0M5lMJpPJZDKZol/0M5lMJpPJZDKZol/0M5lMJpPJZDKZol/0M5lMJpPJZDKZot+BZDKZTCaTyWQyRb+Tg8lkMplMJpPJFP1ODiaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6HcgmUwmk8lkMplM0e/kYDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKfgeSyWQymUwmk8kU/U4OJpPJZDKZTCZT9DOZTCaTyWQymaJf9DOZTCaTyWQymaJf9DOZTCaTyWQymaJf9DOZTCaTyWQymaJf9DOZTCaTyWQymaLfgWQymUwmk8lkMkW/k4PJZDKZTCaTyRT9Tg4mk8lkMplMpugX/Uwmk8lkMplMpugX/Uwmk8lkMplMpugX/Uwmk8lkMplM5rWjf/i82YIv/K3oZzKZTCaTyWQyz3RP/1L016a86GcymUwmk8lkMk8T/Q/PCda86GcymUwmk8lkMi8e/TczMzMzM9tx7ulnMplMJpPJZDLd0y/6mUwmk8lkMplM0S/6mUwmk8lkMpnMa0b/6NF7mEwmk8lkMpnMa0T/8HYPBe9x+plMJpPJZDKZzIvc09/NFf1MJpPJZDKZTKbodyCZTCaTyWQymUzR7+RgMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+0c9kMplMJpPJZIp+B5LJZDKZTCaTyRT9Tg4mk8lkMplMJlP0M5lMJpPJZDKZol/0M5lMJpPJZDKZol/0M5lMJpPJZDKZol/0M5lMJpPJZDKZol/0M5lMJpPJZDKZot+BZDKZTCaTyWQyRb+Tg8lkMplMJpPJFP1ODiaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6Bf9TCaTyWQymUym6HcgmUwmk8lkMplM0e/kYDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKftHPZDKZTCaTyWSKfgeSyWQymUwmk8kU/U4OJpPJZDKZTCZT9DOZTCaTyWQymaJf9DOZTCaTyWQymaJf9DOZTCaTyWQymaJf9DOZTCaTyWQymaJf9DOZTCaTyWQymaLfgWQymUwmk8lkMkW/k4PJZDKZTCaTyRT9Tg4mk8lkMplMpugX/Uwmk8lkMplMpugX/Uwmk8lkMplMpugX/Uwmk8lkMplM5uWjf7ib6GcymUwmk8lkMq8Z/bXJLvqZTCaTyWQymczTRP9Dpjd2//TV//rll//++OP06V8//PDw9M9373776qt/vHv38Pzp6/753Xe/f/31n99/z2QymUwmk8lkHsr89PTvn3++cvTfJvv1228/DIMnT548efLkyZMnT6/z9LGBb3vtCdE/3V/v3//vp58iTx9/cvrjm28+/q+X9JJe0kt6SS/pJb2kl/SSJ33JT08fG3g8wPaLfjMzMzMzE/1mZmZmZrZl9I9dH73HzMzMzMwOGv29HqffzMzMzMyOGP1b3UbNDxLxHzxqf0RZfcnh7bq8X8Nke77vhZdZFVpe9wi3vvqSZWH2davOkKWXjAjlW2/8PGq89dpPkJZj1/fzfYdbX/0QRc75lrNu6fimP2dr7wZKn3XlW686aQtI99c9wq37Wvf0r3Xt37k6fjdMv/F9P6MT79Hq8zd9j857jA4X/V/eyaqXWT2fEvjqF+7cu1P1HbH9Pbp/R2o/qo0f58RHvkVY+uSP3PTq+1j+BE5/tFffx1Wt/PFJHPGlc3XpK1Tk5hKfcfGzrvy67bceOXly50Dix4kuH+r4sQ5+uuX+iVfkTAt+0jV+KGbf3/hPTS0fhEbh/nVzZ136a92YusS38HZGvtYVXqb20zz4da/28zrRZOUvrYkfzKrMLSIy8SmZLq7cmdD+HrU0Q635xKtpjhX97V/iyy/QK/pzB6zxC3fH7E7/KNLlBRqjv8shi5wPLd8It4iA9s+j7t+9Wj7jVv+q/bTMVWz76+ber46lmziF2r82Nv58uM+3g02/GLb/7NTlrKv6Wtcl+tNf67a7g6PXl9Ze3+tbjlGteYTobymuZ0V/ezPETdG/bYXH7y+J/zJ3TP3iW/QfIfprP/Ee7nvL/c73ONFf+6vzjb60rX7Fb2zrXEK1vG75DAne69nyi+Cl4xuPm8Kv1+M/5s3e+uolLsGXEf1VXyLSv1esPeuOGf1VZ9Szoj/9W8T2Y7dR9Df+XnTry3taPhk7Rr/Le5L3/QSvOEx824hfYNPxrqz49aPxW285TRNXsAW/KCS+neQ+8n3vDQqeIUsfpUQ+tqRP+TKVxK2P9ZcopNMqd114OTsi16HOfsXPnXXpHzVbLs6e/XPwU3LpVhIXWqz+uerz+onF3/hDctWV8emvdekfNcfwvzpw1p0l+mu/Tx0/+vd8j1qaoaWmXj36O/6EkL7Wrfu/KMiF6WqTdbzvajVSu3wfXb1/Iv49uO8F7rXfdTpe4xuP7I6X9yRuvfHeytWzLnjuJT7fI+97+eWrzrryjxAtP1wlvi7Vvu/jlhdaJG593OYapy0+34MfxuCtB8+6yEd+6azr8m94ZsHg+554Y/a59X2iP/6VIf17752jv+U96lUd2wVe7j3q2BLXjP6+FwKl/yX+nhfYjP2uVu/18/T+0b/brccfD6T7KX2oa/o3uvXyR7jLo10lPt/j94q13HrhI594EJ6toz9Rqx2jv++tv/LXuuBlHlv/w/0X/FrX8a6uxPejw0Z/43fY50b/ed+js0Z/4wUbLXjto4sEX7L7V5za3120XKp4wEfv2fSbdPyDln50qYM8ek8uAhp/BdfrAbKeeHV1+9eQlseMSn9dqvqXErkLLYK3HvnXFH2j//Jf61quTQ/eA934oE+5h2xKPOJf1ffo9lvPnYfpX6cEzcQjVm304/QW/5B30/doi4ulG1vilNGfe6D6jo9qX3VEu/9XAhIXYScuFq/6yAfvAWp59OVGIfK6Ve977TfC7R45u/2xq59y62Pzr+Bq7+1ufJz+RiF31gXP7S2OmrNui9/etH+db7yD8FxnXe59L9/0/rc+tl3Y0/Jdr5e5xaPaJ74ydHzQgv3fo5Zm6NsS54t+MzMzMzN74kS/mZmZmZnoNzMzMzMz0W9mZmZmZqLfzMzMzMxEv5mZmZmZiX4zMzMzMxP9ZmZmZmYm+s3MzMzMRL+ZmZmZmYl+MzOzhW8txf9effllCubO/8l6MzPRb2ama9+sMY4fhC51+8RELkR/y5sn+s3MRL+Z2TO7trFHL5azot/MTPSbmV08+pd+AzB95qc/T19+VXt4xfJbGH/hh7eh/F4Unj97K8GXLzu638xM9JuZPT/6p9082/FLf4hrq/ea177wtLzL70Xk7VyN/qp3U/SbmYl+M7O9o79wH3yh7yN/m35++wvHX2Wjm8i9JWZmJvrNzDaJ/sjzZy9cOUX0V11+I/rNzES/mZnoX8nxg9/T31jqot/MTPSbmV0t+ve5pn/r6F/9jUT8QvzZW0lc06/4zcxEv5nZIaJ/rH/0nulfBR+9Z7voD74X8UfdKb9fQUf0m5mJfjMzO8FPSqvhHvkVipmZiX4zMzv3DwY+CGZmot/MzES/mZmJfjMzMzMzE/1mZmZmZq+z/wNvH7PLGe+NfQAAAABJRU5ErkJg" alt="N content graph" width="1020" height="600"/></p></div><div class="module"><h2 id="M7"><img src="data:image/png;base64,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" alt="[WARN]"/>Sequence Length Distribution</h2><p><img class="indented" src="data:image/png;base64,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" alt="Sequence length distribution" width="800" height="600"/></p></div><div class="module"><h2 id="M8"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAFlUlEQVR42s2XCUzTVxzHybIs0IgCLYqyQ9RtmhjCNKKbikajYVc22NThNjYjeC0yWBESxAV1Ckw8QEUF5ChnS4FyFETucwWU+7ClHKKiImLI4nCz9bv3/pS7ra1HtM1Lm/b/fp/ve+93PQMABq9y6D/Bz+ANNvethWxPw3Xs3wx/YAb9Tn6j/700AeZc1qccrhGPw2UNkk8Fx9voIceX9Tcz6Hf62/B/PPrsCxNgzjW043iyGjheRkOWQRzFt2IH/Nl4DDFyHjJ6siDoSoZ/YwB2VuyEffpGzA5iK+izdA6d+8wCyHa+SYyEsj2N/jU/aaL0vbIf0sF2tA92oOVBG+ruN6CqrwZldypR0FuMnBuXkX49C5GyaGwq3ASLU2ZKOpfaoLb0EmDibmLC8TQq5/iw/vlIaA1xjxiyQTmaH7Sitr8ekr5qlN6pQP6tImTfyIXoeiYEnSmIlSfiooyHc20R8G84htUZq0FtUFvUpk4ChldO4H6sRzvKXdEw0ISmgRZc7a/DXwRccrscebcKIb5xCWndGeB3CsGTJyBCGoPQtnCcajlLjugk/qgPxO+1h7Eqyw7UFrWpbiemCKBbRlW7lrmgcaAZV/prUXm3CsW3y3D5VgGyenKQ2p2OpM5k8NoTEC6Nxtm2MJxsPoPAxhM4XB+AA1cPwbvmADyqvPFLpQdsM1aodoIVqlUAdRp6bgv5HzBbXHFXgqLbpci9mY/MnmykdIuQ2CFATHs8wqRRONN6ASeaTyOg8TgO1fnDl4C9anzhLvHCnkp3uJTvgXOJC7YUOWN+0nww/jTJMSevvsHs+DRlSOsZFPaW4NLNPOLpYgi70pBAwFHtcbhwLRKnW8/jeHMIOecgHKw7iv1XD2Jf9X78KtmHyNZoiOQi/FiyHZsJ+Ov87/DZZUesEq8H+4SxkjLUCmDinISPY74jcm4Oe3RyVyriO/iIksUS8EWEtJ5DUFMwjhIH86s7Ap8rfvCs9oGbxBO7KtwQ3hKBrgdd6H94D3ypgIAdsD7nc6wWb8DyzDWYy58HyhifJ8ZWT5NMoLGCJ48jsZ2COHkSCSkezl+LQHBLKI40BGJLsRPW5qzDskxbLE5bDBuRDWwzV5DV2SGwNhCdAx0Yed172AdeWyyWpa/ColQbzE1+H7MTLcEOmKagrAkCaAqlWWwZf6kqlMY8+gDZ3jXZazEz0Rym8TPUDg+yetl9Kca/HikeIUUmgEXizAnPml2YDsoaSduMAJrHaSrdWvw9AYcR8LBHu0m4eJtvqRGsDS4k8DlJFlPnxM0AZVHmmABSTGg+31GxW+XRAfi51AWztKxaI/zxELNytXDVoCzKHBNAKhotKrsr9zIe7Vq+G5wEs9EJi1I+hFDKx7zkuTrAk7XCGQGERZlTBLiSuN1Ltn2BcMEEeGF3PoaI8dzObFgJ3nsuuHoBqiNwLNgMu+x1ow9SByrsyoNC+ZiBPFb8h5LrhWrhqTKhTnD1R6BywuWZn0zYejq2FTuj/k7tKEz5RPlccLVOOBKG7DATtZO+yXNATW81npD3ZHhaux5wTWE4kohoktA0cWPOelT3SkZFDMNT9ICbwCJplvpEND4Vm8ZqNrJBJWJIT7h5Ioek5a+wRLRUcyoeX4y0GaMiaEjqCn9X8A62le0ADXGLYLbmYjS+HJtGTdf5TLUNa5E1Kc8+8K09iPkJVk8vx+MbEm1H8bTBTjDFF3lfMlmVNipLREt0a0gmt2TPIsKKZEv3Ki5TU2gZt8+1168lm9yU6noc1MO3FDkxYNojhpH+YW2Gnf5Nqbq2nHHMWPVbbZNuA6firQghpZt2TRHSSGwn/eScYPNnb8s1XUxoDFtGWpD6sAgrxSvhSi4juypJ31f6ExwLSNsl/BicAOMXczF5ba5mr83l9GWN/wE1f784zfWjGwAAAABJRU5ErkJg" alt="[OK]"/>Sequence Duplication Levels</h2><p><img class="indented" src="data:image/png;base64,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" alt="Duplication level graph" width="800" height="600"/></p></div><div class="module"><h2 id="M9"><img src="data:image/png;base64,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" alt="[FAIL]"/>Overrepresented sequences</h2><table><thead><tr><th>Sequence</th><th>Count</th><th>Percentage</th><th>Possible Source</th></tr></thead><tbody><tr><td>TTAGACGGATCCACTAGTTCTAGAGCGGCCGCCACCGCGGTGGAGCTCCA</td><td>146</td><td>3.3249829196082894</td><td>No Hit</td></tr><tr><td>TT</td><td>92</td><td>2.0951947164654974</td><td>No Hit</td></tr><tr><td>TTATACAGCAAGCGCGCACCGACTCTGACAATCGGCATATCCGGTTCGCC</td><td>86</td><td>1.958551582782965</td><td>No Hit</td></tr><tr><td>TTAAAACCTCTTCAAATTTGCCGTGCAAATTTGGTAGGCCTGAGTGGACT</td><td>83</td><td>1.890230015941699</td><td>No Hit</td></tr><tr><td>TTA</td><td>74</td><td>1.6852653154179003</td><td>No Hit</td></tr><tr><td>TTGGCGAAGTAATCGCAACATCCGCATTAAAATCTAGCGAGGGCTTTACT</td><td>50</td><td>1.1386927806877705</td><td>No Hit</td></tr><tr><td>TTTACCAGCATTAAGGAACAGCTGCTTACGGTCGGCGTGGGTTGCCAGCA</td><td>32</td><td>0.7287633796401731</td><td>No Hit</td></tr><tr><td>ATCACAGGCGTAAACGTCGCCGTTGTGCTCAACAATCACCGAGCGCCCAC</td><td>30</td><td>0.6832156684126622</td><td>No Hit</td></tr><tr><td>TTAT</td><td>26</td><td>0.5921202459576406</td><td>No Hit</td></tr><tr><td>AT</td><td>23</td><td>0.5237986791163743</td><td>No Hit</td></tr><tr><td>GTACGATGTCACTGTGCACGACGATGGTCACTTCCAAGGCGCGGAGTGCC</td><td>19</td><td>0.43270325666135273</td><td>No Hit</td></tr><tr><td>ATCATCGTACGCAAGTGACCAACGCTGTCGATGGTGTCTTTGATGCCAAC</td><td>17</td><td>0.38715554543384195</td><td>No Hit</td></tr><tr><td>TTATCCAGCGCGAGCACTCGCTCTATCACCATTTCACGAGTTTCAAGGTT</td><td>16</td><td>0.36438168982008656</td><td>No Hit</td></tr><tr><td>ATGAGGAGCGAAGGCATGAAACCATATCAGCGCCAGTTTATTGAATTTGC</td><td>16</td><td>0.36438168982008656</td><td>No Hit</td></tr><tr><td>ATATAGAGCATTTTTGCCTCCTTTCGCGCCACAAGAAATTAACTGTAGCG</td><td>15</td><td>0.3416078342063311</td><td>No Hit</td></tr><tr><td>TTAGGCGACAACGTGATGGTTGCGCCGGTGTTCACTGAAGCGGGCGATGT</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTG</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTATCAATACTGCCTTCAATCAGTACATTGGTGGCAGGAACATCATTGAG</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTATCCGAAGCGATGAGAGTTATCCCGTAACCGGGTCAGCCACTGCATAG</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTACGCATAGTCATTTCTCCTTCTAAGAAGCGAGTAAGTACCTGCAAATC</td><td>13</td><td>0.2960601229788203</td><td>No Hit</td></tr><tr><td>TTACGCATAATCAATAGCTCCTGAAATCAGCGAGAATGTAAGACCTTCCA</td><td>12</td><td>0.2732862673650649</td><td>No Hit</td></tr><tr><td>TTAG</td><td>12</td><td>0.2732862673650649</td><td>No Hit</td></tr><tr><td>TTATCCGGCCAGGCGGGAACTGCAGTTCGGAGAGTGGCAGCGCAAAGACA</td><td>10</td><td>0.2277385561375541</td><td>No Hit</td></tr><tr><td>TTAACCTTCACCAGCGTGCGACCCTGGATCTGGTTATTAATGATGGCCTC</td><td>10</td><td>0.2277385561375541</td><td>No Hit</td></tr><tr><td>ATA</td><td>10</td><td>0.2277385561375541</td><td>No Hit</td></tr><tr><td>TTATCCAGATAGTTCGCCAGCTCTTCATTATTGAGTTTTTTCTTAAGCAC</td><td>9</td><td>0.20496470052379867</td><td>No Hit</td></tr><tr><td>TTAATTGGCATCAACACTGCAATCCTTGCGCCTGGCGGCGGGAGCGTCGG</td><td>9</td><td>0.20496470052379867</td><td>No Hit</td></tr><tr><td>TTATCCGGCGTGTAGGCATCGTCATGACGTAAACGGCGATCGGCGGTATA</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>ATCTACCGCGAAGGTTTTACCGGACTGGATCTGGCTTCGTCTGCCGCACA</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>TTAGGGATTAGCGTCTTAAGCTGGCGCGAGGACCAACGTATCAGCCAGGC</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>TTAA</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>ATC</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>T</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTT</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTATGGCTACTGGCGGTGCGGGTCGCGTTTATCGTTACAACACCAACGGC</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTATCCGGCGTTGCAACCTGTGAGCTGTAGATCATATCGGTGATAGCCTG</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>ATG</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTAAA</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTC</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTAGCATGACTCACGCCGGGCGTCCAGTTTTTAGCGACGGGGCACCCGAA</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTAGTGCGCTGGTTAGCGTGCGGGATAACGCCTGTCAGGATTATCTCGCG</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTATCCATCAGGGAGTTACTGTAAGCGAGAATATATTTATCACTCAATGC</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>ATAACCAGCATCAGCATTGGCGCGTAGAGAAAGGTAAAGCCCAGCAGCAA</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTATGCACCGCATCGTGAGCATCTTTCCCCCAGGCGAACGGCCCGTGCTG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTATA</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>GT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTAAGCTGCACCACACCGATACCGAGCGTAGTGGCAATACCGAAGATAGT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTAAATACCGTCGGCGCGTTAATCGGCCCAACTGCGCCACCAACACCAAT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>ATCA</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTGATCGTCAAAACCAACATTGCGACCGACGGTGGCGATAGGCATCCGGG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTATATACCAGGCTTAGCTGGGGTTGCCCCTTAATCTCTGGAGAATAACG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTGAGTTTCAGCAGCCGCGGTTCCGCCAGCACTTTACTGAAACTGCCTTT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>ATCTACCGCGAGGTTAAGCTGCTGTTCAATCTGGGCGACGCTCAGTTCGG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr></tbody></table></div><div class="module"><h2 id="M10"><img src="data:image/png;base64,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" alt="[OK]"/>Adapter Content</h2><p><img class="indented" 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" alt="Adapter graph" width="945" height="600"/></p></div></div><div class="footer">Produced by <a href="http://www.bioinformatics.babraham.ac.uk/projects/fastqc/">FastQC</a> (version 0.11.8)</div></body></html>
\ No newline at end of file
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/fastQC2/test.fastq2_Nremove_trim_5pAtccRm_fastqc.zip b/example_of_result/20211201_res_CL14985_test_1641660055/fastQC2/test.fastq2_Nremove_trim_5pAtccRm_fastqc.zip
deleted file mode 100644
index 70a191689c1a5b498cf23df6ee59e94ec2d6c0d8..0000000000000000000000000000000000000000
Binary files a/example_of_result/20211201_res_CL14985_test_1641660055/fastQC2/test.fastq2_Nremove_trim_5pAtccRm_fastqc.zip and /dev/null differ
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_dag.dot b/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_dag.dot
deleted file mode 100644
index 0dff07b43a1c5d864bc1749315c5c8ac381f90c2..0000000000000000000000000000000000000000
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_dag.dot
+++ /dev/null
@@ -1,226 +0,0 @@
-digraph "nf_dag" {
-p0 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.fromPath"];
-p16 [label="Nremove"];
-p0 -> p16 [label="fastq_ch"];
-
-p1 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.fromPath"];
-p17 [label="trim"];
-p1 -> p17 [label="primer_ch"];
-
-p2 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p17 [label="trim"];
-p2 -> p17 [label="alien_l_param_ch"];
-
-p3 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p4 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p3 -> p4;
-
-p4 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p20 [label="plot_fivep_filtering_stat"];
-p4 -> p20 [label="attc_seq_ch2"];
-
-p4 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p19 [label="fivep_filtering"];
-p4 -> p19 [label="attc_seq_ch1"];
-
-p5 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p19 [label="fivep_filtering"];
-p5 -> p19 [label="fivep_seq_filtering_ch"];
-
-p6 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p19 [label="fivep_filtering"];
-p6 -> p19 [label="fivep_seq_nb_ch"];
-
-p7 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p19 [label="fivep_filtering"];
-p7 -> p19 [label="added_nb_ch"];
-
-p8 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p9 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="toInteger"];
-p8 -> p9;
-
-p9 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="toInteger"];
-p10 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="sum"];
-p9 -> p10;
-
-p10 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="sum"];
-p19 [label="fivep_filtering"];
-p10 -> p19 [label="sum_ch"];
-
-p11 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p12 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p11 -> p12;
-
-p12 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p34 [label="print_report"];
-p12 -> p34 [label="cute_ch5"];
-
-p12 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p22 [label="plot_read_length_ini"];
-p12 -> p22 [label="cute_ch2"];
-
-p12 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p23 [label="plot_read_length_fivep_filtering"];
-p12 -> p23 [label="cute_ch3"];
-
-p12 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p20 [label="plot_fivep_filtering_stat"];
-p12 -> p20 [label="cute_ch1"];
-
-p12 [shape=circle,label="",fixedsize=true,width=0.1,xlabel="into"];
-p25 [label="plot_read_length_cutoff"];
-p12 -> p25 [label="cute_ch4"];
-
-p13 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p24 [label="cutoff"];
-p13 -> p24 [label="cutoff_nb_ch"];
-
-p14 [shape=point,label="",fixedsize=true,width=0.1,xlabel="Channel.from"];
-p27 [label="bowtie2"];
-p14 -> p27 [label="ref_genome_ch"];
-
-p15 [label="init"];
-p16 [label="Nremove"];
-p15 -> p16 [label="log_ch0"];
-
-p16 [label="Nremove"];
-p17 [label="trim"];
-p16 -> p17 [label="fastq_Nremove_ch"];
-
-p16 [label="Nremove"];
-p17 [label="trim"];
-p16 -> p17 [label="log_ch1"];
-
-p17 [label="trim"];
-p18 [label="fastqc1"];
-p17 -> p18 [label="fastq_trim_ch1"];
-
-p17 [label="trim"];
-p19 [label="fivep_filtering"];
-p17 -> p19 [label="fastq_trim_ch2"];
-
-p17 [label="trim"];
-p18 [label="fastqc1"];
-p17 -> p18 [label="log_ch2"];
-
-p18 [label="fastqc1"];
-p19 [label="fivep_filtering"];
-p18 -> p19 [label="log_ch3"];
-
-p19 [label="fivep_filtering"];
-p26 [label="fastqc2"];
-p19 -> p26 [label="fastq_5p_filter_ch1"];
-
-p19 [label="fivep_filtering"];
-p24 [label="cutoff"];
-p19 -> p24 [label="fastq_5p_filter_ch2"];
-
-p19 [label="fivep_filtering"];
-p22 [label="plot_read_length_ini"];
-p19 -> p22 [label="length_fastq_ini_ch"];
-
-p19 [label="fivep_filtering"];
-p23 [label="plot_read_length_fivep_filtering"];
-p19 -> p23 [label="length_fastq_5p_filter_ch"];
-
-p19 [label="fivep_filtering"];
-p20 [label="plot_fivep_filtering_stat"];
-p19 -> p20 [label="stat_fastq_5p_filter_ch1"];
-
-p19 [label="fivep_filtering"];
-p34 [label="print_report"];
-p19 -> p34 [label="stat_fastq_5p_filter_ch2"];
-
-p19 [label="fivep_filtering"];
-p20 [label="plot_fivep_filtering_stat"];
-p19 -> p20 [label="log_ch4"];
-
-p20 [label="plot_fivep_filtering_stat"];
-p34 [label="print_report"];
-p20 -> p34 [label="fig_ch1"];
-
-p20 [label="plot_fivep_filtering_stat"];
-p22 [label="plot_read_length_ini"];
-p20 -> p22 [label="log_ch5"];
-
-p20 [label="plot_fivep_filtering_stat"];
-p21 [shape=point];
-p20 -> p21 [label="sq_ch"];
-
-p22 [label="plot_read_length_ini"];
-p34 [label="print_report"];
-p22 -> p34 [label="fig_ch2"];
-
-p22 [label="plot_read_length_ini"];
-p23 [label="plot_read_length_fivep_filtering"];
-p22 -> p23 [label="log_ch6"];
-
-p23 [label="plot_read_length_fivep_filtering"];
-p34 [label="print_report"];
-p23 -> p34 [label="fig_ch3"];
-
-p23 [label="plot_read_length_fivep_filtering"];
-p24 [label="cutoff"];
-p23 -> p24 [label="log_ch7"];
-
-p24 [label="cutoff"];
-p27 [label="bowtie2"];
-p24 -> p27 [label="cutoff_ch"];
-
-p24 [label="cutoff"];
-p25 [label="plot_read_length_cutoff"];
-p24 -> p25 [label="length_cutoff_ch"];
-
-p24 [label="cutoff"];
-p25 [label="plot_read_length_cutoff"];
-p24 -> p25 [label="log_ch8"];
-
-p25 [label="plot_read_length_cutoff"];
-p34 [label="print_report"];
-p25 -> p34 [label="fig_ch4"];
-
-p25 [label="plot_read_length_cutoff"];
-p26 [label="fastqc2"];
-p25 -> p26 [label="log_ch9"];
-
-p26 [label="fastqc2"];
-p27 [label="bowtie2"];
-p26 -> p27 [label="log_ch10"];
-
-p27 [label="bowtie2"];
-p28 [label="Q20"];
-p27 -> p28 [label="bowtie2_ch"];
-
-p27 [label="bowtie2"];
-p28 [label="Q20"];
-p27 -> p28 [label="log_ch11"];
-
-p28 [label="Q20"];
-p29 [label="no_soft_clipping"];
-p28 -> p29 [label="q20_ch"];
-
-p28 [label="Q20"];
-p29 [label="no_soft_clipping"];
-p28 -> p29 [label="log_ch12"];
-
-p29 [label="no_soft_clipping"];
-p32 [label="backup"];
-p29 -> p32 [label="log_ch13"];
-
-p30 [shape=point,label="",fixedsize=true,width=0.1];
-p32 [label="backup"];
-p30 -> p32 [label="config_file"];
-
-p31 [shape=point,label="",fixedsize=true,width=0.1];
-p32 [label="backup"];
-p31 -> p32 [label="log_file"];
-
-p32 [label="backup"];
-p33 [label="workflowVersion"];
-p32 -> p33 [label="log_ch14"];
-
-p33 [label="workflowVersion"];
-p34 [label="print_report"];
-p33 -> p34 [label="log_ch15"];
-
-}
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_trace.txt b/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_trace.txt
deleted file mode 100644
index 7e4c63b44e4ab09185228ac531207e16fcc8d2e4..0000000000000000000000000000000000000000
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_trace.txt
+++ /dev/null
@@ -1,18 +0,0 @@
-task_id hash native_id name status exit submit duration realtime %cpu peak_rss peak_vmem rchar wchar
-1 69/c57218 7359 init COMPLETED 0 2022-01-08 17:40:57.299 809ms 7ms 5.3% 0 0 74.8 KB 658 B
-2 e2/c4df44 7483 Nremove (1) COMPLETED 0 2022-01-08 17:40:58.166 1.1s 321ms 65.7% 10.3 MB 65.7 MB 16.7 MB 14.5 MB
-3 c6/eb519b 7732 trim (1) COMPLETED 0 2022-01-08 17:40:59.311 2.5s 1.8s 50.3% 45.8 MB 5.6 GB 16.3 MB 12 MB
-4 02/282cf3 8095 fastqc1 (1) COMPLETED 0 2022-01-08 17:41:01.879 5.2s 4.5s 69.5% 160.2 MB 3.1 GB 13.7 MB 1.2 MB
-5 2e/5d31b8 8622 fivep_filtering (1) COMPLETED 0 2022-01-08 17:41:07.128 2.4s 1.5s 25.4% 8.3 MB 56.7 MB 25.9 MB 14.3 MB
-6 cf/eaa9f1 8910 plot_fivep_filtering_stat (1) COMPLETED 0 2022-01-08 17:41:09.569 12.8s 12.2s 68.9% 206.1 MB 2.4 GB 19.1 MB 815.4 KB
-7 d2/c45971 9632 plot_read_length_ini (1) COMPLETED 0 2022-01-08 17:41:22.425 13s 12.4s 64.5% 202.7 MB 2.4 GB 19.1 MB 386.9 KB
-8 b5/8dda05 10359 plot_read_length_fivep_filtering (1) COMPLETED 0 2022-01-08 17:41:35.460 12.3s 11.7s 68.5% 204.4 MB 2.4 GB 19.1 MB 383 KB
-9 58/0590b3 11082 cutoff (1) COMPLETED 0 2022-01-08 17:41:47.870 1.3s 482ms 19.6% 6.2 MB 56.5 MB 6.9 MB 3.9 MB
-10 aa/375bb7 11276 plot_read_length_cutoff (1) COMPLETED 0 2022-01-08 17:41:49.205 12.6s 11.9s 67.6% 206.2 MB 2.4 GB 19.1 MB 375.7 KB
-11 f3/980878 12000 fastqc2 (1) COMPLETED 0 2022-01-08 17:42:01.849 5.2s 4.4s 67.8% 149.1 MB 3.1 GB 12 MB 1.2 MB
-12 7e/13c07f 12530 bowtie2 (1) COMPLETED 0 2022-01-08 17:42:07.111 1.9s 1.1s 35.6% 6.7 MB 37.5 MB 16.4 MB 1.9 MB
-13 37/73382f 12723 Q20 (1) COMPLETED 0 2022-01-08 17:42:09.066 982ms 213ms 22.9% 5.9 MB 41.5 MB 647 KB 224.2 KB
-14 37/72d797 12882 no_soft_clipping (1) COMPLETED 0 2022-01-08 17:42:10.082 875ms 179ms 22.4% 2.7 MB 17.6 MB 2 MB 1.5 MB
-15 66/97a842 13148 backup (1) COMPLETED 0 2022-01-08 17:42:10.997 830ms 11ms 10.7% 0 0 75 KB 484 B
-16 f9/c26a1f 13279 workflowVersion (1) COMPLETED 0 2022-01-08 17:42:11.882 1.1s 385ms 16.3% 4.4 MB 35.2 MB 107.3 KB 5 KB
-17 37/656e13 13486 print_report (1) COMPLETED 0 2022-01-08 17:42:13.094 9.3s 8.6s 54.0% 212.1 MB 1 TB 19.3 MB 2.8 MB
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/report.rmd b/example_of_result/20211201_res_CL14985_test_1641660055/reports/report.rmd
deleted file mode 100644
index a28750d7b7f376f6efc4cb33fa7a92ec849d406f..0000000000000000000000000000000000000000
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/report.rmd
+++ /dev/null
@@ -1,217 +0,0 @@
----
-title: 'Insertion Sites Report'
-author: 'Gael Millot'
-date: ''
-output:
- html_document:
- toc: TRUE
- toc_float: TRUE
----
-
-<br /><br />
-
-<br /><br />
-
-### Removal for reads made of N only
-
-
-
-
-Number of sequences before removing reads with only N: 10000
-
-Number of sequences after removing reads with only N: 8932
-
-Ratio:
-0.89
-
-
-
-<br /><br />
-
-### Trim of the read for the primer parts
-
-
-AlienTrimmer main options: -k 10 -l 30 -m 5 -q 20 -p 0 (Phred+33) / 26 alien sequence(s) / 810 k-mers (k=10)
-<br />[00:00] 8,932 reads processed: 4,767 trimmed 223 removed
-<br /><br />AlienTrimmer also removes reads according to quality criteria
-
-Number of sequence before trimming: 8932
-
-Number of sequences after trimming: 8709
-
-Ratio:
-0.98
-
-
-
-<br /><br />
-
-### Read QC n°1
-
-
-Results are published in the [fastQC1](./fastQC1) folder
-
-
-Analysis complete for test.fastq2_Nremove_trim.fq
-<br /><br />
-
-### Selection of reads with the attC in 5'
-
-
-
-
-
-Number of sequences before 5' filtering using ^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$: 8709
-
-Number of sequences after 5' filtering: 4391
-
-Ratio:
-0.50
-
-
-
-Length of the expected attC sequence at the 5' part of reads: 48
-
-
-Number of bases added after the expected attC sequence at the 5' part of reads, for graphical purpose: 3
-
-
-
-
-
-Nucleotide frequencies of the 5' part of reads:<br /><br />
-
-```{r, echo = FALSE}
-tempo <- read.table('./files/test.fastq2_Nremove_trim_5pAttc_1-51.stat', header = TRUE, row.names = 1, colClasses = 'character', sep = '\t', check.names = FALSE) ;
-kableExtra::kable_styling(knitr::kable(head(tempo), row.names = TRUE, digits = 2, caption = 'Frequencies of bases according to positions starting at the 5\' of reads', format='html'), c('striped', 'bordered', 'responsive'), font_size=12)
-```
-<br /><br />
-
-
-<br /><br />
-
-### Base frequencies at the 5' extremity of reads
-
-
-<center>
-{width=600}
-</center>
-
-
-<br /><br />
-
-### Length of initial reads
-
-
-<center>
-{width=600}
-</center>
-
-
-<br /><br />
-
-### Length of reads after selection of attC in 5 prime
-
-
-<center>
-{width=600}
-</center>
-
-<br /><br />
-
-### Selection of reads over 25 bases
-
-
-
-
-Number of sequences before cutoff at 25 nucleotids: 4391
-
-Number of sequences after cutoff at 25 nucleotids: 3742
-
-Ratio:
-0.85
-
-
-
-
-<br /><br />
-
-### Read length after cut-off
-
-
-<center>
-{width=600}
-</center>
-
-<br /><br />
-
-### Read QC n°2
-
-
-Results are published in the [fastQC2](./fastQC2) folder
-
-
-Analysis complete for test.fastq2_Nremove_trim_5pAtccRm.fq
-<br /><br />
-
-### Bowtie2 alignment
-
-
-Time loading reference: 00:00:00
-<br />Time loading forward index: 00:00:00
-<br />Time loading mirror index: 00:00:00
-<br />Multiseed full-index search: 00:00:00
-<br />3742 reads; of these:
-<br /> 3742 (100.00%) were unpaired; of these:
-<br /> 1240 (33.14%) aligned 0 times
-<br /> 2308 (61.68%) aligned exactly 1 time
-<br /> 194 (5.18%) aligned >1 times
-<br />66.86% overall alignment rate
-<br />Time searching: 00:00:00
-<br />Overall time: 00:00:00
-<br /><br />
-
-### Q20 filtering
-
-
-<br /><br />
-
-### Control that no more soft clipping in reads
-
-
-nb of reads with soft clipping (S) in CIGAR: 0
-
-
-total nb of reads: 2182
-<br /><br />
-
-### Backup
-
-
-See the reports folder for all the details of the analysis, including the parameters used in the .config file
-<br /><br />Full .nextflow.log is in: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />The one in the result folder is not complete (miss the end)
-<br /><br />
-
-### Workflow Version
-
-
-Project (empty means no .git folder where the main.nf file is present): loot https://gitlab.pasteur.fr/gmillot/14985_loot (fetch)
-<br />Git info (empty means no .git folder where the main.nf file is present): v6.1.0-1-g2cb29cbe9c-dirty
-<br />Cmd line: nextflow run main.nf -c dev/test.config
-<br />execution mode: local
-<br />Manifest's pipeline version: null
-<br />result path: /mnt/c/Users/Gael/Desktop/20211201_res_CL14985_test_1641660055
-<br />nextflow version: 21.04.2
-<br /><br />
-
-IMPLICIT VARIABLES:
-
-launchDir (directory where the workflow is run): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />
-projectDir (directory where the main.nf script is located): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />
-workDir (directory where tasks temporary files are created): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/work
-<br /><br />
-
-USER VARIABLES:<br />
-
-out_path: /mnt/c/Users/Gael/Desktop/20211201_res_CL14985_test_1641660055<br />
-in_path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/dataset
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/fastQC1/test.fastq2_trim_fastqc.html b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/fastQC1/test.fastq2_trim_fastqc.html
new file mode 100644
index 0000000000000000000000000000000000000000..bd246361eea8b65311735887982ca97538b3e811
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/fastQC1/test.fastq2_trim_fastqc.html
@@ -0,0 +1,187 @@
+<html><head><title>test.fastq2_trim.fq FastQC Report</title><style type="text/css">
+ @media screen {
+ div.summary {
+ width: 18em;
+ position:fixed;
+ top: 3em;
+ margin:1em 0 0 1em;
+ }
+
+ div.main {
+ display:block;
+ position:absolute;
+ overflow:auto;
+ height:auto;
+ width:auto;
+ top:4.5em;
+ bottom:2.3em;
+ left:18em;
+ right:0;
+ border-left: 1px solid #CCC;
+ padding:0 0 0 1em;
+ background-color: white;
+ z-index:1;
+ }
+
+ div.header {
+ background-color: #EEE;
+ border:0;
+ margin:0;
+ padding: 0.5em;
+ font-size: 200%;
+ font-weight: bold;
+ position:fixed;
+ width:100%;
+ top:0;
+ left:0;
+ z-index:2;
+ }
+
+ div.footer {
+ background-color: #EEE;
+ border:0;
+ margin:0;
+ padding:0.5em;
+ height: 1.3em;
+ overflow:hidden;
+ font-size: 100%;
+ font-weight: bold;
+ position:fixed;
+ bottom:0;
+ width:100%;
+ z-index:2;
+ }
+
+ img.indented {
+ margin-left: 3em;
+ }
+ }
+
+ @media print {
+ img {
+ max-width:100% !important;
+ page-break-inside: avoid;
+ }
+ h2, h3 {
+ page-break-after: avoid;
+ }
+ div.header {
+ background-color: #FFF;
+ }
+
+ }
+
+ body {
+ font-family: sans-serif;
+ color: #000;
+ background-color: #FFF;
+ border: 0;
+ margin: 0;
+ padding: 0;
+ }
+
+ div.header {
+ border:0;
+ margin:0;
+ padding: 0.5em;
+ font-size: 200%;
+ font-weight: bold;
+ width:100%;
+ }
+
+ #header_title {
+ display:inline-block;
+ float:left;
+ clear:left;
+ }
+ #header_filename {
+ display:inline-block;
+ float:right;
+ clear:right;
+ font-size: 50%;
+ margin-right:2em;
+ text-align: right;
+ }
+
+ div.header h3 {
+ font-size: 50%;
+ margin-bottom: 0;
+ }
+
+ div.summary ul {
+ padding-left:0;
+ list-style-type:none;
+ }
+
+ div.summary ul li img {
+ margin-bottom:-0.5em;
+ margin-top:0.5em;
+ }
+
+ div.main {
+ background-color: white;
+ }
+
+ div.module {
+ padding-bottom:1.5em;
+ padding-top:1.5em;
+ }
+
+ div.footer {
+ background-color: #EEE;
+ border:0;
+ margin:0;
+ padding: 0.5em;
+ font-size: 100%;
+ font-weight: bold;
+ width:100%;
+ }
+
+
+ a {
+ color: #000080;
+ }
+
+ a:hover {
+ color: #800000;
+ }
+
+ h2 {
+ color: #800000;
+ padding-bottom: 0;
+ margin-bottom: 0;
+ clear:left;
+ }
+
+ table {
+ margin-left: 3em;
+ text-align: center;
+ }
+
+ th {
+ text-align: center;
+ background-color: #000080;
+ color: #FFF;
+ padding: 0.4em;
+ }
+
+ td {
+ font-family: monospace;
+ text-align: left;
+ background-color: #EEE;
+ color: #000;
+ padding: 0.4em;
+ }
+
+ img {
+ padding-top: 0;
+ margin-top: 0;
+ border-top: 0;
+ }
+
+
+ p {
+ padding-top: 0;
+ margin-top: 0;
+ }
+</style></head><body><div class="header"><div id="header_title"><img src="data:image/png;base64,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" alt="FastQC"/>FastQC Report</div><div id="header_filename">Sun 30 Jan 2022<br/>test.fastq2_trim.fq</div></div><div class="summary"><h2>Summary</h2><ul><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M0">Basic Statistics</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M1">Per base sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M2">Per tile sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M3">Per sequence quality scores</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M4">Per base sequence content</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M5">Per sequence GC content</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M6">Per base N content</a></li><li><img src="data:image/png;base64,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" alt="[WARNING]"/><a href="#M7">Sequence Length Distribution</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M8">Sequence Duplication Levels</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M9">Overrepresented sequences</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M10">Adapter Content</a></li></ul></div><div class="main"><div class="module"><h2 id="M0"><img src="data:image/png;base64,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" alt="[OK]"/>Basic Statistics</h2><table><thead><tr><th>Measure</th><th>Value</th></tr></thead><tbody><tr><td>Filename</td><td>test.fastq2_trim.fq</td></tr><tr><td>File type</td><td>Conventional base calls</td></tr><tr><td>Encoding</td><td>Sanger / Illumina 1.9</td></tr><tr><td>Total Sequences</td><td>8709</td></tr><tr><td>Sequences flagged as poor quality</td><td>0</td></tr><tr><td>Sequence length</td><td>30-175</td></tr><tr><td>%GC</td><td>54</td></tr></tbody></table></div><div class="module"><h2 id="M1"><img src="data:image/png;base64,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" alt="[OK]"/>Per base sequence quality</h2><p><img class="indented" 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" alt="Per base quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M2"><img src="data:image/png;base64,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" alt="[OK]"/>Per tile sequence quality</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per base quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M3"><img src="data:image/png;base64,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" alt="[OK]"/>Per sequence quality scores</h2><p><img class="indented" 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" alt="Per Sequence quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M4"><img src="data:image/png;base64,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" alt="[FAIL]"/>Per base sequence content</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per base sequence content" width="800" height="600"/></p></div><div class="module"><h2 id="M5"><img src="data:image/png;base64,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" alt="[OK]"/>Per sequence GC content</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per sequence GC content graph" width="800" height="600"/></p></div><div class="module"><h2 id="M6"><img src="data:image/png;base64,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" alt="[OK]"/>Per base N content</h2><p><img class="indented" 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" alt="N content graph" width="800" height="600"/></p></div><div class="module"><h2 id="M7"><img src="data:image/png;base64,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" alt="[WARN]"/>Sequence Length Distribution</h2><p><img class="indented" src="data:image/png;base64,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" alt="Sequence length distribution" width="800" height="600"/></p></div><div class="module"><h2 id="M8"><img src="data:image/png;base64,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" alt="[FAIL]"/>Sequence Duplication Levels</h2><p><img class="indented" src="data:image/png;base64,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" alt="Duplication level graph" width="800" height="600"/></p></div><div class="module"><h2 id="M9"><img src="data:image/png;base64,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" alt="[FAIL]"/>Overrepresented sequences</h2><table><thead><tr><th>Sequence</th><th>Count</th><th>Percentage</th><th>Possible Source</th></tr></thead><tbody><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>2628</td><td>30.17568033069239</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGAT</td><td>1004</td><td>11.528304053278218</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG</td><td>139</td><td>1.59605006315306</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGGT</td><td>110</td><td>1.2630612010563786</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGCT</td><td>76</td><td>0.872660466184407</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTA</td><td>74</td><td>0.8496957170742909</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAGTTCAAGCGTT</td><td>74</td><td>0.8496957170742909</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGG</td><td>72</td><td>0.826730967964175</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTA</td><td>54</td><td>0.6200482259731313</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAGTTCAAGCGAT</td><td>38</td><td>0.4363302330922035</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGACGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>36</td><td>0.4133654839820875</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCG</td><td>35</td><td>0.40188310942702954</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGG</td><td>28</td><td>0.3215064875416236</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTAT</td><td>26</td><td>0.29854173843150766</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGTCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>22</td><td>0.25261224021127565</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTGATTCAAGCGTT</td><td>21</td><td>0.24112986565621772</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGATC</td><td>18</td><td>0.20668274199104375</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAGGCGTT</td><td>16</td><td>0.18371799288092777</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAG</td><td>15</td><td>0.17223561832586978</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTG</td><td>14</td><td>0.1607532437708118</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGGGCGGCTTAATTCAAGCGTT</td><td>14</td><td>0.1607532437708118</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGGTTAATTCAAGCGTT</td><td>14</td><td>0.1607532437708118</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTG</td><td>13</td><td>0.14927086921575383</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGC</td><td>13</td><td>0.14927086921575383</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGG</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTGAAGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTTAG</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTA</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGGGGCGCGGCTTAATTCAAGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGGCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCACGCGTT</td><td>12</td><td>0.13778849466069584</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCGTAATTCAAGCGTT</td><td>11</td><td>0.12630612010563783</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGACGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGAT</td><td>11</td><td>0.12630612010563783</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGATA</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGC</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGGGGCTTAATTCAAGCGTT</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTGAATTCAAGCGTT</td><td>10</td><td>0.11482374555057985</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCTGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGTT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>AATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGATA</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCGAG</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCGAGCGTT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGGGGCTTAATTCAAGCGAT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr><tr><td>CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTGATTCAAGCGAT</td><td>9</td><td>0.10334137099552188</td><td>No Hit</td></tr></tbody></table></div><div class="module"><h2 id="M10"><img src="data:image/png;base64,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" alt="[OK]"/>Adapter Content</h2><p><img class="indented" 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similarity index 54%
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src="data:image/png;base64,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" alt="FastQC"/>FastQC Report</div><div id="header_filename">Sun 30 Jan 2022<br/>test.fastq2_5pAtccRm.fq</div></div><div class="summary"><h2>Summary</h2><ul><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M0">Basic Statistics</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M1">Per base sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M2">Per tile sequence quality</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M3">Per sequence quality scores</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M4">Per base sequence content</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M5">Per sequence GC content</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M6">Per base N content</a></li><li><img src="data:image/png;base64,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" alt="[WARNING]"/><a href="#M7">Sequence Length Distribution</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M8">Sequence Duplication Levels</a></li><li><img src="data:image/png;base64,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" alt="[FAIL]"/><a href="#M9">Overrepresented sequences</a></li><li><img src="data:image/png;base64,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" alt="[PASS]"/><a href="#M10">Adapter Content</a></li></ul></div><div class="main"><div class="module"><h2 id="M0"><img src="data:image/png;base64,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" alt="[OK]"/>Basic Statistics</h2><table><thead><tr><th>Measure</th><th>Value</th></tr></thead><tbody><tr><td>Filename</td><td>test.fastq2_5pAtccRm.fq</td></tr><tr><td>File type</td><td>Conventional base calls</td></tr><tr><td>Encoding</td><td>Sanger / Illumina 1.9</td></tr><tr><td>Total Sequences</td><td>4391</td></tr><tr><td>Sequences flagged as poor quality</td><td>0</td></tr><tr><td>Sequence length</td><td>1-127</td></tr><tr><td>%GC</td><td>52</td></tr></tbody></table></div><div class="module"><h2 id="M1"><img src="data:image/png;base64,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" alt="[OK]"/>Per base sequence quality</h2><p><img class="indented" 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" alt="Per base quality graph" width="1020" height="600"/></p></div><div class="module"><h2 id="M2"><img src="data:image/png;base64,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" alt="[OK]"/>Per tile sequence quality</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per base quality graph" width="1020" height="600"/></p></div><div class="module"><h2 id="M3"><img src="data:image/png;base64,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" alt="[OK]"/>Per sequence quality scores</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per Sequence quality graph" width="800" height="600"/></p></div><div class="module"><h2 id="M4"><img src="data:image/png;base64,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" alt="[FAIL]"/>Per base sequence content</h2><p><img class="indented" 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" alt="Per base sequence content" width="1020" height="600"/></p></div><div class="module"><h2 id="M5"><img src="data:image/png;base64,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" alt="[FAIL]"/>Per sequence GC content</h2><p><img class="indented" src="data:image/png;base64,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" alt="Per sequence GC content graph" width="800" height="600"/></p></div><div class="module"><h2 id="M6"><img src="data:image/png;base64,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" alt="[OK]"/>Per base N content</h2><p><img class="indented" 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" alt="N content graph" width="1020" height="600"/></p></div><div class="module"><h2 id="M7"><img src="data:image/png;base64,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" alt="[WARN]"/>Sequence Length Distribution</h2><p><img class="indented" src="data:image/png;base64,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" alt="Sequence length distribution" width="800" height="600"/></p></div><div class="module"><h2 id="M8"><img src="data:image/png;base64,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" alt="[OK]"/>Sequence Duplication Levels</h2><p><img class="indented" src="data:image/png;base64,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" alt="Duplication level graph" width="800" height="600"/></p></div><div class="module"><h2 id="M9"><img src="data:image/png;base64,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" alt="[FAIL]"/>Overrepresented sequences</h2><table><thead><tr><th>Sequence</th><th>Count</th><th>Percentage</th><th>Possible Source</th></tr></thead><tbody><tr><td>TTAGACGGATCCACTAGTTCTAGAGCGGCCGCCACCGCGGTGGAGCTCCA</td><td>146</td><td>3.3249829196082894</td><td>No Hit</td></tr><tr><td>TT</td><td>92</td><td>2.0951947164654974</td><td>No Hit</td></tr><tr><td>TTATACAGCAAGCGCGCACCGACTCTGACAATCGGCATATCCGGTTCGCC</td><td>86</td><td>1.958551582782965</td><td>No Hit</td></tr><tr><td>TTAAAACCTCTTCAAATTTGCCGTGCAAATTTGGTAGGCCTGAGTGGACT</td><td>83</td><td>1.890230015941699</td><td>No Hit</td></tr><tr><td>TTA</td><td>74</td><td>1.6852653154179003</td><td>No Hit</td></tr><tr><td>TTGGCGAAGTAATCGCAACATCCGCATTAAAATCTAGCGAGGGCTTTACT</td><td>50</td><td>1.1386927806877705</td><td>No Hit</td></tr><tr><td>TTTACCAGCATTAAGGAACAGCTGCTTACGGTCGGCGTGGGTTGCCAGCA</td><td>32</td><td>0.7287633796401731</td><td>No Hit</td></tr><tr><td>ATCACAGGCGTAAACGTCGCCGTTGTGCTCAACAATCACCGAGCGCCCAC</td><td>30</td><td>0.6832156684126622</td><td>No Hit</td></tr><tr><td>TTAT</td><td>26</td><td>0.5921202459576406</td><td>No Hit</td></tr><tr><td>AT</td><td>23</td><td>0.5237986791163743</td><td>No Hit</td></tr><tr><td>GTACGATGTCACTGTGCACGACGATGGTCACTTCCAAGGCGCGGAGTGCC</td><td>19</td><td>0.43270325666135273</td><td>No Hit</td></tr><tr><td>ATCATCGTACGCAAGTGACCAACGCTGTCGATGGTGTCTTTGATGCCAAC</td><td>17</td><td>0.38715554543384195</td><td>No Hit</td></tr><tr><td>TTATCCAGCGCGAGCACTCGCTCTATCACCATTTCACGAGTTTCAAGGTT</td><td>16</td><td>0.36438168982008656</td><td>No Hit</td></tr><tr><td>ATGAGGAGCGAAGGCATGAAACCATATCAGCGCCAGTTTATTGAATTTGC</td><td>16</td><td>0.36438168982008656</td><td>No Hit</td></tr><tr><td>ATATAGAGCATTTTTGCCTCCTTTCGCGCCACAAGAAATTAACTGTAGCG</td><td>15</td><td>0.3416078342063311</td><td>No Hit</td></tr><tr><td>TTAGGCGACAACGTGATGGTTGCGCCGGTGTTCACTGAAGCGGGCGATGT</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTG</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTATCAATACTGCCTTCAATCAGTACATTGGTGGCAGGAACATCATTGAG</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTATCCGAAGCGATGAGAGTTATCCCGTAACCGGGTCAGCCACTGCATAG</td><td>14</td><td>0.31883397859257573</td><td>No Hit</td></tr><tr><td>TTACGCATAGTCATTTCTCCTTCTAAGAAGCGAGTAAGTACCTGCAAATC</td><td>13</td><td>0.2960601229788203</td><td>No Hit</td></tr><tr><td>TTACGCATAATCAATAGCTCCTGAAATCAGCGAGAATGTAAGACCTTCCA</td><td>12</td><td>0.2732862673650649</td><td>No Hit</td></tr><tr><td>TTAG</td><td>12</td><td>0.2732862673650649</td><td>No Hit</td></tr><tr><td>TTATCCGGCCAGGCGGGAACTGCAGTTCGGAGAGTGGCAGCGCAAAGACA</td><td>10</td><td>0.2277385561375541</td><td>No Hit</td></tr><tr><td>TTAACCTTCACCAGCGTGCGACCCTGGATCTGGTTATTAATGATGGCCTC</td><td>10</td><td>0.2277385561375541</td><td>No Hit</td></tr><tr><td>ATA</td><td>10</td><td>0.2277385561375541</td><td>No Hit</td></tr><tr><td>TTATCCAGATAGTTCGCCAGCTCTTCATTATTGAGTTTTTTCTTAAGCAC</td><td>9</td><td>0.20496470052379867</td><td>No Hit</td></tr><tr><td>TTAATTGGCATCAACACTGCAATCCTTGCGCCTGGCGGCGGGAGCGTCGG</td><td>9</td><td>0.20496470052379867</td><td>No Hit</td></tr><tr><td>TTATCCGGCGTGTAGGCATCGTCATGACGTAAACGGCGATCGGCGGTATA</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>ATCTACCGCGAAGGTTTTACCGGACTGGATCTGGCTTCGTCTGCCGCACA</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>TTAGGGATTAGCGTCTTAAGCTGGCGCGAGGACCAACGTATCAGCCAGGC</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>TTAA</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>ATC</td><td>8</td><td>0.18219084491004328</td><td>No Hit</td></tr><tr><td>T</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTT</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTATGGCTACTGGCGGTGCGGGTCGCGTTTATCGTTACAACACCAACGGC</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTATCCGGCGTTGCAACCTGTGAGCTGTAGATCATATCGGTGATAGCCTG</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>ATG</td><td>7</td><td>0.15941698929628786</td><td>No Hit</td></tr><tr><td>TTAAA</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTC</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTAGCATGACTCACGCCGGGCGTCCAGTTTTTAGCGACGGGGCACCCGAA</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTAGTGCGCTGGTTAGCGTGCGGGATAACGCCTGTCAGGATTATCTCGCG</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTATCCATCAGGGAGTTACTGTAAGCGAGAATATATTTATCACTCAATGC</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>ATAACCAGCATCAGCATTGGCGCGTAGAGAAAGGTAAAGCCCAGCAGCAA</td><td>6</td><td>0.13664313368253245</td><td>No Hit</td></tr><tr><td>TTATGCACCGCATCGTGAGCATCTTTCCCCCAGGCGAACGGCCCGTGCTG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTATA</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>GT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTAAGCTGCACCACACCGATACCGAGCGTAGTGGCAATACCGAAGATAGT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTAAATACCGTCGGCGCGTTAATCGGCCCAACTGCGCCACCAACACCAAT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>ATCA</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTGATCGTCAAAACCAACATTGCGACCGACGGTGGCGATAGGCATCCGGG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTATATACCAGGCTTAGCTGGGGTTGCCCCTTAATCTCTGGAGAATAACG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>TTGAGTTTCAGCAGCCGCGGTTCCGCCAGCACTTTACTGAAACTGCCTTT</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr><tr><td>ATCTACCGCGAGGTTAAGCTGCTGTTCAATCTGGGCGACGCTCAGTTCGG</td><td>5</td><td>0.11386927806877704</td><td>No Hit</td></tr></tbody></table></div><div class="module"><h2 id="M10"><img src="data:image/png;base64,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" alt="[OK]"/>Adapter Content</h2><p><img class="indented" 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alt="Adapter graph" width="945" height="600"/></p></div></div><div class="footer">Produced by <a href="http://www.bioinformatics.babraham.ac.uk/projects/fastqc/">FastQC</a> (version 0.11.8)</div></body></html>
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diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/figures/plot_read_length_ini.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_read_length_ini.png
similarity index 100%
rename from example_of_result/20211201_res_CL14985_test_1641660055/figures/plot_read_length_ini.png
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_read_length_ini.png
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_bowtie2_mini.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_bowtie2_mini.png
new file mode 100644
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Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_bowtie2_mini.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_forward.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_forward.png
new file mode 100644
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Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_forward.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_reverse.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_reverse.png
new file mode 100644
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Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_reverse.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_tot.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_tot.png
new file mode 100644
index 0000000000000000000000000000000000000000..8348c22dea41a2c73b504579d287ace9c35cd793
Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_tot.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_tot_zoom.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_tot_zoom.png
new file mode 100644
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Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_hist_tot_zoom.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_raw.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_raw.png
new file mode 100644
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Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_insertion_raw.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_q20_mini.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_q20_mini.png
new file mode 100644
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Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_q20_mini.png differ
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_q20_nodup_mini.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_q20_nodup_mini.png
new file mode 100644
index 0000000000000000000000000000000000000000..78cb60b3202d06a69d3b8408dd71a9c103c7ddaa
Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/figures/plot_test.fastq2_q20_nodup_mini.png differ
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/files/test.fastq2_Nremove_trim_5pAttc.length b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_5pAttc.length
similarity index 100%
rename from example_of_result/20211201_res_CL14985_test_1641660055/files/test.fastq2_Nremove_trim_5pAttc.length
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_5pAttc.length
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/files/test.fastq2_Nremove_trim_5pAttc_1-51.stat b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_5pAttc_1-51.stat
similarity index 100%
rename from example_of_result/20211201_res_CL14985_test_1641660055/files/test.fastq2_Nremove_trim_5pAttc_1-51.stat
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_5pAttc_1-51.stat
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_0.seq b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_0.seq
new file mode 100644
index 0000000000000000000000000000000000000000..499839bceb8a60e470eb3e9fac744e6a4aa13a6a
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_0.seq
@@ -0,0 +1,442 @@
+TAATGCTTTTGAAATAGTCGATATCAAGCAGCATGACAGT
+TAGCTTTGTTAAATACACAGTTAAGCGAGTTTGCCCCAAC
+CTTATTGACATCATGTATAGTTATAGGGCGACATAATATC
+GCTACGCCAGTAACACATTGATCAATCAACATGGCGACAT
+CCCTGCCACAGAACGCGAAGTTAAAAATCAAACGTCCGGT
+CCCTGCCACAGAACGCGAAGTTAAAAATCAAACGTCCGGT
+GATTATCTTCGATATAAGTGTTATAGACACCGCGCGCCAG
+CGTTTTTGTTTAATTAGCTGTTAGCAACGCAAACTGTTTC
+TCGACATCATCAAAATGGCGATAAAAATCAACGATCATCT
+AGTCACGGTTGAACATACAGTTAACAATGGAACCGACCTG
+GCGGCTGGTTAATGAAGAAGTTAAAGGTTTTCGGCGCGCG
+CCTCAACCATAAACGGCGCGTTACGCAGCGCAGAGTCAAA
+GGCAACGTTGATAAACCGTGTTATAAATTCGCCCGATTGT
+GTAGTGCCATCAGCAAGCAGTTGTTCGCCGAGTAAAATGC
+GAACAACTGATAACATCACGGTGCGTCTGAAAGGTTTACT
+CACCCTGCGTAAATTTAGCGTTGTCAGTCAACTGCCATGC
+GTATATTCGTGAGCGCGTTGTTGACCAGCTGGCGCATATT
+GTTGGCTGTTAAACAGATAGGTAGACACCGTATCAGACAC
+CACCGACGCTTAGAACCGAGATAGCCGCCGTTGCATTGGC
+TTTTACCTGATAAAATGAAGTTAAAGGACTGCGTCATGAT
+TGAGCGCCATCATCCTAACGATAAAGGTATCCCTATGAGC
+TAATGACCATAAAGTTGATGATCACGAGAATGACAAACAC
+GCAGCACCATCATCGACAAGATCAACAGGATCAAAATCGG
+GGCAAGGAATCAATAACCAGTTGTATACTTTCTTGCATGA
+TGGACGTTTTAATGACCTCGTTAAACAGCACCAGCAGCTA
+GGAGTACTGGTCGCATGAAGTTGATAAGCTGCAAACGTAT
+AATATGCCATAAATCATATGTTATAGAAACAGCCTGGTTC
+TGCAGTTAATAACAATGGAGTTACAGAACTTTTTGCCTTG
+TGCAGTTAATAACAATGGAGTTACAGAACTTTTTGCCTTG
+AAATGGTTATTAATGAGGAGTTCGATACAAAAGAATAAAA
+CACCGCGGTGAAATCACAAGATATGGTGAAAGGCTGGTTT
+CGGTAAGCATGAATATCAAGATCATCAACTTTTAAGCTTT
+CGGTAAGCATGAATATCAAGATCATCAACTTTTAAGCTTT
+CGGTAAGCATGAATATCAAGATCATCAACTTTTAAGCTTT
+TTTCTGTATTAAGGCGAGAGTTATGTGGACGACGAGCTGG
+TTGGCGCACCAAACTGATCGTTAATAACCGCTAATTCTTC
+TTGATATAACCGAACAGGTGATCAACGTAAGCGTCACGCA
+CGGCACCCTGCAACTGCCAGTTAATTTGTTCAATAGCCGC
+GATTTGCTGGTGAATAGTAGTTATTTCGCGATTAACTGAG
+ATTTTCATTCTAAGGAGTGGTTAAAAGTTGTTGCTAATGA
+AATACGAGCATCATCTGCTGTTAAAAATGGCGGGCGATGG
+TTATCCAGGCAAACGCAACGATGGGCGTACCCCGGCACAA
+CCGTTACGGTGTCGGTGGCGTTATAAACCAGGTAGGCACG
+CGGCGATAGTCACCGCCCAGTTGTACCAGTAGTTCCAGCC
+ATTTGCACGTTGTCCGCGCGTTATGTCATCAGGTTATCAT
+TGGTCACGTTGTTGCGGGTGTTAATTGCCGAACTCCACAT
+TCGGCGTGGATAAAGTAATGATCATCATGACTGATAGCGA
+AAACGCCGGTTAATCGGATGATCATCCACGACCAGAATCA
+CCCGATGCAATAACGGCATGTTATCTGCCTGCTCCGCGTA
+CCCGATGCAATAACGGCATGTTATCTGCCTGCTCCGCGTA
+GCATCGCCTTACAACCAGAGTTAACGCTGAAAAGCATTGC
+GCTGAAGTCTTAACACCGGGCTATAAGTACAATCTGACCG
+GAACCACCGTGACCTGGGAGATCAACATACAACCGTGAGT
+TAAAGGGATTGATCCGCGTGTTATGCAACCGCTGCTTAAT
+TAAAGGGATTGATCCGCGTGTTATGCAACCGCTGCTTAAT
+CGCCACCGGCAATCGAGTCGATAAATCCCGCCAGCATGGC
+GCCGCCGTGGGTAGTAAGCGTTGCGCCGCCCTGTAACGAC
+GGTCGCCCTGCAAGAAGTAGTTAACCATCACCGCAGGTTC
+GCGAGATGTTTGCCAACGCGATCATTTCCGGCTGGCTGAT
+GCATGCGCTCTAACAAAGCGATGATCGGCAGAAATAATCT
+GCATGCGCTCTAACAAAGCGATGATCGGCAGAAATAATCT
+CGCTCCGGGTTAATCAGGAGATCATCTGAAATCCGTCAGT
+TACCTCCCCGTAATATTGCGTTAACAGGCCGCTGACGGCT
+CAGATGGTTCAACCCTTAAGTTAGCGCTTATGGGATAATT
+TAGAGCAGCAAATCACCCTGATCTAACGCCGTGCGAATGG
+CCGCTACGCTTGCGTACCTGATCATTATGCCGCTGGGTGG
+CTTTGCCAGCTAATTTCGCGTTTAATGAATTCGTAGCGCG
+TGCCGACAATCATCGGGAAGATCATGGCGTTCATGTTGGC
+CGGTCGCGTGTCAACAGAAGTTGATGCACGCCTCTCTTTT
+GCTGGACGTTAAATTCGAAGTTGGCCCCCTCTTCGCGGGC
+GTTACGGCTGATCACCGGTGATAGCCTGCAACGTCAGATG
+GCGGTGCTGGTGAGTATGTGTTATCGGGCTATTTATTTAC
+GATACGCTTTTAACTCTTTGATATAACGTGCGATGTTCAG
+CTACATAGCCTAACAGATAGATCATCACTTTTCCGGCAAC
+CTACATAGCCTAACAGATAGATCATCACTTTTCCGGCAAC
+CGACAATGGTGATTTCGGCGTTATCACGTACGCTTGTACT
+ATCTTGAGCATAAAACCGCGTTGCTGGTGCATCTGTTAAA
+TCTTCCCGTCATTTCCGTCGATCTTTCCCGGCTTTCTGCC
+CGTCGCTATCAAACATAAAGTTCGCCAGCGCCTTACAAAG
+CGTCGCTATCAAACATAAAGTTCGCCAGCGCCTTACAAAG
+TGCCAGTGGTAAACATGAAGATATGTACACCGCAATTAAC
+ACACCGCAATTAACGAATTGATCAACAAGCTGGAACGGCA
+ACACCGCAATTAACGAATTGATCAACAAGCTGGAACGGCA
+TAAAGCCATTAACGTGTCTGATCAGGTTCCGGCGAAAACC
+AACAAGGATATATCGATATGATAAAGCACCTGGTAGCACC
+TCGCTTAAGCGAAATCTTAGTTAAGACGCTCTTTGATACG
+ACCGCCTGATAAGCCTGGTGTTAATCGGCAATAACCTGGT
+GCGCGCCTGATAAACATCTGATCAACGTACCCAATCGATC
+TATTGCCATTATCGCCATTGTTATCATCGTCATCATTCTG
+TATTGCCATTATCGCCATTGTTATCATCGTCATCATTCTG
+CTCTTGTATCTAACATTTAGTTGTGAATAGCTACTGTAAA
+ACAATCAATTTAACAACAAGTTACACAACCAATTCAGACT
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+ACCACGCAATAAACATGATGATCATATGATGTAAATAACA
+TGAGCTGTTTGAAGACGGCGATCACAACAAGCCGGACGCC
+GGTGTCGCCGTTTTCACCTGATCATCGACACTGGCAATAC
+CGTGCAGGATATCCAGAATGATGTCAATCAATTAGCTGAC
+TCGATTCGCTTAAAACCGCGTTAACGCAGCAGCAAGGTCT
+GCTTTACACTTATAAGGGTGTTAAGAAGCCCATCAGTCTG
+CAAAGACAGTTTACCGATTGTTATTAGTTATATTCCGGTG
+CCAGCAGCCTGAATATGCTGATCTTCTTCCGCGTGATTCA
+ACGCCCAAGGATAACGTTAGTTAACCCTCCAAGGCTATTA
+ACGCCCAAGGATAACGTTAGTTAACCCTCCAAGGCTATTA
+TGTTCACTTAACTGCATCAGTTCACTGTCAGTCATCACAA
+TAAGGTAATTCAACGGCATGTTATGGGTAGTCATCATAAA
+CAAAGAGATACAGTAAGGTGATCAAATCACCCAGTTGCGG
+TGACGCGGGCGATATCGGTGTTATCCACCAGATGCAGGGC
+TCGACGCCTTACAAAACATGTTTGACGTTGAGCCGGATGT
+AGGTCCGGTTGAGCGCAAAGTTGTGCGTATCGTTACGCCA
+GCCGTGGGTAAACGCACTGGATAAGCCTGTCTCACTCGCC
+CCATGTCCACAATTACATTGTTATGCATTGCGTTAGCTGG
+CCATGTCCACAATTACATTGTTATGCATTGCGTTAGCTGG
+CGTTGCCAGTAATCCAGGCGATATAGAAAAGTGTGTCGCC
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+CCATTACCATATCCGCAGGGTTAAAAGCGGCATAAGTACG
+TTTTCTGGTTAACAGAGAGGCTAGCCACCAGCGGCGCGTC
+AATGCCAATTTATTTCCGTGTTGTACGGCAATATCTGCAC
+TCATGGGCTTTCATCACTTGATCCATATCGATTTCTACAC
+TGTTTTGCTGATCCATATTGATCAGCGCACCACCCGCGGC
+TGGCCATTTCCGAACCGGCGATAGAGAGCGTAGCGCGGTC
+ACCCGCTGGTCAACGAATTGATCATCATGCCAGATATCGA
+GAAGTTCCTTATCCGTACAGTTCAGCAGCCGATCTGCAAA
+TCTCACCGGTAAAGTCAGCGTTATAACGCATGACATGCGG
+TCTCACCGGTAAAGTCAGCGTTATAACGCATGACATGCGG
+CTTCGTCAGTGATCACGTAGTTAATGGTCACTTCTGCCGC
+TTTCGTTCAGAATCATTCTGTTAGCCATCATCCTTCTCCT
+CCGTTATTTGAACTGGACAGTTATGCACCGCCGCTGGTGA
+TGCTGGCGTTCATCATAGCGATATGGTGACGCTGCTGGCG
+ACCGTTGACGCAATGGGAAGATAAATATCGCCAGTTGATC
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+AATAACCGGTAAACTGCACGTTACCATAGTTGTCGGCACC
+CGTCGCTGTCATTTAATCAGTTATCAGGAAGATGGCGCGC
+ATATCCAGCACATTCGCCAGTTCATCGAAGTATTGTTTAT
+GCGCCATGGTTAATTCAGCGTTCACCGCATTACGCTCACG
+ATCAGGTAGTAACAACGTCGATCATGATCGGCCAGGTAGA
+TACAGTCTGTTAAACCGCAGTTTTGAAGTAGGTCTGGCAG
+AACGCCGGTTAAAACCGGCGTTAAATATTAATGACGGCGC
+AACGCCGGTTAAAACCGGCGTTAAATATTAATGACGGCGC
+TTCATGTGCTCAACCCGAAGTTGACTTCACCTATCAATAC
+GGGAGATCACCGCCTGCTCGTTATGCATCACAATATGACG
+TCATATTTCTTAATCTTGCGATAGAGCGTAGCAATGCCGA
+TCGATCAGGCTAACTGCATGATCAAACTGGAATCGGACGG
+CCATGATGGTTATCTGGATGTTTACCATCAGTACGGCCTG
+CCGCGCCTTTCAGCGCGGAGATTTCTTTCAGAGAGGATTC
+TGCCTTCGTATCAAACAGAGTTAACATATCGCGCGCCGCC
+GGTTGCCGCGAAACTCGTTGATATCGAGCTTATAAGCCAG
+ATTGGCCCCTGAATGATATGTTTACCATCATCGGTGATGT
+TACCGTGATTCATCAGCCAGTTAAACAGGTCCGGATCGTC
+CGCGTCGCATTAACCCGGAGATGAAAGTCGGCTGTATGCT
+AACAGACTGTTAACCATAAGGTAAAATTGATCATCACATT
+GCCAGCGGATAAGCACTGCGTTTACCAGCGTGGGTAATTT
+GTCTCTTCTCATCAGGGTAGCTATAGTGTCGCCCCTTCGC
+CTGTTATGCGAAGCAGCGGGTTATGACGTAGTGATTGTCG
+CCTGCGCCTGATGAATCGCGTTATCAATCGCTGCCTTACG
+GGATCTGCTTAACCTGATCGATATCGGAATCATACGCCAC
+GCTTCACTGCATATTCCACGATCTCTTCATCGTTATCGAC
+AGGACTTACTCATCTTCAAGATAAGTATAACCGTACAAAC
+ACAGGTGTAGATCCGAGACGTTATGCTTTACACTAAGGGC
+CAGCTGCGGTCACTACCGCGTTATACAGGTTGAATGGACC
+CAGCTGCGGTCACTACCGCGTTATACAGGTTGAATGGACC
+GGTGTTTGTCGAAAAAGAAGTTAGCCCGGCAATTCGCGCC
+GGTGTTTGTCGAAAAAGAAGTTAGCCCGGCAATTCGCGCC
+GGTGTTTGTCGAAAAAGAAGTTAGCCCGGCAATTCGCGCC
+GAGTCATCCTCAATATGCTGTTCAAATTGCGCCAGCATCG
+CCCTTGCGTAAAACCGTAAGTTGAATGGAATCCATTGAAG
+TATATTCCGCAGAAAAGGAGATATAGCGCCAGAGTGAATG
+AGAGATTGATAATCTCGTTGATCACGTTGGGATATTCGGC
+GAATAGCGATGAATAAGCTGATCAATATTCGCCCCGCGAA
+CCGCCGCGCGGATCGACAGGTTATCCATCATCTCCAGCCC
+ATCTGATGTTTAATTCAGTGTTTGCCAGCGTAAATAATCT
+ATCTGATGTTTAATTCAGTGTTTGCCAGCGTAAATAATCT
+ACAGCAATTAAATCGAAGCGATCTACCGCACGCAGAATGC
+AGATTGCCATAACGCCACAGTTAACCTTTGGTGGTGCACA
+TGTTACGGATGTATTGCGCGTTAACCGGAACGTCGATATT
+TTCAGGAGTACAATAGGCAGATAAAGGCTTAAACGCTGTT
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+CGACCATCGTTCATCTGTAGTTGATAGCGACGAGAGTTCG
+CGACCATCGTTCATCTGTAGTTGATAGCGACGAGAGTTCG
+TTTTGCGCAATAAGCTGTCGATCAACCGTAAGATATAGCG
+AGCTGTCGATCAACCGTAAGATATAGCGCCCGACGCACTC
+CAAATACGGTTATCGCAGGGATGAAAAAATGCGAATTTTA
+GTTTAAGTTAGTAATTCGAGTTGATCGTCAGAGATGGTGC
+GAACCCGGATAACAATGATGATGATCATCAGTTATTTTGA
+GATCTGGCAAGATCCCGGCGATCAAGCGCTGCGGCGTGTC
+CGCAGCCGCATATCCACGCGATAGACGAAGCCATCCTGCG
+GACCGGCGTGAAACTGGTGGTTGGCAAAGGTGGTATGGGG
+CCTTCCACTGAATGGTGGCGATATCTTGCGCCGCTGGCGG
+ACTTGCGGTTTAACGGCAAGTTTGCTCAACGTTTCCAGGC
+TGCTGGGTATGTTCGTTCAGTTCATCGGTGCCTTTCGCCA
+GAACGCTGGATCATGAGGAGATGAAAGCACTTAACCGAGA
+CCCCGCCGATCAATAAAGTGATGTATGACAATAAGATCCA
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+CGCAGCATATTAATACCATGCTCTACGAAGCAGAGCTGTT
+TCGACCTTGCAAACACTTTGTTACATCCTGAAAGATGCGT
+CGAGACCACCAAAAACCTGGTTAACGATATGTCGAATGCC
+TCTTCCTCTCAACGAGTGAGCTAGCTTGCTTATGGTGCGA
+CGCCAACTCTGATGGAAGAGTTAAACATCTCCACCCAACA
+AGATCCTGCGTAACCGTCAGTTCTGGGGTATCGCGCTGCC
+TCGCTTCGGATAACTTCCTGTTATCCGAAACATATCACTC
+GCCAGATCCTTAATATGCAGATCAATACGGAAGCCCGGCT
+CGAAAGAGAGAATCGTACTGATCACCGACGCGATGCAGGC
+TTATCTCCACTAAATATCTGTTACAGGACGCCCAGGCCAA
+TAAACCGATCATTATTGATGTTAAAAATGCGGGCGCGGAA
+ATCAGAAAAATAACATAGCGGTATAAATCAACAATTCCAT
+ATCAGAAAAATAACATAGCGGTATAAATCAACAATTCCAT
+GAATCTGCTTAATCAGTGCGATGAGCTGGGCATTCGTAAC
+GAATCTGCTTAATCAGTGCGATGAGCTGGGCATTCGTAAC
+TGGCAACCTTACTCGCCCTGTTCAGCAGCCGGAGCTTCCG
+AACCCTTCGATATCAGCCAGATCATCAATGCCCTGTTCGG
+GTGCAATTCTGAAAGATGAGTTAAAACAGGCGGGTATCAC
+ATGGGATCTTCAATCATCAGTTAATAAACCAGCGAAACAT
+CCACGCTCTTAATCAGACAGTTGACCAGATCCATACGCCA
+CCAGTTGACCAAACATAAAGATAAACTGAAACAACACTAA
+ATCTGCTCCATCTGATAGAGATCGCCAGAGGTCTGTTTCA
+GGATGAGTGTCATCATCGTGATCTGGCTTGTCGCCATCAA
+GGATGAGTGTCATCATCGTGATCTGGCTTGTCGCCATCAA
+GGATGAGTGTCATCATCGTGATCTGGCTTGTCGCCATCAA
+CTGAACCGTTGATGATGGTGTTCATCAGCGTGTACCAGTC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+GCTGAATGGTGATCACAATGATCAGCGCGGTATAACCGGC
+GCTGAATGGTGATCACAATGATCAGCGCGGTATAACCGGC
+TGATGTGGGTGATCAACGAGATCAATCGTGGGGAGCTGGA
+TGATGTGGGTGATCAACGAGATCAATCGTGGGGAGCTGGA
+TGATGTGGGTGATCAACGAGATCAATCGTGGGGAGCTGGA
+CCTGTCCGGTTAATTCAAAGCTGTTGAGATTGCCATCAAC
+CAGTTCAATATCAAGGTTAGTTAATGCAGGCCAGTCCGGC
+GCCCGCGATGTCTTCGTCTGTTAACGTTCTGAAAGTCACA
+TTGAGTAACTCAACATTAAGTTCTTTGATCCAACTGGTAC
+TTGAGTAACTCAACATTAAGTTCTTTGATCCAACTGGTAC
+CGAACACCTTGGTCAGGAAGTTATACAACATCATCCAAAC
+TTTTTGGTATCAGCATTGCGTTATATACCGCCTTTGGTGG
+TACCACCTTCGATCATAGCGTTAACCACTACACCAACAGC
+ATCCATTAATTGAATGTTAGTTCGAAAAGCAAAAAGGCCA
+GATGTTGCATTAATAATGAGATCAAACTCATGACCTTCCA
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+TAGACTGGCTGATTAATAAGTTAATGGCCCGTCCGATGAC
+GCAGGGGGATATCCCTGCTGTTGTGATGCATTACGGTGTC
+ATCTTTACGGTTATTCCGTGATCACGCTGGACAATGGTTT
+GGTGGGGACAAAACTCAAAGTTACTCCGCAGGTCAATGAA
+GCATACGCTTAAGATTGAAGATCAACTTCAGCAACAACAG
+CGTTGGAGGATAAAACGGCGTTAACGTTTCGCCAGGTATT
+CGTTCTTATAAATGCCGCCGTTATAGATAACGTACCATGT
+TGCGTCTGCTGACCGAGAAGTTAAAAGCCAGCCAGCCGTC
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+GATTCAACTCAAGGCCGATGATAAACATCAGGAATACCAC
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+CAAGCCGTCTATCGGTGTTGATAAACTGCCGGACAGCGCG
+TCGATTACCTGAAAGCAGTGATCATTGACGACAAACTGGG
+GAAGAAAGAGTAACCATGCGTTGAGCAGCCCGGTTTTCAG
+CCAGTTCTGCCAGCAACTCGTTATCCAGCGGCTCTATTTC
+CATGAGTCAGCAATGCTTTGTTATCCATCTCGACCAGATA
+GCCGTAGTTATATCCGTAGGTTAAGCCAACTGATGGGCAA
+TCGACCAGCGTACCATCAAGATCAAAAGCGACGCCGCGAA
+CAGTACGCATCTTCACAATGTTATAGAGACTGATCAGGTC
+CGCGTCGGCGTATTGCAGGGTTATACTGCGATTTTCCAGC
+AGTTGTAGCGTGAACAAAAGATCATCACCTTCCACGCTTA
+TGTGCTTAATGATGCTCAAGTTAAACTCCACGCTTGCCGA
+TGGGTCTGGATATCTGTGCGATGACCACCGAGATGGGACC
+GGTGATGATAAACATCAGGGTTAGCAATGATACTAACGGC
+GGTGATGATAAACATCAGGGTTAGCAATGATACTAACGGC
+CTTTCGCCGTCACCATAATGATCGGCATCGGGTTGCTCTG
+GTCAGCAGGCGATCCATCTGTTCTGCATTAGCGACGCTTC
+CTTGCGCATTAACCACGGTGATAACCCGCTGGACGCGTCT
+CTTGCGCATTAACCACGGTGATAACCCGCTGGACGCGTCT
+CTTGCGCATTAACCACGGTGATAACCCGCTGGACGCGTCT
+GGTTTCCTGTTAATACGGTGATAACAACAATGAAAAAATT
+TATCCTGTTTAACATCGTGGTTATCGGTCTGCTGCGCCGC
+CCACTTTGTTGATCGCAAAGATAATATTCTTCGCCAGGTA
+CCACTTTGTTGATCGCAAAGATAATATTCTTCGCCAGGTA
+CCACTTTGTTGATCGCAAAGATAATATTCTTCGCCAGGTA
+GTACTGACATAACCCTGCTGTTTAACCAGTTCGATAATAC
+CATAGCCGCTTAACAGGGCGCTGATAAGCGTAATGACAAT
+CCTGGTAGTGATCGCCGAAGTTGATCAGCGAATCAACCAG
+ACCGGATGGGTATCATTGAGATGAATCGCGATTTTATCCG
+CTTCAATCCATAAAGTTGCGTTAAGCCGCACGGTTCAAAA
+AATGACCGAACAACAGCGTGATATGTCCGGCGAAGGTATC
+AACCGCCGGAAACCAGTGAGTTAAGGGTCATCCCGTGGCT
+AACCGCCGGAAACCAGTGAGTTAAGGGTCATCCCGTGGCT
+AACCGCCGGAAACCAGTGAGTTAAGGGTCATCCCGTGGCT
+CCAATTGTTTCAAATAGTTGATCATCACCGGATGCCCGAG
+GACCGGCGTGCAGCAGCGGGTTATCTTTAAACTCCCCGTC
+TGCTTGTTTACAATTATTAGATATACACTAAATCAATTGC
+TCCAGCCGTAGATAAAGGTGATCACAAACAGCGCCGCCAG
+TCCAGCCGTAGATAAAGGTGATCACAAACAGCGCCGCCAG
+CGAGGCCATCAGCGGCAGCGTTAAACCGGCGTAGCTGTCG
+GGAAGAAACTCACCGGGGCGATAAGCGGCAGCGCAATCTT
+GGAAGAAACTCACCGGGGCGATAAGCGGCAGCGCAATCTT
+GACCGGGGTTAAACAGGAAGATCCACAATACGGCGGCAAC
+GCATCATGCCTACGCCGTAGTTAAATTTGGCGTACTCGCG
+ACTCCCTATCAATCAACGTGTTATTACCCGCCTAAATACG
+TAGGGCCGATTAACGAGACGATCTCCTGCGGGTACAGTTC
+GCAGTACGCATAATGTGTTGATAACCGCGTTGGGTCAGCT
+GGTTGGTCGCTCCCGGCGAGATCATCAGAATACCTTCGTC
+GTGGCTTGTTAGAAGAGACGATAAATTTACTGGAAGATAA
+TCGCGGTAATGATCCCTGCGTTATTAATCTCCTACGTCAT
+TCGCGGTAATGATCCCTGCGTTATTAATCTCCTACGTCAT
+TCGCGGTAATGATCCCTGCGTTATTAATCTCCTACGTCAT
+ATCAACGCTTTGCAGGCGAGTTAAAGGTTCGTTATCAGAG
+AAAAGCCAGCGATTAAAAAGATCACCTTTAACGTCATCCC
+AATCGCTGATTGATAACGCGTTGTATGGCACCCAGCAGGT
+ATCACCGTTTATCATCGCCGATGAACCGACCACCGACCTT
+ATCACCGTTTATCATCGCCGATGAACCGACCACCGACCTT
+GGTGACCCATGATATGGGCGTTGTGGCGCGTCTGGCGGAT
+GGCTTTTCATAAAGGTGGAGATCAGCAGCCCCATTCCGGT
+CCATTCCGGTGGCAATGATGATATACAGCAGCGCCGCCAG
+CCATTCCGGTGGCAATGATGATATACAGCAGCGCCGCCAG
+ATGGTTGCAGGAATACGCAGATCTGGCGCGGCATCGAGGA
+TCTCTTCCATCACCTTGCTGTTATCCCATTTACCGGCGTT
+TCGGTTTTTACAACGTTATGTTATCAGGTGTGTTTAAAGC
+GCTCAACGTTAAATACTGAGTTAAATACCGTCGGCGCGTT
+ATCCGACGCTAGCCGCCACGTTGAAAAACACCATCAACAC
+GAGTTACCGCTACCGCGTAGTTCCGCGTCACCGTTCATTT
+GGACGATATCCATCTGACTGTTAGTGGCCTGGGCGATAAA
+TCAGTCGGGTAAAGGTGTCGTTATCCTGCGGACGCGTCGT
+ATGCCAGCAATATCACACTGATAGCCGCCAGCACCGCCAG
+CCCATCAGTTCATCATTGAGATAAACCTTTAACTGCGACT
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+AGGTGACGATGATACCGAGGATCAACCGCCGCGCCCCGGC
+CCGCTGCCTTTAACGCAAAGTTCTAAACCGGTCATCAATG
+CGCTGCGGATTTTCATCCTGATCAACAGCAAAACAAGCTA
+TCCAGTTGGCAAAGATCGCGATGAACAGCACGATGACGAC
+TCCAGTTGGCAAAGATCGCGATGAACAGCACGATGACGAC
+ATCCGTTAATGGATAGTGAGATATGGGGCGCAAATTTGGC
+TCTGCTGTGTAATCGATTTGATGTATCTCATGCAAACAAA
+TATCGGCATTTATCAGATCGTTAGGTGGCTATAAGTCACG
+TAGCGTGTTTAATGGTGGTGATGATTCACACCACTACCTG
+TCGGCACTTTCATCAGCCTGTTGAGCTGCAGCGATTAAAG
+ATCGCCGGATTAATCCTTAGTTCTCGACTTGGCGCTGGTT
+GGGGCGACAAAGCAGCAGAGTTATTACTATTAGCGCCAGG
+TCGACGCTCAGGAACACCCGATCAACGTCGTCTGGTCAGC
+CTATCACGCTTATCAAGCTGTTGCATGGCATAATCGTCAT
+TTTTACCGATATCAATGTAGTTGAGGATGGTTTCCAGTTG
+GGCAAGGGTTACAGAGATAGTTGAAAAAGCGGCTAACAAT
+GCGCCACGCCGTTGTCCGCGTTATAGGGCAGTTCATTAAT
+AAAGGCCGTCGACTGGACAGTTAACCGATTCAGTGCCAGA
+CGTGGGGTATCATCACCGCGTTATTTATTCCAACAGGGTG
+CGTGGGGTATCATCACCGCGTTATTTATTCCAACAGGGTG
+TTTCTGTTACTAACAGCGCGATCAACAACCTGCCGCCAGA
+TGCCAATACATAACATTTAGTTAACCATTCATTGTCATTA
+TGCCAATACATAACATTTAGTTAACCATTCATTGTCATTA
+TGCCAATACATAACATTTAGTTAACCATTCATTGTCATTA
+TTTGGGGGCGTCACAGGTTGATATGACGCTGGCCCACACC
+TTTGGGGGCGTCACAGGTTGATATGACGCTGGCCCACACC
+CTACCCCTACCACCAGCTTGTTATCCATCAGCCACGGTTT
+CGATTTCACATAACTACAAGTTATCAATTTCCCCTCCCCT
+TTAGGGAGAGAACCATGCTGTTACACATTTTGTATTTGGT
+CGCTGTAGATAGTCAGGCAGATATACAACGTGATGAAAGC
+GCTCGCCGGTAAGCAGAAAGGTAAAGCACGGCTGGCACAG
+CGCTGATGCTGGTCTTTATGATCACTTCGCTGGAAACCAT
+TGCAACTGCGTGATATGGCGTTTAATAGCCCGAATAGCGA
+GTGCTGCTTTTAAAGTAAAGATCACCGATCCGTCAGCAGC
+ACATCATATATAACATTACGTTATCGAAAATAATGTGGCT
+GAAAGCCGCGTGCCCCCGCGTTAAGCGCCTGCTCAACCAG
+GAAAGCCGCGTGCCCCCGCGTTAAGCGCCTGCTCAACCAG
+GAAAGCCGCGTGCCCCCGCGTTAAGCGCCTGCTCAACCAG
+CGTCATTGACCAGTAGCCAGATATGGCTTTTGTCGCTGTC
+CCACGACCATCAATATTAAGCTAATGATTAATAAGCTGTT
+GTGAAGAGGTTGAGTACCAGTTTAAAGTCATCCGTCACCC
+CGGCGGCAATGAAATAACTGATCATCGCTAACCAGCGCGT
+AGTCGAACTTCACCAGATAGTTGATGGTGATGTAGCTGAT
+TCCCGTTGGTCAGCAAAGCGTTATTTATAATGGCGAAATT
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+CACGAATTTGTGCCACGGTGTTAACCGCCGCATCTACCGC
+GTAGCGTTTTAATGCCGTCGATAACATCCGCCGGACGATC
+GTAGCGTTTTAATGCCGTCGATAACATCCGCCGGACGATC
+TAAGTTGCTGTAACACCGGGTTATGCACCGACTGCAGCAC
+TTCAACGGCTTAGCTACTCGTTTAAAGGATTAATCATGAA
+CCGCGACGCTCATCATCAAGCTCAGAGGCAAAATCATCTA
+TACCTTCGGTAATCGAGAAGCTGAACGGCATCATCACGGC
+TCGCGCAGTTTAAACACGCGTTCCAGCATCCCCTGACCAG
+CGGGAGCTATTCCTGCGTTGTTAACCGGTGTAATGGTTGC
+CGCTGACAATTATCAGCAAGTTTTTCGCCGCCATGATGCT
+AAACAACGCGCGCCAGAATGTTCAGCAGCAGTACGCACAG
+CTTTCAGCGTAATCGCAGAGATCATCTTCCACTTCGGTGT
+TGTAGCCACCGGTCTGGTTGATCTCTTGCATCAACGGAGC
+CAAATATCATAAACAAAACGTTAGGCAGAAAGACTGCCAG
+TCCTGGGTATTAAAAAGAAGATCTATTTATTTAGAGATCT
+TGACGCTGTTATCAAACCAGTTATACAGCGCCCAGCTGTC
+TGACGCTGTTATCAAACCAGTTATACAGCGCCCAGCTGTC
+TGACGCTGTTATCAAACCAGTTATACAGCGCCCAGCTGTC
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_0.stat b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_0.stat
new file mode 100644
index 0000000000000000000000000000000000000000..d283a673d79059f6f89852232c2d590d194ca154
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_0.stat
@@ -0,0 +1,5 @@
+A 79.00000 112.00000 124.00000 81.00000 71.00000 130.00000 54.00000 87.00000 99.00000 74.00000 145.00000 341.00000 221.00000 105.00000 176.00000 93.00000 98.00000 136.00000 190.00000 0.00000 156.00000 0.00000 265.00000 220.00000 140.00000 82.00000 189.00000 70.00000 77.00000 142.00000 77.00000 92.00000 140.00000 135.00000 89.00000 140.00000 77.00000 103.00000 110.00000 78.00000
+C 130.00000 144.00000 98.00000 114.00000 131.00000 128.00000 144.00000 112.00000 79.00000 80.00000 66.00000 27.00000 87.00000 211.00000 76.00000 145.00000 98.00000 64.00000 114.00000 0.00000 10.00000 0.00000 104.00000 38.00000 130.00000 218.00000 85.00000 72.00000 246.00000 77.00000 131.00000 166.00000 79.00000 119.00000 139.00000 99.00000 161.00000 117.00000 114.00000 164.00000
+G 101.00000 110.00000 98.00000 127.00000 152.00000 97.00000 142.00000 168.00000 104.00000 53.00000 82.00000 32.00000 21.00000 51.00000 97.00000 107.00000 164.00000 166.00000 18.00000 442.00000 6.00000 0.00000 58.00000 33.00000 89.00000 70.00000 117.00000 155.00000 55.00000 139.00000 104.00000 118.00000 105.00000 87.00000 112.00000 115.00000 94.00000 114.00000 110.00000 99.00000
+T 132.00000 76.00000 122.00000 120.00000 88.00000 87.00000 102.00000 75.00000 160.00000 235.00000 149.00000 42.00000 113.00000 75.00000 93.00000 97.00000 82.00000 76.00000 120.00000 0.00000 270.00000 442.00000 15.00000 151.00000 83.00000 72.00000 51.00000 145.00000 64.00000 84.00000 130.00000 66.00000 118.00000 101.00000 102.00000 88.00000 110.00000 108.00000 108.00000 101.00000
+Other 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_16.seq b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_16.seq
new file mode 100644
index 0000000000000000000000000000000000000000..882826c3a757cd16a1a8f61ff6c3dcf272d9e4d7
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_16.seq
@@ -0,0 +1,426 @@
+GGCCAGCAGTGCGATGATCATCTCTTCGATCAATCCCTCT
+GGCCAGCAGTGCGATGATCATCTCTTCGATCAATCCCTCT
+GATGCATAACCTTAAACATAACAAGGTATTGCATGAGCGG
+GTAATAACGACTACAGGACATCTTGAATATGAACATGAAA
+AAGTATCCGGTTGATCTGAAACTGGTTGTTAAGCAGTAGT
+AAGTATCCGGTTGATCTGAAACTGGTTGTTAAGCAGTAGT
+AATACGTCATCGACAGATGAACGTGTAATATAAAGAAAAG
+AATACGTCATCGACAGATGAACGTGTAATATAAAGAAAAG
+CAGCGATCTTATTCAGGATAACTCGTTGCTGGGCGGAGAC
+CAGCGATCTTATTCAGGATAACTCGTTGCTGGGCGGAGAC
+CCATACTGCGCTTCTTTTTATCGCTCATTCAATGTCCTGT
+CCTCTTGTCAGGCCGGAATAACTCCCTATAATGCGCCACC
+AACTAATACTCCGCGCCATAACTAGCTCGGTCAAAGAATT
+AACTAATACTCCGCGCCATAACTAGCTCGGTCAAAGAATT
+AACTAATACTCCGCGCCATAACTAGCTCGGTCAAAGAATT
+ATGCAGCGGACAAAGGATGAACTACGAGGAAGGGAACAAC
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+ACGAGGAATCACCATGGCTAACTACTTCAATACACTGAAT
+ACGAGGAATCACCATGGCTAACTACTTCAATACACTGAAT
+TTCGCCGATGGCGCGAGCTACCTTCAGGGTAAAAAAGTAG
+GTCTAATGGATTCACGATGAACTCCGATTTCGGTCTTCTC
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+GCCGAAGACGCTGAAAATGAACTGGATATTCGTGGGTTGT
+GCTGGATGAAATGATTAACAACATCCAGTTTATCCCCGGA
+GGCGGCAAATTACCCGTTTATCGACCCCGATAAAAAGATG
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+ATTTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCT
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+CATCGCGCGATCGCCAGTTAACACTCTGGCAGGCATGTCG
+GTCATGCTGAGCGCATTTCAACTGGAAAATAACCGACTGA
+TTCTACTTTAGGAAGGGATAACTAACGGCTATGGAGTTAA
+CGTGGCGGCGGCGTGCCTTAACTCGACGCAAACCCGCGAA
+CGTGCTGACGCCGCTCTACATCACGCTGATTTATGACATC
+TCCGGCAGGGCTGCTGGTAAACCTGGCTATCTGGCACCAA
+ACAGGTGAAACTGCTGCTGACCACCTATTTTGAAGGCGTA
+CGCCTATGAACGCTATTTTAACGCCGAAGACGACTACACC
+ATGACGCTGGTCGCCTATGAACGCTATTTTAACGCCGAAG
+GGTTTAGGAGTAGAAATTAAACGCGAGATTAATCCGGATT
+CCGAATGATGAAGCTTATCAACGCGATGATGAATATAATC
+ATTCTTCACACTGTGCTTAATCTCTTTATTAATAAGATTA
+ATTCTTCACACTGTGCTTAATCTCTTTATTAATAAGATTA
+CGCGCCACCGTTGAGGTTGATCTTCTCGTCAATCTGCTCA
+CCTTTGCTGTCTTCTTTATAACGCCAGAAACCGAGGCCGT
+TTAACGACTTGTCGTTGATATCTTTCATGACAACCGGCAC
+TATACTTTGCAATGTGAATATCATCAGTTAACCGGCATTG
+TATTAACACTATCATTGCTATCTTCCTGCTGATCTCCGGC
+TTCGGCGCTGATGACAATTAACCAGGCGTTTTTCCAGGTG
+CATCACTGGCTACAGCAATAACATGCCTGTCTATCACTAA
+CGAAACCGACAGCCTTGATAACATCTCTGCTAACCTGGTC
+GCGGACTACTCGCAGATTGAACTGCGCATTATGGCGCATC
+AGAAGTGCAACGTCTGGTTAACCGCGAGCAGGATGAAGAG
+ATTTAATGAGAAGTAGCTCAACAGTTCCGGTAACGGTGTA
+TATTTCTGGCTACCGGTAGAACCGGCGCGCATAAAGAAAA
+TTCAATCATGTTCTTTTTGATCACTTCCTTGAACCAGGCG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+CAAGGTAACCGATGGATTCAACTACCCAGGTAAACGACGG
+GCCTGCAAATGCGAAGTTTAACTCCGCTTATACAGCGGCA
+ACCAAATGTATCGCCTGTTAACGCCGGAGCAGCAAGCGGT
+TGCTTGTAGGCATGCTGTAAACTTATCGTTAACGAGCAAA
+CGTGTTGCCCCTGCATTTGATCAAGCAATAACAGCATAGC
+ATCAATTTGCTTGGTGATGATCAAATCGATAAAGGTTTTT
+TGGCCGTGTTGACCGCTTCAACAAGCGTTTCAACATCCCG
+TATCGCGTGTTGTTTGTTGATCAAGGCGATGAACAGGCAT
+GGCGGTGAGCGTGGTGGATAACACCTTCTTAAGCCCGGCA
+CGTGGATTAATTCAATTATAACTTCTCTCTAACGCTGTGT
+CGCGACTGGTGGCCAAATCAACTTCGTGTTGACCTGTTAA
+TTTTTCTTCATGTGGGGCGATCTCTTATTTAACAAAATAA
+GTTGCTGTCCGGGCGCTTTAACTTCCATTTTTGCGGGTAC
+AGCGTGTTTGTTCAGGGTTAACATAATGATGAATTGCGCT
+AGCGTGTTTGTTCAGGGTTAACATAATGATGAATTGCGCT
+AGCGTGTTTGTTCAGGGTTAACATAATGATGAATTGCGCT
+GGCTGTTGTAGTGACGAGTAACCTTAGCGTTATCGCGATC
+AACCTACGGCTTGCATGACATCGCGATGTTTAATCTGCTG
+TGGTGTACGGACGAGACGTAACTACGTTATTAAACACGGT
+TGGTGTACGGACGAGACGTAACTACGTTATTAAACACGGT
+TGGTGTACGGACGAGACGTAACTACGTTATTAAACACGGT
+ATGCCGTTAGTGCCACTATAACCACTGATGTAAATAATGG
+ATGCCGTTAGTGCCACTATAACCACTGATGTAAATAATGG
+GGCGCTGGAACGTCTGTTTAGCGCACTGGTGAATTATCGT
+CTGCGGGTGACGCCTGCTGATCAGATAGACATTATCACCG
+AGGTTCGCCTAAGCTTATCAACTCCTTGCTGGAGAACGGT
+ATGACCGCCGCGAAAGCAGAACAACTGATTGAGCAGGGCA
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+CGCTTCGTGGCAGTGCTCTAACTCCTCGGTCATATTGCGG
+GGTAGTGCAAGAGCTATGGATCGTATAATTGAAAAATTAG
+TCGGTACGTCAGGTCATTGATCTCGATGTTGGGCTGTTTC
+CGCCGCGAAAGATGGCTATACCTTCGTATCTCACCAGCAG
+GAACAAATTGTGATTCGCCATCTTTATATTGAGCGGCGGA
+CGATAATAATCGCTTCGTGATCGCTTTGATCAAGCACCGC
+CGGCGCGCAGATTATCGATATCAACATGGATGAAGGGATG
+TTATGGCTGGATGCGCCATAACAAATCATGCGAATGTTGA
+AGACAACAATTTCAGACATAACTACCTCGTGTCAGGGGAT
+AGACAACAATTTCAGACATAACTACCTCGTGTCAGGGGAT
+GTATGTTGACCGTAACGGTAACGTTGTGGATTACCAGACT
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+CTGAACTATCGCGATAACGATCAGTACCGTTATTACTCAG
+CTGAACTATCGCGATAACGATCAGTACCGTTATTACTCAG
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+CACCGCCATTGTGCGCTTGATCATCGTCGATCATAAATCG
+CGGTGAAGGTGAGGTTGATAACTCCGACAATAATGGTCTG
+CGGTGAAGGTGAGGTTGATAACTCCGACAATAATGGTCTG
+TGTCGACTACGGTCGTGCCAACTTGCGTGATAACTATCGT
+TCGTGCCAACTTGCGTGATAACTATCGTCTGGTTGATGGC
+CAATCACGGTATTACCGAGATCGCGCAGATGGATAAGCGT
+GCTCGTCCAGCACGTACATAACGCCAACCAGGCCCGCACC
+CCACGGCGCTTCGACGTCGAACTTATAGTGATCTGCCAGC
+TCCCTTATGGGAGAAGGTTAACGCTCGGGTAACCCTTGCC
+GATTGCGGTGACGGTGGCTAACTTTGGTTTCTCGTCTCTG
+CAGGATCGGTCCGGCGATGATCAATCGGATCAACGGTTCG
+GTTCATAAAGAAGTCGTAGATCTTGTCTTTGGTGGTTTCG
+TAACAGGGTGCTGAGGCTGAACATGCTGGTGAAGGCCAGC
+GGCACCGATTCTGCTGTTGATCTGTAAGATGGCACAAGGT
+CCCGGCGTTTATTCTGATTAACAGTAACGTCATCGGCCTG
+ACTGGTGTTTTCGCTTTTCAACTTTTTCTTTAACAGACTT
+GAGGATCTGGGATGCTATTAACGATCCGATTATGGGATGG
+GAGGATCTGGGATGCTATTAACGATCCGATTATGGGATGG
+GATACCGATGCTGAACAGGAACAGCAGGTTATACGGACCG
+CAATCGCTCTCAGAGTGTGAACACCATAGTAGGCATCAGC
+ACACCAGAACATCACTGATAACGCAGCAAATAACCCGGTA
+TCAGGCAATTTTAATGTTTAACTTCCCTGTTTAATCAGTT
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+GGCCGCGAACATGACCATCATCAACCAGAATATCCAGCAC
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+GTCTGGCCCGAATCGGTAGATCTGATTGTTGATGCGCTGC
+GGCAGCGCGCGCGACGGCTAACACTGGCGATAAAATTATC
+TGATGTAGCGACCAGTATGATCAGTCAGTTGCAACGCATT
+GCGAGCCGTGAACTGCTCCATCAACGCATTGAGCAGCGTT
+GGGCAAATCGAGTCTTTTGATCAGTTCGTGATCCTGTTGA
+GAAGGCATGGAAGAAGATGATCTCTGCGATGACCAATTTG
+TTTTCTTACGGAACTGGATAACTACACGCTTGCCGATTTG
+GCAAAAGCGGGCCGTGTTGATCTGCGCGATTTACCGCTGG
+GCTACTATGTGCGTCCGTCAACGCCGCTGGACAGAGAAGC
+AATGGGGATCCGTGAAGATAACACACTGATCACCAAAGAC
+ACATGTTGCAGGGCATTCCATCGCGGTAATAAACGCCCAG
+GGTGACGCTGGCGATGGAGATCATGGATTATCCGTTGATG
+GGTGACGCTGGCGATGGAGATCATGGATTATCCGTTGATG
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+GTTCTGCGTACCACTGGCGAACACGAAGTGAGCTTCCAGG
+ATCGGGGAGTCCGTGGTTTAACTCAGCAATATTCACACAC
+GGAGGATGCCACTTTAATTAACTAGTTATTAACATTAAAA
+CGGGATGAACGTGCGGCATAACTGCCGGATGCGCTGAGCT
+GATAATTCACACCATCAATAACATCAAAGTTATAAGTGCG
+GATAATTCACACCATCAATAACATCAAAGTTATAAGTGCG
+TTCGCAGCCGGATGTAAATATCAACCTCGTCACCCTGAAT
+GCTGGGTCTGAACGGGCAGATCAACATCCCTGAAGGGCGC
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+CCTGCCAACGCCGGTCATTATCGCGGTGCTGACGCTTATC
+GGTGCTGACGCTTATCCTGTTCTGGCTGTTGACCCGCAAA
+CTTCAAAGACGACAATCTCATCTTCTTCTTCAGAGGCAAT
+CAGCGAACGCGTGCTGCATAGCGCGTGGTTGAACAGTCAT
+TTCTCTTGTTGCACGATCGATCAATTGTTATGCATGCTGA
+TTTAAACGCGAATCCGCTCAACTGGTTGTTGACCAGAAAT
+TGATTTACGTTGGCGTCTGATCATTGATTTATCCTCAAAA
+GATTTATCCTCAAAAGCCCAACCTCATTGGTAATGAACCA
+ACCAACCAGAAGCAGCACTAACATATTGATGACCAAACGT
+ACGACGGGCGTACCGACTTAACTGTGTTGATCATCGTACG
+ACGACGGGCGTACCGACTTAACTGTGTTGATCATCGTACG
+ACGACGGGCGTACCGACTTAACTGTGTTGATCATCGTACG
+CGTTTCTTTGACCCGTTTTAACAGCGCGCTGTCGGTACGC
+TAAAATGCTGGCCAGAATTAACATAATGGGTATCAGTAGC
+TATTTACGGAGCGAATATTAACACGTAGTTATAGGAGGGA
+TATTTACGGAGCGAATATTAACACGTAGTTATAGGAGGGA
+TACCAATACCCTGGCTGATAACGTCGATTTAGATAACGCG
+ACCACCAATGCCACGGTTGATCTCGGCGATCTTTATTCTT
+CTACGGCGTGCGTGCTGACAACGATCTGGTTGATATGATC
+CAACGATCTGGTTGATATGATCAAGCAGTTCGGTCCGCGT
+GAGTGTGTGGCTGCGCTGTAACTAACTGATTACCCTACAG
+CGCCAGGACGCGAATCAATAACACCAGAATAAATGGCGGC
+TGACACGAATAAACTGCAGATCTTTGCCGATATTTAACTC
+CCGCGAAGGCGATGGCTATATCTATGTGGTGATTGAACAT
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+ACCTTCATCGTTGATGCAGATCAATGGCTGTTACAGGGAC
+AGCGCAGTCACTGATGAATAACACGCGAATTACCGGCGTT
+CCAGACGACGCACCTGTTTATCTATCGTTTCGCTGCGGTC
+AGCGATAGGTTTACCCGATAGCAAGGGATTTATCTGGCTT
+CCAGGGCGAGCGTTATCTCAACTTTCAGTTAACGCAAAAC
+CAATGCCTGATGCGACGCTTAACGCGTCTTATCATGCCTA
+AATGCCTGATGCGACGCTTAACGCGTCTTATCATGCCTAC
+GGCGCTACAGAAGATGCAGAACGCTTTGGTGACGTCGGGG
+ACCGCCGTGGTAGCCAATGAACTGGAGATCATGGACGGTA
+TGGCATCTCGGTGTTGCCGATCTTCATGATATCCAGCCCG
+TACCGCCAGATCACCGATGATCTGATGAATCAACCGGCGG
+TCGTCGATGGATTACTACCATCAGTTGCGTTATGCGGCGG
+TGGCGACCGATATCCGGATAACGCAATGGATCAAACACCG
+TGGCGACCGATATCCGGATAACGCAATGGATCAAACACCG
+AGACCGGTTACATCCCCCTAACAAGCTGTTTAAAGAGAAA
+CACCTGTAAAGTGGCGGGGATCACTCCCATAAGCGCTAAC
+ACGCGGCAACTGTACGCCAAACGCCGAGTTTAATATTGCT
+TCACCAATCAGGCAATATTAACTCCTGACTATCTCTCTAC
+AGTATGCGTCGTTAATTTTATCTCGTTGATACCGGGCGTC
+AGTATGCGTCGTTAATTTTATCTCGTTGATACCGGGCGTC
+CGACAAACAGTTCCTGCTCATCATTTAAATTAAAATCCAT
+GTGAAGGCCGATGCTGATAAACAGGCGCTGGAGCTGCTGG
+CATCACCATGTGGCTGGCGAACTGGAAGTTACGTCCTTCA
+CACGTTCGATAATCGACATACCTTCGTGGAACACCGCAGC
+GCTGCCGGGATACTCGTTTAACGCCCATCTGGTGGCGGGT
+CCCATCTGGTGGCGGGTTTAACGCCGATTGAGGCCAACGG
+AATGTTGGTTTTGACGATCAACTCTATTTCTCGCGAGTAT
+AATGTTGGTTTTGACGATCAACTCTATTTCTCGCGAGTAT
+AATATCCTTACGAACTTTGATCGCCATGATGACTTCTTCC
+CCGACTGCTCGCGCATTTCAACTTTTTGGTTCAGTTCGTC
+CCTGAGCATCCTTTTTATCAACGCTGGGCTAACGACCCGT
+GTAGAGTACGGGACTGGACATCAATATGCTTAAAGTAAAT
+TTAAACCCGCCCGTTAATTAACTCACCAGCTGAAATTCAC
+GCCGCCTGCAATAAAAGCTAACTGTTGAAGTAAAAGGCGC
+AAATGCATTGCTGTGGATTAACTTTCGTTTTTATCTTGCA
+CATCGTGGTGATGATAATCATCATTGTCATGATGATGATG
+AAGCCGCCACGAATGGTTGATCGCACCGTTATTATTGCAG
+ATATTAACCCTTTCTTTTCATCTGGTTGTTTATTAACCCT
+CAGCTTCGATCACGAATTTAACGACACCTTTACTGTGCGT
+TACCTGGCGTGGTGGTGTTAACTACCTGTTTGATAATGGT
+TACCTGGCGTGGTGGTGTTAACTACCTGTTTGATAATGGT
+TACCTGGCGTGGTGGTGTTAACTACCTGTTTGATAATGGT
+CGCGGCGGTGACGCTGTTGATCATTATGATCGCCGCCGGC
+CGCGGCGGTGACGCTGTTGATCATTATGATCGCCGCCGGC
+GGCCAGGTGAAACGCGGTGAGCTGGGTATTATGGGGACTG
+GGCCAGGTGAAACGCGGTGAGCTGGGTATTATGGGGACTG
+CAAAAACGCCGCTCAGTAGATCCTTGCGGATCGGCTGGCG
+TCCGATTGAATCGCAGTTCAACTATACGCTGGAAGCGGCA
+ATGGGTCTGGCTGGCTGATATCAACGGTACAAGCCGAAAG
+TACTTTGGGATTGCTGGCTAACGCACGGGCAATTGCCACA
+CGCGGAGTTGGTGATCCATAACGCAGCGTTCGATATCGGC
+ATGCCAGTTGTGGCTGCACAACTTCGTGGCTTAACGGCTT
+TGCTGGGACGTCGCTGCCCAACGCCAATGTTATCAGGCTA
+TGCCACAGGGCGGTGTTATATCGCCGCTATTATCGAACAT
+CTGATCGTGGGTGACGTACAGCGAGGTGATATCAAACTGC
+ACTGAAACACCATACAGATATCGCGCTGCTGAATAGAGCG
+GTTGTCGGTCAGCGCCATCATCTGCGCGTTCACCTGATAC
+GGTTGGTGTTACGCACATTATCTTTTCGATAGTGTTTGCT
+AGCAGAAGATGCGCCGCTTAACAACTATGCTAACGAGCGG
+AGCAGAAGATGCGCCGCTTAACAACTATGCTAACGAGCGG
+AGCAGAAGATGCGCCGCTTAACAACTATGCTAACGAGCGG
+TATCGGTGTGGTGCAGCTTAACTATGGCTTGAGCGTACTG
+TATCGGTGTGGTGCAGCTTAACTATGGCTTGAGCGTACTG
+TATCGGTGTGGTGCAGCTTAACTATGGCTTGAGCGTACTG
+GACCTACTACCGGCTGGAAACCTTCCTGTTAGAAGGCAGC
+TCGCTGGTGCTGTACGCCGAACACGAGTTTAACGCCTCCA
+ATCCGTGACGCTGACGGTTATCACTTTATTCTCGGGCGCA
+ATCCGTGACGCTGACGGTTATCACTTTATTCTCGGGCGCA
+ATCCGTGACGCTGACGGTTATCACTTTATTCTCGGGCGCA
+ACCGGGAATTGTTCCGGTCAACGCGGTATTAGGTGGCGCG
+GGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGC
+GGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGC
+ATCCAGCGGATAGTTAATGATCAGCCCACTGACGCGTTGC
+CCTGAAGCTGATGATGGATATCTTCGTTTTTGATACCAGC
+CCTGAAGCTGATGATGGATATCTTCGTTTTTGATACCAGC
+ATGAGTTCCATCAGTCATTATCTCAGGGTTAATCCCCCGG
+GTTACAGCACTTGATTGGGATCATATGGATAAGGCAGGCA
+TACCGATCATCTGACTATTAACTCCTACAGTACTGTTGCG
+AACGGCACCATCAACTATGATCAGGATGTTAACGGCATCA
+AACGGCACCATCAACTATGATCAGGATGTTAACGGCATCA
+AACGGCACCATCAACTATGATCAGGATGTTAACGGCATCA
+GGGATGGTGCTATGAAAATAACATTACTGGTTACCTTGCT
+CGCCTGACCGAGCGTTTTTATCGCGTTGATAAAGCGCGTT
+CCTTGCGCCGCTGAAAATTATCGCGCTGGTCATCCTGTCT
+AGCGCTCACTAAATCACTGAACATTTGTTTTAACCACGGG
+ACCGCCACGCCCTCCTGATAACACAGTGGTAGCATCTCGC
+GCAGGACTGTCGGTTATTTAACTTTGCGGGTATTATGCTT
+ATGGTGATGCCGTACCCATAACACAGGGACTAGCTGATAA
+ATGGTGATGCCGTACCCATAACACAGGGACTAGCTGATAA
+AACGTAATCTGGCGGTATTAACCCTGTAATTAATTTGCAT
+TTGCTGTTTGGTGCGTCTTATCAACTGGCTGTTGAACTGC
+CAGCAATATGGCAATGATGATCGCCCGTTACAGAGTGGCA
+GTCGGATTTGTTCAGTGAGATCTGGGAACTGTCAGAATCC
+CCAGCTGATGATGGCCATTAACCTGCAAATCAACCAGCAG
+TGCCATTACTACCATCCTTAACTACATCATTATTGCTGTT
+GCGGCAGCTGTTGCTGCTCAACTGCATGACGAAGCGCAGC
+TCACTTTTCCGCTACAATTATCAACAAGTTGAATCGATAA
+AACCGACTTGCATAAGATAAACTAATTGTTCATTGTTTAT
+GTAGCGGCGATAAACACTCAACTTGCGTTTAATGCGGCGT
+CAACAGTACGATAAAGACGATCAGGATGCTGATTACCGAT
+TATCCTGCTCGGCAAAATGAACTTTTACTGAGTGGATCAT
+AGTGGGGCCGGCGCTATTTATCAGTCTGCTGATTATCACG
+GGTAGCAACGCTGCTGTTGAACTGGATTATGATCTGTCTG
+CTTTACCTCTCCGGCCGTGATCTTATTTTTAACCGCGTCA
+GAGTAATCCCATAAGCGCTAACTTAAGGGTTGTGGTATTA
+TCGCGTGGTGCAACTGCTCAACGACAGCGGTGAGCATAAC
+GGTCAGCACGTTAACGTTGAACTGGGTGTCAATTTCCAGC
+CGCGATGATCATGATGCAGATCTATCGGTTAAATCAGCAC
+CGCGATGATCATGATGCAGATCTATCGGTTAAATCAGCAC
+CGCGATGATCATGATGCAGATCTATCGGTTAAATCAGCAC
+TGCCGCTCGTGCGCTGGATACCACCTGTTATATGGTGGCG
+CTGGAAATGGATGAGTTTTATCAGAACGATAAAACCACCA
+AAAGACCGTGGTTACGCATATCAACCTGGATGATATTGTG
+GACAAATTGCCGTGGTGATAACTTACCTGATAATACCCGC
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+CACGCAGTACTTTTTTGTTAACGCCGCGGGTATGAGTGAA
+GCCCTGCTGGCTGACCTGTAACTGCAGTTCGACCTTTTCT
+GTTTTCAATTTATCGCTATAACCCGGATGTTGATGATGCT
+ACTTCAAGCATTGCCGTCGAACTTATTGATCATCTTGATA
+TTTTCAACGCCAGCGCCAGATCGCTGCGCTGGGCGTCGGT
+TGTAGCGGCGATGTGGATGATCAACGGGATTAAATTGCGT
+TTCTATTGCGCTGGCGATGATCTCCCTGTTGATTTCAGAA
+TTCGCGGGCACTGCTGTTTATCTCTGGTTTCGCCGCTAAT
+TGTGCTGGCATCGCTGGTCAACTTCTGGTTGAAAAGCGAA
+TTTATTTGTTGTACTTATGAACTTGTTTTATACCGCGTGG
+ATCTTCAATTGTACTGTTGATCTGTTCGTTGACGGCGTCA
+TGTTCGGGAACTGACGCAGATCTTTAGTTTTGATGTTTGC
+CGCGCTGGCGGCATATGACATCGCCGCGTTAATGGATTAC
+AAAACTCTACAGTATGTATAACTCGGCGTTCCTGGACGAC
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+GGTCATTGCGTTGCCATATATCTGGTTGATCTTGCTGTTT
+GGTCATTGCGTTGCCATATATCTGGTTGATCTTGCTGTTT
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+TAGCTGATTAATAACTTTTAACGCAGCTTGTTGGCGAAGC
+GATGATGGTGCGTGTGTATAACAGCATTGATACCGTTCCG
+TACCACACCGGCAATAATTAACTGTTTTTTACCTGTCGCT
+TATTAATGGCACGCCGGTCAACTATAAGGTTTATATGACC
+TATTAATGGCACGCCGGTCAACTATAAGGTTTATATGACC
+TTCCCGCGTTTTGTCTGATAACCATTCTGTTACTGGTGAA
+TAAGTCGGCATCAATAAATAACACTTTTTGATCGGACTGG
+TCGGAAAATACTTCTGCTCAACTATGTCGCGCAGATTCAG
+CATCGCGAAAAGTTTGTTGATCGACAATGTTCATAGTTTG
+TTATGAAGAATTGCCGCCTAACTTGCTTGATGAGCTAAAA
+GATCCTCAACACGCTGGTTAACTTACGCTAATCGCTGACG
+GATCCTCAACACGCTGGTTAACTTACGCTAATCGCTGACG
+GATCCTCAACACGCTGGTTAACTTACGCTAATCGCTGACG
+AGTAAGTGACGCCATCGTCAACATGGATGTATTAATCACC
+CTGCAACCCGCAGCCCGCTAACTGCCTGAAAGATCAATAC
+CGAACAAATCCAGCGCATCAACTTTACGTTTGCCACTGTT
+CGCTGGCGACAAACCGGCGATCAACAATTTATCAGGCTGG
+CTGTTCACTGGCGGTTACAACTATCATGGTAAGCATGAGT
+TGACGTCGAGGATGTGGACAACGCCGATATTAACCAGCGT
+CCATAAAATCGTTCCGCTGATCGCTTATATGAGCAAGTTT
+CCAAGACGGGAAGAAAATGAACTAAGTAATATACTGCTGG
+ATCATACAGGCGGAAACGTAACGTACTGTTATCCGCCAGT
+CATGCATGGCGTCAAAGATAACTTTGTCGATATCCGCCCC
+CTCCGTTGACTTGCTTCTGATCAAAGAGGTTACCCTGCGT
+TAGCAGGGCTGTTTGTATCATCTCTAAGTTATGCAGAAAA
+TAGCAGGGCTGTTTGTATCATCTCTAAGTTATGCAGAAAA
+CGATGGCGTTGATCAAGTTATCCTGCCACTTATGGCGCGT
+TACCGCCACCTGGAAAGACAACGACGTTATTAAGGCGCTG
+GTCGATATTCTCGGTGTATATCTCTACAAAACCGCCTTTG
+CGTCAAAAACATCGCATTTAACTATATTGTGAGGCTTGCA
+GATTTCTCGACCGGGGTAGATCTTAATGGCAACAATAACA
+CGCGCCGTTGATGATACATATCAATACGGTTTGTCGGCCC
+AACCAAGACATGATGTTTTAACACACAATTACCTTCCACA
+GACACAACCGCAGAAGATCAGCATATTGATCATCCCGCGG
+GTTTAATATTCCGCGCCTCAACAAAGAGGATAACCGGGTA
+ATTGAACACAAAGCCTTTCACCTCTTTGTTCATCGCCAGT
+ACCGGTATTGGTGAGGATGATCAACGCGATAGACGTAATC
+GATGCTTCTACGCCCATATAACTCAAAATGAAGGCAACAA
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_16.stat b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_16.stat
new file mode 100644
index 0000000000000000000000000000000000000000..fd08f5e5abbd80839bf324db91db0be78d5e9628
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LAGGING_16.stat
@@ -0,0 +1,5 @@
+A 89.00000 94.00000 77.00000 71.00000 133.00000 98.00000 86.00000 101.00000 91.00000 91.00000 146.00000 78.00000 40.00000 134.00000 62.00000 62.00000 80.00000 131.00000 27.00000 423.00000 249.00000 2.00000 127.00000 114.00000 71.00000 97.00000 93.00000 61.00000 83.00000 69.00000 112.00000 253.00000 175.00000 72.00000 108.00000 95.00000 94.00000 105.00000 136.00000 86.00000
+C 109.00000 88.00000 146.00000 121.00000 84.00000 141.00000 117.00000 88.00000 95.00000 88.00000 99.00000 109.00000 60.00000 198.00000 111.00000 73.00000 84.00000 51.00000 62.00000 0.00000 9.00000 423.00000 15.00000 147.00000 120.00000 101.00000 77.00000 57.00000 31.00000 26.00000 41.00000 41.00000 88.00000 160.00000 118.00000 90.00000 132.00000 122.00000 100.00000 86.00000
+G 134.00000 148.00000 97.00000 137.00000 127.00000 92.00000 134.00000 123.00000 89.00000 146.00000 93.00000 75.00000 243.00000 53.00000 89.00000 176.00000 160.00000 14.00000 117.00000 0.00000 7.00000 0.00000 83.00000 59.00000 91.00000 122.00000 75.00000 219.00000 110.00000 28.00000 98.00000 67.00000 63.00000 86.00000 121.00000 158.00000 116.00000 102.00000 103.00000 124.00000
+T 94.00000 96.00000 106.00000 97.00000 82.00000 95.00000 89.00000 114.00000 151.00000 101.00000 88.00000 164.00000 83.00000 41.00000 164.00000 115.00000 102.00000 230.00000 220.00000 3.00000 161.00000 1.00000 201.00000 106.00000 144.00000 106.00000 181.00000 89.00000 202.00000 303.00000 175.00000 65.00000 100.00000 108.00000 79.00000 83.00000 84.00000 97.00000 87.00000 130.00000
+Other 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_0.seq b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_0.seq
new file mode 100644
index 0000000000000000000000000000000000000000..f2f0775718eac11aeb3d00888531c311caa851a2
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_0.seq
@@ -0,0 +1,370 @@
+TGCTGCCGCTGATAAGAGTGATATCTGCCATAAACCGCCA
+TGAACTTCACTCAACAGTTGTTCGCGTTCTTCTTCTAATA
+TGAAGCGATTACCGCCAAAGTTGAAGCGGCGATTAAAGAA
+AGCAACGCAATATCTGATCGATAAAGGTCATACCCGTATC
+CTGTTGGCGTTTACCAGGCGTTATATCAGGCAGAGTTACA
+CTAATATAAACAACGGCAAGATCAGCATCCATATAGCCAT
+CTAATATAAACAACGGCAAGATCAGCATCCATATAGCCAT
+ATTGCAAAGAGAACTGAGCGATCATTAGCCCAATAATCAC
+TGAAGAAGGCCATCGCCGCGATCCACGGCAAACCCGCCAT
+CAGTCAGCGTCACCGTGCGGTTATCGCGCACAAACAGCGG
+TACAGCACCTTAATGATGTGATATCCGAACTGGGTGTGCA
+TACAGCACCTTAATGATGTGATATCCGAACTGGGTGTGCA
+TACAGCACCTTAATGATGTGATATCCGAACTGGGTGTGCA
+GGGTTCCGGTAAAACTCGTGTTATCACCAATAAAATCGCC
+GGGTTCCGGTAAAACTCGTGTTATCACCAATAAAATCGCC
+CTCGGGAACACTAACGCACGTTCCAGCGTCAGCCCGTCAA
+AGTCATCGGGTAAATCGTAGTTAAAGACGTGCGTCACTGC
+CCTGTCAATAAACCGACACGATGACCATCTGCTGCCAGGT
+CCAGGCTTATTCCTGTGGAGTTATATATGAGCGATAAAAT
+CGAAGCCTATAAAGAGTTTGTTATGCAACTGGCCTCGTGG
+AAATGATTAACAACATCCAGTTTATCCCCGGAGACTTTAC
+AAAACAGGTAATTGGTGTCGATATCAACCAACATGCGGTT
+CGTGCTGGTGATGCTGGTCGATCATAGTCAGTTCAAAGTT
+AGATTACCTCCATCAACCAGATGTACCTCGAGGCGGGCAA
+GATCACCGACAAAACGCGCGTTATCGTGCCGGTCCATTAC
+TTACGCCTGTGATCACTATGTTTATCCGCAATATCGGCTG
+AGGTAAAGACGATCAGCGTGTTATCAAGCTGACCGTTTTT
+ATCAGCTTTTCAACTTGCTGATAATCGCCTTCCGCCAGTT
+TACGCCTGCTTAAGCGTCTGATCAAAGCCATGAACCTCGA
+CGCAGATAATCAACGCGAAGATCAATGGTCCCCATCCGCG
+TCGCTTTAATGATTATGTTGATGATCTGGCGGCATTCTGG
+TCGCTTTAATGATTATGTTGATGATCTGGCGGCATTCTGG
+AGAACGAACTGACCCAGGAGTTAAAACTCCAGGAGTTTCA
+AGAACGAACTGACCCAGGAGTTAAAACTCCAGGAGTTTCA
+CAAATTCCACAAACAGGTAGTTGGGGAACAATGGCTCACT
+CCACTTCGTTGACCATCGGGATCATCATGCGGGCGATAAT
+CCTGGGGCATCAAATACCAGTTCGGCAATGCCATCTTCCA
+GCCCATTCGCTATCGGCGCGATAAAAGACCGGCGGCTTGC
+TCATGCCCATAACCTTATTGATGTGGTGGTGGGTAAATTG
+AATTGTCGTGATATGGTGCGATATCGGCGTCATCCAGGCG
+GTCTCAGGATTAATAAAGCGATCGTCATTGGGATTGATAA
+GCAGTACGCAGAGCCATATGTTCGACGGCATAAGTTTAAC
+GCCTCGTCATAAAATGAGCGTTATCGCGCCATTTATTCCA
+CGTGCTGCTCAACAGCGTCGATAGCGTCTTGCTTCAGCTC
+CGTGCTGCTCAACAGCGTCGATAGCGTCTTGCTTCAGCTC
+CAGTCGCCAATCAGCACCAGATATCCGTGATTTGCCGCCG
+GTTGTTTGTTGATCAAGGCGATGAACAGGCATTACGGGCA
+CCGTCGGTGCGGGCTTGCCGATCAACCACACCGTGCGCGA
+GCTTAATTAAGATCAATTTGATCTACATCTCTTTAACCAA
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+ACATCTTCTTTAATATCCAGTTGAGCGAGAGTTATTGGCA
+ACTCACCCTCATCGGTGTAGATAACAGACAATGCGCTGCA
+TGTTCAGGGTTAACATAATGATGAATTGCGCTTCATCATC
+TGTTCAGGGTTAACATAATGATGAATTGCGCTTCATCATC
+AGCTGCTGACTATTGCAGAGATCTCCCGCCATAACGCGCA
+CACGACGCTTTAAATAAGCGTAACTTATGGAAATGTTAAA
+GGGTGACGCCTGCTGATCAGATAGACATTATCACCGGAGC
+GCCGCTGGCTTACAACAAAGATATGCAGGAAGACAAAGAA
+TGTTGATCGAAAATGATGTGATACAGGTCATCGCCATCGT
+CCACTGACGCATACTGTGAGTTATGATTATGTCGATGCGC
+GCCTCACCCGTTAACCGTTGTTGTAATGCTGTCAGTTGAA
+GGAACACATGTCCCAGCGCGATATAAGAGGGGCGTGCTGC
+CATTGAATGTAAATTACGCGTTAACAGCGCAGAACTCAAG
+CATTGAATGTAAATTACGCGTTAACAGCGCAGAACTCAAG
+CGCTGAAAGAGATCAAAGCGTTAAACCCGGCAATTCCGGT
+TCGCGTTAGTTCTGCTCGCGTTCGATAGCGCGCCAGCCGA
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+ACGAAACGCGTACCCATGTGATCAACGTCAGCCACCATCT
+ACATTTAGGCTTACTGGGAGATATGCAGCGCCTGAACTCG
+TACGGTCAGGTCTACGGTGGTTATCTCGAAACCATGTTTG
+AACATACACAAAAAATATAGATCTCCGTCACATTTTTGCG
+TGTGCGCTTGATCATCGTCGATCATAAATCGCCACTGGAT
+TGTGCGCTTGATCATCGTCGATCATAAATCGCCACTGGAT
+ACAAGTTGGGATAACGTAAGTTGAGGGTGCAGCGGCATAA
+TGGCAGCGATAAACGACAGGATGAATACCACCGCCAGAAT
+GGAATGTACTCACCCAGACGATCAAACAACGCATACAACG
+AGAGGTGATTAACCAACGCGTTAACCAGGTGGCGGAAGTG
+TTACGTTATGTAACGGAGAGTTCGGCATGTCACACCCCGC
+GACCAATGCTCATGTCGGAGATAGCAGGCAGCGGCGTATT
+AAAGCAGAATGATCGGGAAGTTACAGCTCGCCGCGATGGC
+GCATGGTGCATGACGAGTCGTTATGCATCGGCTGTACCGC
+ATTGCAGGATAAAATCCGCGCTAATCCACAAAACAGCGAA
+CCATCTGATTAAAATGATTGTTGTGCCGATTGTGATCTCC
+TGCGGCCGCGTCACCATCAGATGACAGTCGAGCGGTTTAG
+CCCTGGACGTGATCCATATGATAATGCGTCAGCAAAAACT
+CCCACTCGTCACCGTGTTTGATCTGGATTTGACCTTCGTC
+CCGCCTTCGGTCATCACGCGATCTACCGCGAGGTTAAGCT
+TTAGTGTTATAAACTGAAAGTTAATTTATTCATAACCAAT
+GCCTGACGATTCACAAAGCGATCGATAAACAAGCTGATGG
+ATGTGCCTGATAAAAATTAGTTAATAACGCACCACGATGC
+ACATGTTCCCGCTTTGGGCGATATACAGCAGAATCGCGCT
+AACCTTCGCACACTTCTTTGTTAGCAGTGATGCCGTTAAT
+AGTGCCTAATAATGACGTCGATAGCAGGCCAATGCCCTGG
+AGTGCCTAATAATGACGTCGATAGCAGGCCAATGCCCTGG
+GCAGAATACCCACCAGCAGGATCATCACCGGCGCAATGAT
+GATCGCGTTCAATCGGGAAGTTAGCTAACGCTTCAACCTT
+GATCGCGTTCAATCGGGAAGTTAGCTAACGCTTCAACCTT
+GATCGCGTTCAATCGGGAAGTTAGCTAACGCTTCAACCTT
+CAATGACAGAAAGCAGGGCGATCAACATCAAAATTGAGCG
+ACGGCGCGCCAATCATCATGTTCCACAGCATATGGTTGGT
+CGCCACCCTGCAACAATGAGTTCAGCAACTCACGCTGAGT
+CGCCACCCTGCAACAATGAGTTCAGCAACTCACGCTGAGT
+GCGTGCTGGCAAATGCGGCGTTAGCAGGAAGGTAATTCAT
+AAGTGCTGTTGAAACGTAAGTTCTCTGACCGTCTGCGTTC
+TCGATGTGCGTATCAAGCAGATCAACCTGCCGACCGAAGT
+TCGATGTGCGTATCAAGCAGATCAACCTGCCGACCGAAGT
+TCCGTGAAGATAACACACTGATCACCAAAGACACCTCACG
+TCCGTGAAGATAACACACTGATCACCAAAGACACCTCACG
+TCCGTGAAGATAACACACTGATCACCAAAGACACCTCACG
+GCAGTTCCATGATCATGAAGATGAAAGTGGACCAGTTTTT
+GGCGCTGGTCAATGCGATTGTTGAAACCGGCGTGCGCGTG
+CGGGGCTGGCGATCCCGGCGTTAGGCACCACGCACGCCGA
+CAATCAGTTCATTAATGCCGTTATACATCGCTTTCCAGGT
+ATGCCACTTTAATTAACTAGTTATTAACATTAAAAAGATG
+CACCATCAATAACATCAAAGTTATAAGTGCGGAAACCATC
+CACCATCAATAACATCAAAGTTATAAGTGCGGAAACCATC
+CACCATCAATAACATCAAAGTTATAAGTGCGGAAACCATC
+TTACCGCTGTCATTACTGAGTTGTAAGTCGACCACACCAA
+GTCCGAAGTTAACCGTCAGGTTATGCGTCTGCAAACAGAG
+GTCCGAAGTTAACCGTCAGGTTATGCGTCTGCAAACAGAG
+TTGCCTTCATCAGCCAGCAGTTTAAGTTTGATTTTGCGTG
+TCCGTAACTTCAACCTTGCGATGATAAACCCCATCTTTAC
+TCAGTATCGATAACTACCAGTTGTATAGCCTGGGCCACTA
+TCAGTATCGATAACTACCAGTTGTATAGCCTGGGCCACTA
+GCGGCGCTGGATATTGCCCGTTATACCTCGCCAGATCCCT
+AATTGCCGAAGAAAATGGCGATATGGAGCGTGATTACGCC
+AATTGCCGAAGAAAATGGCGATATGGAGCGTGATTACGCC
+TCAGGTCGATCAACATGCAGTTGAACATCGGGAAGAACGG
+TCCATATTTTTAAGAACAGGTTATCCACAGAAATTGGGAA
+CTCAAAACGCTCAACGTAAGTTAACACGTCGCACAGTACC
+CTCAAAACGCTCAACGTAAGTTAACACGTCGCACAGTACC
+GTGAACGTAATATCGCTGAGTTAAAAACTCGAGATTTATT
+TAAAAACCATAACAGGTTAGTTATCTTCGTCTGTCAGCGG
+GTGATGCGCTAAAAAATGCGTTAATGTTGAGTTCCTCGAA
+GAAGCAGCACTAACATATTGATGACCAAACGTAGCCTCGT
+GAAGCAGCACTAACATATTGATGACCAAACGTAGCCTCGT
+ATCAGCTTTGTATCATCACGTTTTCCGGCATGTTCGCCAT
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+GGGTGTCACACGATGGAGTGATATCAATACCAATCGCCAG
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+TGCCGCCTTCAAACAGCACGTTATCCGGCACCACCACCGC
+TGCCGCCTTCAAACAGCACGTTATCCGGCACCACCACCGC
+TGTTGGGATCATCCGGGTAGTTATTTTCCGCCGCACAGGC
+ACGCGGCGGTAAAGTGGTAGATAACGTGGTGCAGACTATG
+TGAGGTATTTCCACGCCGTGTTGTTCATCGCTAAATGGTC
+TCCGCTGCTAAGCAAGTTAGTTAATGACGCGAGCGACCAA
+TTTAGCCGGTGAAAGTGAAGATCCACGTTCTGTTTGTGAA
+GAAGACTATAAACTTGGGCGTTTATGCGGTCGTTATTTCC
+CGTGCTGCAGAAACTGGTTGATGAAAAACACGGCCAGGTG
+AGACTACCTTCAACGACATGATCAAAATCGCACTGGAATC
+AGACTACCTTCAACGACATGATCAAAATCGCACTGGAATC
+TACACTCTTCCACCGCCAGGTTAAACCACGGGTCGTAAGA
+CGGTGTTGCCGATCTTCATGATATCCAGCCCGCCGGAAAC
+CCGGGTTGACTAACGAAGAGTTAGCGTTGGCTGACGTTCT
+TACATCCCCCTAACAAGCTGTTTAAAGAGAAATACTATCA
+AGGTGGGGGAGATAGATTAGTTGTACATTACCACGATTTT
+CCACCTCAATGATCACCGAGTTCTCCAGTACCCGTCAGCG
+CTTTCCGCTTCGTTCACCTGATCAGAGGTCGGGTTTTCCG
+ACGATCATGTTGTCGCCGCGATCGTCCTGATTGATACCGA
+GATCCGGTGAAGCCAGATAGTTAATCAGATCGTTGTATAC
+CCAGATAGTTAATCAGATCGTTGTATACGCTATCGTAAAT
+CCAGATAGTTAATCAGATCGTTGTATACGCTATCGTAAAT
+TGTGGCTGGCGAACTGGAAGTTACGTCCTTCAGAACCGAT
+TGTGGCTGGCGAACTGGAAGTTACGTCCTTCAGAACCGAT
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+GCAGACGGCCTTTGACATAGTTAAAGGTGGTTTCGTCCGG
+CAACGCCGGTGAAAGATAAGTTTAAACATCCCGCGACCCG
+GCGAGGTTGTCTAACATGAGATCCAGAGAGCCGGATGCCT
+CGCCATTCGTTATCATGAAGATAACCCGCCCGCGCTGGCG
+CGCGTCCGGTCAAACAAAAGGTAAGCCGTCGTCGTTACGA
+AACTCCTTTAAAGTGGGAAGTTATACGGTCGTGGATGCGT
+AACTCCTTTAAAGTGGGAAGTTATACGGTCGTGGATGCGT
+AACTCCTTTAAAGTGGGAAGTTATACGGTCGTGGATGCGT
+ATTGCGTACCGATTATGTTGATCTGACGCTAATCCACTGG
+CAATGAAGCCAATCTGATAGTTGATAATTTAATTACAGAT
+AGTCGCCGTCAAACATTTTGTTCAGACGCTGCATCATATT
+ACTGCGTAATATCATCATAGTTAAACAAATCAGGAATATA
+ACTGCGTAATATCATCATAGTTAAACAAATCAGGAATATA
+ACTGCGTAATATCATCATAGTTAAACAAATCAGGAATATA
+AGACGCCGCCGATCAGGTTGATCGCCAGAATCATCATCCC
+CTTTGGTGACGACAATAAAGTTGATTGTCAACAGCGTCAG
+CGTAGTCTTTACCGCTGTCGATCAGTGAACGGATCAGGCA
+AGGTGTGCCACAGGGCGGTGTTATATCGCCGCTATTATCG
+TATGGTTGTTAATCCGTGCGTTAGCCAGCAGTGTGCCGTC
+TATGGTTGTTAATCCGTGCGTTAGCCAGCAGTGTGCCGTC
+TATGGTTGTTAATCCGTGCGTTAGCCAGCAGTGTGCCGTC
+GGTTGTTATAGACGCCCAAGTTATAGCTCAGATTACTGCT
+GGTTGTTATAGACGCCCAAGTTATAGCTCAGATTACTGCT
+CCTGCTCGTGCGACATGTAGTTAAACAGAATCGCCGGATG
+GGATGCCGAACAAGGTTTAGTTATACCGCCGTTTGTGGAG
+TGTTCTGCTTCATCAGCAGGATATCCTGCACCATCGTCTG
+ACCACAGATGAAACGCCGAGTTAACGCCATCAAAAATAAT
+GCATCTTTATTTTCAGCAAGATATGCAGCAAAGGCTTGCT
+GATAAAAGATAAATCAGATGATGAATGGTGGCGTGCATTG
+TCAAACCGTTAACCGTGTCGATCCACATCATTGTCTGGCT
+TTGACCATTGGCAACGTGCGTTAACGCATCGCTGTGCGAT
+GCAGACACATAATGCCAAAGTTGAGTTTCAGCAGCCGCGG
+GCAGACACATAATGCCAAAGTTGAGTTTCAGCAGCCGCGG
+GCGCAATCAGGAACAGGCTGTTATGCAGAACGAAGTCCGC
+GTTTGAAGTTTATCCGGAAGTTGAACTGCAGGGTCTGGAA
+GTCTGCCGGTTGTCGCAACGTTGAATGAACTGAGCGAAGA
+CCTTTTTTTGTCTCGCTAAGTTAGATGGCGGATCGGGCTT
+CCGTTAAGGTGATTCCACTGTTAACAAACAAGGAGAAAAC
+CCCGTACCAAAATCATCAAGATAAATTTCATGGCCCGCCT
+CCCGTACCAAAATCATCAAGATAAATTTCATGGCCCGCCT
+CGCCTGGTGCCAACATACAGTTATCACCGATGCGAATAGG
+TCTGTCACCTGACCGAATAGATCAGCGAGAATTTGCTGGC
+CTTAACGGCTCCTGTTTAAGTTAAGACTTGGACTGTTCAG
+CCGCTACAATTATCAACAAGTTGAATCGATAAGAGGCGGT
+TGATTTGCGCCAACACCACGATCGCCAGCAGTGCCGCAAG
+CCCGCATCTATAAAAAGGAGTTAACAAAAGATGTTAGATG
+CCCGCATCTATAAAAAGGAGTTAACAAAAGATGTTAGATG
+CCCGCATCTATAAAAAGGAGTTAACAAAAGATGTTAGATG
+CCACAAAGTCAGCCCGTATGTTGGCCGTACCATTGGCGCG
+CGACCGCGATCAACATGACGTTAACTGGCAGCTGTCTGGC
+GGTTAACCATCAAACCAAAGTTTAGCCACAGCAGGGTCAT
+CTTTACGCTCGACCAGATAGTTGAACAGACGCAATTCCAT
+ATAACATTGTTAAATGTAAGTTAAAACACCATTGTCAGGG
+ATAACATTGTTAAATGTAAGTTAAAACACCATTGTCAGGG
+CCGCTGGCTGACCTTTATAGTTGTACTTCTTCGGCTGCTG
+TCGGCGCGGCTATTGGTGCGTTAACCAGCGGGAAGCTGGC
+AGCTTCCTGTTATTAATAAGGTTAAGGGCGTAATGACAAA
+GCGAGGGTTTAACTCACATGATGATACTGACTGTTGCTCA
+GCGAGGGTTTAACTCACATGATGATACTGACTGTTGCTCA
+GAGAGGGCCAGGACATAGCGATCAAAATCGCCATACTGTT
+CGTGCGCTGGATACCACCTGTTATATGGTGGCGGCGGGGG
+AGTTCACTGCATAAAACCAGATCAAAGGAAACACCATGTA
+CGCACATTTTATCCTGTGGGTTAATACGCATCGCCACATC
+GGTAGCCCGTTAACCACCAGCTACCAGTTCTACGGTACCC
+CACCCGGTGTTAGCAGGGCGTTTAAAACCACTTTGTTAGA
+CAGTAATCAATAACAGAAAGATAAATGTTGATAATGCCGG
+CAGTAATCAATAACAGAAAGATAAATGTTGATAATGCCGG
+CAGTAATCAATAACAGAAAGATAAATGTTGATAATGCCGG
+CCAGACCGTAAATCCATAAGTTACGGCGCAACATGGCAGA
+CCAGACCGTAAATCCATAAGTTACGGCGCAACATGGCAGA
+AAAAGACGATAATCAAGGCGTTGAAAATCACCGCACTGAG
+AAAAGACGATAATCAAGGCGTTGAAAATCACCGCACTGAG
+AAAAGACGATAATCAAGGCGTTGAAAATCACCGCACTGAG
+ACTCAATATCATCAGGAGAGATATTCCGCCACCGGACCAA
+CAATGGTCAGATAATACGCGGTAGGATTTTTCAGTGTCAG
+GGTCATCACCAAACAGGGCGATCTGATTTGCCTCGACGGC
+AAGAACGTGTAACCGAAGCGTTCAAAATCATCCTCTCTGA
+TCACCCGCGTTTAACGTTAGCTGAGGCAATTGCAGCGTTT
+CCGCGTGCAATATCAACCTGATCGTGCCAGGACCATTCAC
+GATTGCGCTGTATTTCGTCGTTATCATCTACGCTGCCGGT
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+AGATAGTTATACAGCAAGCGCGCACCGACTCTGACAATCG
+GGAAGTCCCTGAAGGTATAGTTAAAAAGAAAGAAAAAACG
+ACACATAACATAAACAGGAGTTAACCATGGAAAGTGGTCA
+TCCTGCGGTTCAATACCGAGTTTAATAAATTCCGGGATCA
+TCCTGCGGTTCAATACCGAGTTTAATAAATTCCGGGATCA
+CGTCGCGGATAATCCCTAAGTTAATTACCTCGCATCCCAA
+CGTCGCGGATAATCCCTAAGTTAATTACCTCGCATCCCAA
+AGTCCGTCAATTATGCAGCGTTATATCAGTATGAACGTGA
+TTGATGCGCGCCAGTTGGCGATCTACAGAACCCGGACGCT
+GCCAGGCTATCACCGATATGATCTACAGCTCACAGGTTGC
+GCCAGGCTATCACCGATATGATCTACAGCTCACAGGTTGC
+TGCGAGCTGTATCACTGATGATCTCCATTGCCGGCGCGCA
+CCCGAAACTATTACTGCTCGATGAGCCGATGGGCGCGCTG
+AACGCTCCATGCTGCGGGCGATCATATCCAGCATCGGGTA
+ACCGCCAGTTCTCCGCTAAGTTGTGCTTCAGCGCCAGCGG
+CCACCAGCGTTACCGGATAGTTACGCCACTCATCGGCGAA
+AGCCAGAGATAATCACCGCGTTTTACATCGCGCGTCAGCC
+GCACGCCGGTCAACTATAAGGTTTATATGACCAGCGACGT
+TTACTTGAATTAGAAACGCGTTATTGCCGTCAGGAACCGT
+CTTTAAGGCCTAACCCAACGTTATCAATCACCGATTTCCA
+CTTTAAGGCCTAACCCAACGTTATCAATCACCGATTTCCA
+CTTTAAGGCCTAACCCAACGTTATCAATCACCGATTTCCA
+CGTTCTTCACTATTGGAAAGATGAATCGTCTTCTCAACGC
+GGGATTTGTTCAGGGATTAGTTACGCAGACGCGGGGCCTG
+GGGATTTGTTCAGGGATTAGTTACGCAGACGCGGGGCCTG
+GCGACGACGGTAGCGAGCTGATCTCCGTGCAGGTGCGTTA
+AGTAACTATAACCGTAATAGTTATAGCCGTAACTGTAAGC
+AGTAACTATAACCGTAATAGTTATAGCCGTAACTGTAAGC
+GGAAACGGTTATCGCCATAGATAACCAGTGGACCTCAACC
+GCTACCTGTTTAACCTATAGTCATTAAGCTGGCGTTACCG
+TTTTATGGCTAACGCCGCTGATGTGCCGCAGGTCAAAGTG
+ACGGGTGGTGAACCAGATAGATAAACAGCGATGCGTTAAC
+CGTTCCCCTGTAACGAGAAGTTTTTCGTCACCTGGTAGCG
+GGATACCATCAACCATATAGTTATCGATCTGGAATCCGCG
+GGATACCATCAACCATATAGTTATCGATCTGGAATCCGCG
+TGGCGCTGCGGAAACGGGAGATCATTTCGATACGTACCGG
+AAGCATGGTGTGCTCGTAAGTTAACTGCACACCGCGGAAC
+TTTGTCTGCTATCAGCGTAGTTAGCCCTCTGGTATGATGA
+TCATGCCGGTTAAACCAGAGGTGATAAGCACGCCCAGCGT
+TCATGCCGGTTAAACCAGAGGTGATAAGCACGCCCAGCGT
+CGACGCGCTTAGTCAACAGGTTAATCAGCACGTAGAGTCC
+GCGTGCCACAAATTCCGGCGTTAATACCCGCATATACTTC
+GAGCTTCACGCAGCGTATCGATATACAGCTGTTCTTCATT
+CTGTTTGTATCATCTCTAAGTTATGCAGAAAACACGGAGA
+CTGTTTGTATCATCTCTAAGTTATGCAGAAAACACGGAGA
+CTGTTTGTATCATCTCTAAGTTATGCAGAAAACACGGAGA
+AATGACGGTCAGCCCATTGGTTAATTTCATTTTCGCCCTT
+GATTGACGGCAAACTGCTGGTTAACAACATCGAAGAAGTC
+TGTGGCCTGCTGACCCAAAGTTATCAGTTCTGGCGCGAGG
+TGTGGCCTGCTGACCCAAAGTTATCAGTTCTGGCGCGAGG
+TTTCGCCGGTTATCGATAAGCTATTGTTTGCTGCCACTAA
+TGGAGAGGGTGATAACGTTGTTCAGACCTTCTGCGCCGCA
+AGCTGGCCATAAAATACCAGTTATCAATTACACTGACGTG
+TGAGTACGATAATCAAATAGATAAAGAGCAGAAAAGGATG
+TGAGTACGATAATCAAATAGATAAAGAGCAGAAAAGGATG
+TCCTTGCGCACAGGATATAGTTATACCAGCGTTATTGTCG
+GACTATCACTTATTTAAGTGATATTGGTTGTCTGGAGATT
+ATGAAGTATTAACGCTAAAGTTTGATTGCCGCCCATGCGA
+GGCATCATCTCATCAAGATGATTGTTTACCAGACGGTAGA
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_0.stat b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_0.stat
new file mode 100644
index 0000000000000000000000000000000000000000..dd51b0245f847a7c0f41ec8788e19f94176353ce
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_0.stat
@@ -0,0 +1,5 @@
+A 80.00000 76.00000 98.00000 75.00000 61.00000 79.00000 62.00000 55.00000 91.00000 57.00000 168.00000 283.00000 133.00000 63.00000 139.00000 102.00000 118.00000 99.00000 195.00000 0.00000 125.00000 1.00000 225.00000 166.00000 167.00000 82.00000 181.00000 61.00000 62.00000 157.00000 107.00000 77.00000 97.00000 88.00000 74.00000 73.00000 60.00000 131.00000 82.00000 75.00000
+C 138.00000 102.00000 126.00000 112.00000 96.00000 153.00000 147.00000 93.00000 51.00000 68.00000 65.00000 33.00000 120.00000 214.00000 86.00000 74.00000 77.00000 52.00000 81.00000 0.00000 5.00000 1.00000 75.00000 17.00000 86.00000 172.00000 70.00000 46.00000 198.00000 88.00000 94.00000 105.00000 107.00000 85.00000 142.00000 79.00000 144.00000 91.00000 125.00000 124.00000
+G 79.00000 136.00000 62.00000 94.00000 147.00000 66.00000 69.00000 113.00000 72.00000 36.00000 44.00000 17.00000 24.00000 35.00000 84.00000 128.00000 111.00000 94.00000 14.00000 370.00000 6.00000 1.00000 53.00000 42.00000 59.00000 58.00000 79.00000 151.00000 54.00000 64.00000 110.00000 118.00000 91.00000 110.00000 88.00000 115.00000 77.00000 92.00000 89.00000 96.00000
+T 73.00000 56.00000 84.00000 89.00000 66.00000 72.00000 92.00000 109.00000 156.00000 209.00000 93.00000 37.00000 93.00000 58.00000 61.00000 66.00000 64.00000 125.00000 80.00000 0.00000 234.00000 367.00000 17.00000 145.00000 58.00000 58.00000 40.00000 112.00000 56.00000 61.00000 59.00000 70.00000 75.00000 87.00000 66.00000 103.00000 89.00000 56.00000 74.00000 75.00000
+Other 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_16.seq b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_16.seq
new file mode 100644
index 0000000000000000000000000000000000000000..8bae679cc2704bf90a1d18b44fb67976076bcbd0
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_16.seq
@@ -0,0 +1,422 @@
+TTTGCGAGTAGCGCAGATTATCTTCGATATAAGTGTTATA
+GAGCGTTGTAGGCCTGCTGATCACTATCGTTAACTTCGCC
+GCTGGAAAATGGCCGTGAGAACCATTGTTTAACCTTTTGT
+CAACAACAAAAAGCCTTTCAACGTGCCGTTAACTGAACGA
+GCTGGCATTAACGCCGGTTATCGCGCAATTAAATGGTTCC
+TTTCCTCAATGTGATGTACAACTTTGAGATGGAGCGCCTG
+CCAAACGCTTGATGTATTTAACAACGAAATTGACTACCGT
+GATGCGCCGCGCGAATTTTATCTTTGTATTTATTCCACAG
+GCGGTGTATCGAGGCCAATAACATGGACTTCATCTTTGCC
+CGTAGGCGCTCCTCGCCATAACTACGCGGTTGCCAGCCGT
+TCAGACGCCAACGGTGGATAACTCGGCACTGATCAAACAG
+AGGCGTGACCCCCAGTAATAACGCTATATATACTACCAAC
+AGTAACCAGTGCAGTTAATAACAATGGAGTTACAGAACTT
+TTTTGATGATGTAATCGTCAACGCGATCTTCATAGTCACC
+ACAATGATGAGCGTTAATTAACTATTTATTAATTAGTTTG
+ACAATGATGAGCGTTAATTAACTATTTATTAATTAGTTTG
+AGTGATCGCCATGAGCTTTAACACAATCATTGACTGGAAT
+CCATCGACAGATGGCTTTGATCTTTGTAATAGCAGTCTTC
+CCATCGACAGATGGCTTTGATCTTTGTAATAGCAGTCTTC
+TGCCAACGGTCGTCTGCTTAACGATCTGGTACGCGATGCC
+TATCGAATCCCCCCGCTTTAACAGCCGCATTAAACGCCAA
+TCCGCCGATAATGCCGTTGATCAGCGCAATAATTGCGACA
+GCGCATACTGCTGCTGTTTATCGCTCTGTTCACCTTTGGT
+GCGCATACTGCTGCTGTTTATCGCTCTGTTCACCTTTGGT
+GGCTCGTGGCGAAATTCTTAACTGCCTTGATCGCGTTGGT
+GCACCGCAGGCTTAGTGAGATCTTTTTCGTTATGCAGCTG
+GCACCGCAGGCTTAGTGAGATCTTTTTCGTTATGCAGCTG
+CGAGCACCGTCATCGCCACAACTTTGCTTTCGAACAGCCA
+GTCTTCGCCCCCTCCAGTTAACTTATGTTTAGCCCATGCG
+GTCTTCGCCCCCTCCAGTTAACTTATGTTTAGCCCATGCG
+ATTTGTGTTGTGCCCAAATAACTATTATTGTTTGCCAGAC
+CTAACTGCTGCGCCTGCTTATCATCAGGATTATTTGCTAC
+GATCCAGTCTTCTTTAAAGAACATTTTGATCATGTCCGCA
+CATATCGGGAGGCTGCATGAACATAGTGATCACCGGAGGG
+AGAGCATGAAGAAGAGATTAACGTGCCGGATGATGAACGG
+CAGCGCCTTTGGTCGCCAGAACAACTTGATACGCGTTTGC
+AAGGCGTACGTAAACCGCTAACAATGGCGATACGATCGCC
+GTTGACGAGTGAAATTATGAACGTGCAAAACAAATCGCCG
+GACGCTCCGTTAGATTGCTAACGCCAAAATTAGCGCTGAA
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+TAATGTTTCGGAATGGTATAACGCAAGTGATCCAGGGCAA
+GGAAGCTGCATGGAAGTACATCATTATTTGTACTGTTGGT
+ATCACCCTGAAGCTAAATAACCTTGTCGATAAAGGCCTGG
+CAAATTGTTCGCGCCATTGAACTGGCGAATCAGCGCAATG
+GGCCATTCTCCGGCTGACTAACGACGCTCCTGAGTACCTG
+CGGCATTCCTGGCATTACTAACTATATCTTTTCAGAAACT
+CGCATTAAGCGGTGTGATGATCAACGCTGATGCGGGTTTA
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+TTTTCATAAATCCCTCATTAACAATACGATTAATTTTCAT
+CATTGGTTTGAGTCTGTATAACTTCCTCAACATCCTCAAT
+GTTCCAGTTGCTGCTGTAGAACGTGATGTTGCTGGCGCAA
+TGGTATTACCGCGCCGATGATCTTGAGCATAAAACCGCGT
+GCTGGATGTCACGCTGGATATCTCGCCGTTTGAAGGCGAT
+GCTGGATGTCACGCTGGATATCTCGCCGTTTGAAGGCGAT
+TGCCAGCGAACCGAAACATAACATTGAGGTACGGCGACCA
+TGCCAGCGAACCGAAACATAACATTGAGGTACGGCGACCA
+CAAAGTTATGTATCTTTTCATCTTCACGTTTTAGTACCGC
+CAAACCTGCGCTGAGTGGTAACTAATAATAAAGTTGCTCT
+CAAACCTGCGCTGAGTGGTAACTAATAATAAAGTTGCTCT
+GACCTTAAGCAGTTTGCTTAACGCAATGTTGAGCTCGATG
+GACCTTAAGCAGTTTGCTTAACGCAATGTTGAGCTCGATG
+CAAAATTGAACTGCAGGGGATCGTCTTTTTATCAGCACCT
+GGCTGAACACGAAGGGCATATCGCCGTATTCACACTTGAT
+CATCCCTTCTCTTGTATCTAACATTTAGTTGTGAATAGCT
+TAAAAGCATTCAGATATATATCATTTCTACAAACATACCC
+CACCCCAAGATGCCCGCTTAACGTACTGCTGAATGAGGCT
+GCAGTCTATTTACATGCTCATCATCCCGATATTCTGCGTT
+CAAACAATCTCTTTGCGTTACCGCAGCGTTAGTTGGTGCC
+ATCGACTGTGAAGCTATCTAACAACGGCATTTAGCCACCT
+GGCAAAAGCGGTGCTGGATATCTCCGTAGAACGCGAAGCC
+AAGGTCACATTTGACGGCGATCGCGCGAATACCTGGCACC
+GATCGCCTCGTCCGGTGAACTCATATGGACGGATCGGTTC
+CAGCAGCGCGCCCACAATTAACAACGCATTAAGCATCAGG
+CAGCAGCGCGCCCACAATTAACAACGCATTAAGCATCAGG
+GATATGGTGCAACATGTGGAACTTTGCGATAGCGGGCATC
+CAGCGCCATAAAGCCGATGATCATCCACTCAACGTTGACG
+TCACGCTGAACGGCACTTTAACTTTGGTGTTTTGCTGATC
+TTGCGCTCAGGGTAAGATTAGCGTGGCGTTATATCGTCTT
+CCAGGATATCACTATCGATAACTATGAATTCACTACTGAC
+CCAGGATATCACTATCGATAACTATGAATTCACTACTGAC
+AGATCACTGATAGATACATAACTTGTGTGTATCTTTCCGC
+TTACCTGGCTAACCACTTTAACGCACCGGTTATCGCGTGG
+CCGGTAAAGTCAGCGTTATAACGCATGACATGCGGTAACA
+TAAACGCCACCTGCGGGATATCATGCGGATCAACGCAAAC
+TTCTTTTAAAAAAAGGGGTAACACCGTAATCTCATACCGG
+AGATAAATATCGCCAGTTGATCATGCTGGGGAAACAGCTT
+CGGCAAACCCGGCCTGTTCAACTTGATTTTTATGCAGCTT
+TCGGAAGAGATTGCCACTCAACTGGCCATCAAACTGAAAG
+ACGGGACGTATAACACCGGAACGCTTTGTTGAATTAACCA
+GGTCGTTGTCGGGGCGGGTAACACCGCAATGGACTGCGCT
+ACGTAAAGGCGATATCTCTATCACGCTGGTGAACAGTGAC
+CGTGGCCTATAAACGCTATATCACGGGAGTTCTGGTAGCC
+GAGTCAATGATGTCAGGAGAACACACGTTAAAAGCGGTAC
+TATCCTGACCATGATGGTTATCTGGATGTTTACCATCAGT
+TATCCTGACCATGATGGTTATCTGGATGTTTACCATCAGT
+GTTATCCACCGTGACAATTAACTGCGCGCCACGGGCATGG
+GCATGGGGATGTTCGACTTAACGCGATCGACGCGTCCAGG
+CGCCAGGGCGATAACTTTGAACTTCACGTTAGTCTCTCCG
+CATGACTTCGGCGCTGGCTAACTCAATATTACTGCTCATT
+TAAATTGTGGCGGATTATCACCGCTAAATTAAGCGGATTC
+TTGCAGATAACAGCGTTTAATCTATGATGATATAACTCAA
+TGCCACCAACTGGATTGCCAACATGATCGTTGGCGCAACG
+GGAGACGACGCGGATTTTTAACTATGCGTATCCCCCGCAT
+GCCGATCGCTTTGTCGATTATCAGCGTGCTGGTGTGAACC
+ACGTGAATATATTTTGGAGATCTACAAAGTTAGAGGCAGG
+GCTTGAGCAGGAGATGGTCAACTTCCTGTTCGAGGGTAAA
+GCTGCTACCGTCACCGTAGATCATGTTGTTATCGACCAGC
+TGCGGTACAGCAGGATTTTATCTTCCGCATCAACCGCCGC
+GATGATGTCGCTGCCGTATAACGCATCGTACAGTGAGCCC
+GCAATCGTCCATGCGACTTAACGCCAGCAGATGACCGCCG
+ACGTGCTTTATCGGCATATAACGCATCGTTTTTCAGCATC
+ATCAATCTCAGCGATATAGATCATATCGTCCGGCACCAGA
+TGGCGAGGAAGATTGCCATAACGCCACAGTTAACCTTTGG
+GAAATCCATACGACCAGTGATCATATGGTGACGGCGACGC
+GAAATCCATACGACCAGTGATCATATGGTGACGGCGACGC
+GCTTTCCTGAATGCCTTTGATCAGGTATTCATCGGAATGA
+CAATAATGAAGAGCTGGCGAACTATCTGGATAACTTCAGT
+CAATAATGAAGAGCTGGCGAACTATCTGGATAACTTCAGT
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+CAATAATGAAGAGCTGGCGAACTATCTGGATAACTTCAGT
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+GTGAAAGGCTGGCTGGCACAGCTTCCTGCTAAATATCACC
+GTTCCTGTAACTGCAAAATATCGACATTGAGACGCAACCC
+GAGAGCCAGGGCGCTGGCGATCACAATGAAAAACATCAGG
+CAGCGCAAAAACGCTGTCCATCTCTTCGGTAGAAAGCGGA
+TTTGCGCAATAAGCTGTCGATCAACCGTAAGATATAGCGC
+CATCAGTCAGCAGTTACATAACAACATCATTAAGTGTTGA
+CATCAGTCAGCAGTTACATAACAACATCATTAAGTGTTGA
+CATCAGTCAGCAGTTACATAACAACATCATTAAGTGTTGA
+ATGCCAGATGATGAAGTTCATCGCGAAGCGTAGTGTAAGC
+CTGCGCTCCCGTGTGCCAGATCTGGAAAATCAGGTCAAAA
+ACCCCGATCAAAGCTGAAGATCTGCAAGATATTCGCGTCG
+CTTGACGGCGATGGCACCAAACTTGCTGTTAATTGGACTG
+CTTGACGGCGATGGCACCAAACTTGCTGTTAATTGGACTG
+CTTGACGGCGATGGCACCAAACTTGCTGTTAATTGGACTG
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+CTACCAGCAGGAGCTGGAGATCAACGATCCTTACTATCTG
+GCAAGTACCAGAAGCCTTCACCTCTGAGTTAATGGCTGAC
+ATCTGGTCGGAAAACACCTAACGCATATTAACGATTTCAC
+CGTGTTCCCCAGAGCCACCAACTCCGTTTTATGTTGCGGG
+ATTGGCAACGGATGAATTTATCTGTGTGACGGAAGAATAA
+CTCCGGTGCATTGAGCTTTATCTGGGCGATGGCATGGCTG
+CGGGTTATCAGGGCTGAATAACGCGCGCTTTCAGTTTTTC
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+GTACGGTTTTCTGCGCGATATCTACCAGATGCCGGGGATC
+CTGGATGTTTATTCTGGTCAACATCATCTTTACGTTCGTG
+TTTCGCAACGCTGCGTTTCATCGCGGTGTTCAGTGCGCTT
+CGTTCCGGTGAATCGCATTAACGTTGGCAATATGCACTAC
+TCTGGATTCAGGGTCAATTAGCTTCGTTTTGATAGTTTGC
+TATACCAACGCTGTTTACCAACTACTCGTTTACAGGTTCT
+TACTACGCAGCTGCCCGATAACGTCGATCTTGAACAAACA
+TACTACGCAGCTGCCCGATAACGTCGATCTTGAACAAACA
+TCGGCGCAGCAATGGCGTTAACTTTCGGTTCGTTAATCAA
+CTCACCTTCCAGCCTGCGGATCTCACCTTTAAACTGCACA
+ACCACTGCCGTTGACGGCGAACAGCGACTGTAACGGCTAC
+CTGCTGCACATTGCGTATGAACGCCTGTTGACCGGTATTC
+ATTCTGAAAGATGAGTTAAAACAGGCGGGTATCACCTGGA
+ATTGCCCAACACGACAATGAACTTAACTTTATCTCCATGC
+ATTGCCCAACACGACAATGAACTTAACTTTATCTCCATGC
+TTAACAGCATGAGTGGCTTAACTCCCTGGTAAAAGATCAG
+TCGCAGAATCACGACGGATAACGCGCAGATCAATCTGGTG
+TCGCAGAATCACGACGGATAACGCGCAGATCAATCTGGTG
+ACAGCTTAGCAGTGTTCTTAACAGGGAATGTACGCGAAGC
+ACGCTGACCGAATTTGCTGAACAATGCCGTTACGAAGAAG
+CATAAACGGCTCACCGCCTAACTGATACATCTGCCGTAAA
+GGTATCCCAGAATTTCTTGATCATCGCGGTTAGCGCCGGA
+TAAATCCCTTGAGAGGGATAACTGTGGTTTCGGCCTGATC
+CCAGCCAGCCGATATGGTTATCGCGGTAATAAATATGTCA
+TGGAACAGCTGCGCTGCTAAACTACTCTCTGATGAGCAGC
+GCTTATCCGCTTGCAGTCGATCAAAGCTATTATTACACCT
+GGAAACGGTACGTAGCGTTAACGCGTTAATGACCGCGACG
+CGTTTAATAACAGCTGGATATCAATGTATTGCTCGTGCAA
+CGTTTAATAACAGCTGGATATCAATGTATTGCTCGTGCAA
+TCTCCATCAACCGCGTCATAACTGGTACATCAAACAACAT
+TTACGTGTGATGTCCGGTTAACTCGTGGTATGCTGCTGCC
+TTACGTGTGATGTCCGGTTAACTCGTGGTATGCTGCTGCC
+GCACTTCAGCAGCAATTGCAACTGTGGTGTTAACCGGGTT
+TGATTTTTGTGTTACTGATAACGCCGCGCTTGAGAAGCTG
+CAATAATGGTGCGCGGATCATCGCAATGATGATCACCAGT
+CGTGCCGCTGATGTGGGTGATCAACGAGATCAATCGTGGG
+CGTGCCGCTGATGTGGGTGATCAACGAGATCAATCGTGGG
+ATTCTTTAGATCGCCGTTCAGCTCTATGTTATAGGTCGCA
+TCTCGCGCGCCAGACGCACAACATACTGCTGCGCGCTCTC
+GGGTACCTACTTTCTCCTGATCTTCCAGTAACGTTGCTAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+CTGGGCGATGGTGAAATTTATCTATCGCGATATCCCACTG
+CTGGGCGATGGTGAAATTTATCTATCGCGATATCCCACTG
+GCATACTGCGGTGCGCTGTATCTCTTATAAAGACAGCAAA
+CTGGAAGCCGCCAGAAATGATCATCTGGCTGAATTTGTTG
+ACTGACCGTTTCTACCGTTAACTCTCAGGATCAGGTAACC
+TTTCAGATCATCCAGTTCGAACTCTGCGTTATCCAGCGCG
+TTTCAGATCATCCAGTTCGAACTCTGCGTTATCCAGCGCG
+CCAACCTCTTCTTCAACTTAACTCAATGATTAATTAAGGA
+ATTCAGTGCGCTGCTGATTAACGCCGGTATCGATCGCGGA
+ATTCAGTGCGCTGCTGATTAACGCCGGTATCGATCGCGGA
+TCGCTTCGCGAATCGCCACAACTTCAACGTTGAATTTCAG
+TCGCTTCGCGAATCGCCACAACTTCAACGTTGAATTTCAG
+CTGGCAAAGGAAGGCAATGATCTCCCGGTTGATGCGGCGG
+GGTCTGGGAACCGTTGCTCATCTATGCGTTGGGCACTCTC
+GGCACATAACACTCTGTATAACTCATTGAATCAGGCGATG
+GGCACATAACACTCTGTATAACTCATTGAATCAGGCGATG
+GGACTTTAGCGGAAAGGATAACTACCGGTTTTGACGGCAC
+AACCAACGGCTATCCGTATAACATGATGCTGGGCGATGAA
+AACCAACGGCTATCCGTATAACATGATGCTGGGCGATGAA
+TGGATCCCGCTGTCGCGTTATCCTGACTTTGATGAGATTT
+CCTGTTCCACACGCTGGGTAACGCGCGGTTGATTCAGTCC
+CCGCGCTTTGTCGAGAGTAAACACGGTGATGACGTCGGTG
+TCAGGTCACCCTGCACTTCAACACGTTGTTGACCATCCGT
+TCAGGTCACCCTGCACTTCAACACGTTGTTGACCATCCGT
+CTTAAATGCCATTGTGATGATCTCCTTATCACCCGTCACT
+TGAGCAACTGGGTCTGGATATCTGTGCGATGACCACCGAG
+AAACGGCAGGGTGATGATAAACATCAGGGTTAGCAATGAT
+AAACGGCAGGGTGATGATAAACATCAGGGTTAGCAATGAT
+CGCGCAGGCTTATCTGGTTAACACTGGCTGGAACGGCACT
+CGCGGGCTTCTTGCGCATTAACCACGGTGATAACCCGCTG
+GTCATGGAGTTGCCGGTCTATCATGTACCACACGTTAAAA
+AATTGGCGTGCATGAAGATAACTGGCAGGCAACGGTTGGC
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+CCACTGTACGCTGAAAATCATCACTGAGTTGCTGCTGAAA
+ACTCCATTGAGATGTAGTTAACATGTCGCTGATTCGCCAC
+GCCGCAGAATTTAAGCCATAACGCTGCCACTGACGTGAAA
+CCACTTTTCTTAGATTTTCAACACAACGTTATCGCTAGTT
+CCACTTTTCTTAGATTTTCAACACAACGTTATCGCTAGTT
+TGACATAACCCTGCTGTTTAACCAGTTCGATAATACCGTT
+TGACATAACCCTGCTGTTTAACCAGTTCGATAATACCGTT
+TTGCTGCACATAGCCGCTTAACAGGGCGCTGATAAGCGTA
+ATTGGTCTGTTTATGTACGATCATCTGGGTAAACGCACCA
+TTACCTGCTGAATGTGTATAACACGCACTTTAAAAAGCAG
+AACATGCGCTGGAAAAACTAACGCCGTATTATCAGGGTAT
+CCGCCAGTACCTGGTAGTGATCGCCGAAGTTGATCAGCGA
+TGATCAACTGCGCCAGGCTAACGCTGTAGTTCGGGATGAA
+CACTTTCGCTACGTCATTGATCAAATGAATAATGTGCTTC
+CACTTTCGCTACGTCATTGATCAAATGAATAATGTGCTTC
+CTCTAAACTAACCATGACTAACTCCTTTTTTATCATCTCT
+GTTGCCATTGGCATCAATCATCTCGTATTTATAGAGCTGA
+AACCATTCGTAAGCAGTTGATCCTTCCGGCACAAAACGCG
+ATCGCCCATCTCCGGCTTCATCTCTTCTCTGACCGTCACG
+GCGTAAAAACGTCGGTTTTATCATCGTTATTCTCCAGAGA
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+CTCGCCGTGGGCGAAGTTGATCATGCCGATAATGCCGTAA
+CTAACCCTGTTGCCACGTCAACGTCTGATGTACGCCATCG
+CTCAACGCTAAAGCAAATCATCGCTACGTTTAAGCCACCG
+GAATAATCCACAGATTCACATCGCGGGATTACACCGCGCA
+CAAAAAATCGCTGATTGATAACGCGTTGTATGGCACCCAG
+CTTTATGTCGCTGGCGATTAACGCGCGTTTACTGCGCGCC
+CTTTATGTCGCTGGCGATTAACGCGCGTTTACTGCGCGCC
+GCCGGGGCTGGCGCTGTTTATCAGCGTGATGGCCTTTAAC
+GAAGCCGTTTCTAACCTTGATCTCGTGTTACAGGCGGGTG
+AAAATTAGGCGGAATATTTATCGCGAAGGTATAGCGTCCG
+ACGGACGATAGAAGCTGTTAACGATCCGGTTCGATAACTG
+TGTTACGTAGTGCTGACATAACTCCGCATTATGTCGCGGG
+TCTATAGATAGTGTAGGAGATCAGGTTGTTTTTTTTCCAG
+CCTCTACGACGTGTTCCTGAACGCCCGCATATGCGGGCGT
+CGCGAGGATCTCTTCCATCACCTTGCTGTTATCCCATTTA
+GGACACTTTGTCATGACTAAACACTATGATTACATCGCCA
+GAACGCGACGGCTGCGTTTATCGCCGTCATTATCATCAGC
+GAACGCGACGGCTGCGTTTATCGCCGTCATTATCATCAGC
+TAAGGGGACTTTCATGGCTAACTATTTTATTGATCGCCCG
+TGGGCTTGGCCTGCCGCGTAACGAAGTGTTGTGGATGTTG
+TGGGCTTGGCCTGCCGCGTAACGAAGTGTTGTGGATGTTG
+TGGGCTTGGCCTGCCGCGTAACGAAGTGTTGTGGATGTTG
+CGTCATTGCGCGCACCCATAACGCGGGCGTGAAAGAAGTG
+AGAAAGCAGCAACACGATTAACAGCGTGATTTGGTGGACG
+AATAGGTGCCAGACGCATGATCATATTGATGATGCCGAAG
+AATAGGTGCCAGACGCATGATCATATTGATGATGCCGAAG
+AAAGATGACAGGAGCGATGATCATCTTAATGAGCTTAACG
+ATCCGCATTGATGCGTTTTAACTGATTAATCGCTTCGCCA
+TCCACTACGCAACACATTCATCTTCAATTACTCGTTATCC
+GCTCGAACCACGGCAGATGACCTACGTAATAAACGTCGCC
+GCAGCACGCCCATCAGTTCATCATTGAGATAAACCTTTAA
+GTTTTCTTTTCATCGCGTTATCATCATTGTTGAGCCAAAG
+ATGGTCATTTGCAAGAACGATCGCGTTGGTACGTGGTCGC
+CCTGACGGTGGGTAAAATCAACATTAAATGACAGGCGCAA
+CTGGCTGAATAATTTCTATAACGCGGAGGCGAAACGTAAA
+CCGGCAAATAACGACTGCTATCTGTTTGATAACCTTTCGA
+CGACAGGCGCGCACCGTACATCAGGCGCGACAGCACATCA
+GCATGTGGGCTGGTGAATGATCATGTGGTTGGCTGCTGTT
+GCATGTGGGCTGGTGAATGATCATGTGGTTGGCTGCTGTT
+TTTTGAATGGCTGCCAATTAACTTATATATCAATGGCGAT
+TTTTGAATGGCTGCCAATTAACTTATATATCAATGGCGAT
+TTTTGAATGGCTGCCAATTAACTTATATATCAATGGCGAT
+TCGCCAGGCTTTAACCGCTATCATCGTATTAGGCGCAATC
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+CGATCCACCCGCGCCTGATAACGCGTCGGGTCCAGTCGAA
+TCCTTGCGGTGTGAGGTATAACAAGGGTAGACGTGACTGG
+GTCGTTATCTGCCAGCCATAACGGGGTGTCGAAGACCAGT
+TGCAGCCTGCCTGACGCATAACATCGGGAATACGAAACGC
+TGCAGCCTGCCTGACGCATAACATCGGGAATACGAAACGC
+TCCATGACCCTACATTGTGATCTATAGATTAAATATTTTT
+TAGTCTCATCCTGCGGCAGAACAAGACGGATAAAAAATCC
+GGCGAAAATCCTGTTCCTCAACAACGCCATTAACCACGGT
+GGCGAAAATCCTGTTCCTCAACAACGCCATTAACCACGGT
+GGTACGGTTGAAGCGAAAGATCGCGTACTGAAAACGGGCG
+ATTGGTGATGATGTCGTTGATCTGATTGCTCAGGTTGATT
+GGCAGTGCCACTTTTACACAACGTGTGACAAGGAGATGAG
+ATGAAAACCCTTCAGGTATAACAACGGGGTTGAGTATTTA
+ATGAAAACCCTTCAGGTATAACAACGGGGTTGAGTATTTA
+TCGCGAAGAACAGCAGGATAACGCCATTTTTAGTGCTAAA
+AAAACCTTCGGTCATGCCTAACTCCGCCATCACGTCATTG
+AGGCGCTGATGGCGAAGTTAGCGTAGCGTTTATGCCGGAT
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+TGCCTCCGCCGTGCTGTACATCGCGCTGCAACACTATGTT
+GCGTGCACCACGCCTGCATAACTGAAGGTCGTCAGGCATA
+GCGTGCACCACGCCTGCATAACTGAAGGTCGTCAGGCATA
+AAGTTGCACCGAGATGGTGATCTCCCGCGTTCTGCATCTG
+TGTCGTCGCGCTGATGTTGATCGTGCTGGGTCTGTTCCCG
+CCGTCGGGCGATTCTGATTATCGCGCTGTCGCTGGCGGTT
+TTGCGCGTAAATCGTGCATAACTCCCTTATGTGCATTTCA
+TTGCGCGTAAATCGTGCATAACTCCCTTATGTGCATTTCA
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+AGTTCTCCTGCGTAATCAGAACTCATGATATCTGGAAACC
+AGTTCTCCTGCGTAATCAGAACTCATGATATCTGGAAACC
+CGTGGCGAGCATTATCCAGATCATGAGTTCTCCTGCGTAA
+TCCACATCTGATGCTGACCAACGTCGGTGGTGATAATTGC
+CCTTGTTGGTTTTGTGTTTAACAATATTTATACAAGCACA
+CGTCTGCAAAACGGATATCATCGATCAGGTTATGCATTTC
+CACGGTTCAGGCGCGAGATAACAACGTCATAGCGTTCTTT
+AGCAGGCAAAATGCAGGTGATCGCGCTGGATAAAAAGCAC
+GCATCTTTGATAATTCGATAACTAACTGTTATTCATGGAG
+CGATGGCAATACCGCTTTTAACGCTTTGATGTATTGCGGA
+GCAGAAGGGTGCCATCCATATCGATAGCAATGAGTTTAAT
+AAGCCGCGCTACGCCGATTATCTTCCGTTTAAAGACGCCG
+AAGCCGCGCTACGCCGATTATCTTCCGTTTAAAGACGCCG
+TTGCCTGCTGGTGTTCTCTAACTTAGCTGTTGCCAGTTCG
+GATCGTCACGCCGGAATATAACTACTCGGTACCGGGTGGG
+GATCGTCACGCCGGAATATAACTACTCGGTACCGGGTGGG
+TATGCTGAATGGTAAAGAGATCAATAAATTATCCACTGGA
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_16.stat b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_16.stat
new file mode 100644
index 0000000000000000000000000000000000000000..3616aae43cfc0103944f00c9caab47e1dbf04c0a
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_LEADING_16.stat
@@ -0,0 +1,5 @@
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diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_annot.pos b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_annot.pos
new file mode 100644
index 0000000000000000000000000000000000000000..16d4e23160b3f0d8fd6e5b0107254c3023770329
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_annot.pos
@@ -0,0 +1,1661 @@
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diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_annot_insertion.freq b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_annot_insertion.freq
new file mode 100644
index 0000000000000000000000000000000000000000..3f410465832360cb223090f309376815a8b5d28e
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_annot_insertion.freq
@@ -0,0 +1,1146 @@
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diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_around_insertion.bed b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_around_insertion.bed
new file mode 100644
index 0000000000000000000000000000000000000000..ceaf491f759b4ba8d0031b97548875c007b20e53
--- /dev/null
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diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_around_insertion.fasta b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_around_insertion.fasta
new file mode 100644
index 0000000000000000000000000000000000000000..69a1a649f7927f6145cd7f579816a6f055433feb
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_around_insertion.fasta
@@ -0,0 +1,3320 @@
+>LAGGING_0::ref:6257-6297
+TAATGCTTTTGAAATAGTCGATATCAAGCAGCATGACAGT
+>LAGGING_0::ref:47605-47645
+TAGCTTTGTTAAATACACAGTTAAGCGAGTTTGCCCCAAC
+>LAGGING_0::ref:50649-50689
+CTTATTGACATCATGTATAGTTATAGGGCGACATAATATC
+>LAGGING_0::ref:56928-56968
+GCTACGCCAGTAACACATTGATCAATCAACATGGCGACAT
+>LAGGING_0::ref:79887-79927
+CCCTGCCACAGAACGCGAAGTTAAAAATCAAACGTCCGGT
+>LAGGING_0::ref:79887-79927
+CCCTGCCACAGAACGCGAAGTTAAAAATCAAACGTCCGGT
+>LEADING_16::ref:82900-82940
+TTTGCGAGTAGCGCAGATTATCTTCGATATAAGTGTTATA
+>LAGGING_0::ref:82915-82955
+GATTATCTTCGATATAAGTGTTATAGACACCGCGCGCCAG
+>LEADING_16::ref:108290-108330
+GAGCGTTGTAGGCCTGCTGATCACTATCGTTAACTTCGCC
+>LEADING_16::ref:121409-121449
+GCTGGAAAATGGCCGTGAGAACCATTGTTTAACCTTTTGT
+>LAGGING_0::ref:131075-131115
+CGTTTTTGTTTAATTAGCTGTTAGCAACGCAAACTGTTTC
+>LEADING_16::ref:131433-131473
+CAACAACAAAAAGCCTTTCAACGTGCCGTTAACTGAACGA
+>LAGGING_0::ref:134401-134441
+TCGACATCATCAAAATGGCGATAAAAATCAACGATCATCT
+>LEADING_16::ref:138618-138658
+GCTGGCATTAACGCCGGTTATCGCGCAATTAAATGGTTCC
+>LAGGING_0::ref:147321-147361
+AGTCACGGTTGAACATACAGTTAACAATGGAACCGACCTG
+>LAGGING_0::ref:161441-161481
+GCGGCTGGTTAATGAAGAAGTTAAAGGTTTTCGGCGCGCG
+>LAGGING_0::ref:162731-162771
+CCTCAACCATAAACGGCGCGTTACGCAGCGCAGAGTCAAA
+>LAGGING_0::ref:162989-163029
+GGCAACGTTGATAAACCGTGTTATAAATTCGCCCGATTGT
+>LEADING_16::ref:172852-172892
+TTTCCTCAATGTGATGTACAACTTTGAGATGGAGCGCCTG
+>LAGGING_0::ref:185910-185950
+GTAGTGCCATCAGCAAGCAGTTGTTCGCCGAGTAAAATGC
+>LAGGING_0::ref:197802-197842
+GAACAACTGATAACATCACGGTGCGTCTGAAAGGTTTACT
+>LAGGING_0::ref:200471-200511
+CACCCTGCGTAAATTTAGCGTTGTCAGTCAACTGCCATGC
+>LAGGING_0::ref:210444-210484
+GTATATTCGTGAGCGCGTTGTTGACCAGCTGGCGCATATT
+>LAGGING_0::ref:222302-222342
+GTTGGCTGTTAAACAGATAGGTAGACACCGTATCAGACAC
+>LAGGING_0::ref:251010-251050
+CACCGACGCTTAGAACCGAGATAGCCGCCGTTGCATTGGC
+>LAGGING_0::ref:258782-258822
+TTTTACCTGATAAAATGAAGTTAAAGGACTGCGTCATGAT
+>LAGGING_0::ref:279598-279638
+TGAGCGCCATCATCCTAACGATAAAGGTATCCCTATGAGC
+>LEADING_16::ref:284191-284231
+CCAAACGCTTGATGTATTTAACAACGAAATTGACTACCGT
+>LEADING_16::ref:324419-324459
+GATGCGCCGCGCGAATTTTATCTTTGTATTTATTCCACAG
+>LEADING_16::ref:358202-358242
+GCGGTGTATCGAGGCCAATAACATGGACTTCATCTTTGCC
+>LAGGING_0::ref:359594-359634
+TAATGACCATAAAGTTGATGATCACGAGAATGACAAACAC
+>LAGGING_0::ref:359906-359946
+GCAGCACCATCATCGACAAGATCAACAGGATCAAAATCGG
+>LEADING_16::ref:379252-379292
+CGTAGGCGCTCCTCGCCATAACTACGCGGTTGCCAGCCGT
+>LAGGING_0::ref:393409-393449
+GGCAAGGAATCAATAACCAGTTGTATACTTTCTTGCATGA
+>LAGGING_0::ref:400166-400206
+TGGACGTTTTAATGACCTCGTTAAACAGCACCAGCAGCTA
+>LAGGING_0::ref:401914-401954
+GGAGTACTGGTCGCATGAAGTTGATAAGCTGCAAACGTAT
+>LEADING_16::ref:411233-411273
+TCAGACGCCAACGGTGGATAACTCGGCACTGATCAAACAG
+>LAGGING_0::ref:433797-433837
+AATATGCCATAAATCATATGTTATAGAAACAGCCTGGTTC
+>LEADING_16::ref:444110-444150
+AGGCGTGACCCCCAGTAATAACGCTATATATACTACCAAC
+>LEADING_16::ref:473823-473863
+AGTAACCAGTGCAGTTAATAACAATGGAGTTACAGAACTT
+>LAGGING_0::ref:473832-473872
+TGCAGTTAATAACAATGGAGTTACAGAACTTTTTGCCTTG
+>LAGGING_0::ref:473832-473872
+TGCAGTTAATAACAATGGAGTTACAGAACTTTTTGCCTTG
+>LEADING_16::ref:474082-474122
+TTTTGATGATGTAATCGTCAACGCGATCTTCATAGTCACC
+>LAGGING_0::ref:480580-480620
+AAATGGTTATTAATGAGGAGTTCGATACAAAAGAATAAAA
+>LEADING_16::ref:484711-484751
+ACAATGATGAGCGTTAATTAACTATTTATTAATTAGTTTG
+>LEADING_16::ref:484711-484751
+ACAATGATGAGCGTTAATTAACTATTTATTAATTAGTTTG
+>LEADING_16::ref:486054-486094
+AGTGATCGCCATGAGCTTTAACACAATCATTGACTGGAAT
+>LAGGING_0::ref:490400-490440
+CACCGCGGTGAAATCACAAGATATGGTGAAAGGCTGGTTT
+>LAGGING_0::ref:492433-492473
+CGGTAAGCATGAATATCAAGATCATCAACTTTTAAGCTTT
+>LAGGING_0::ref:492433-492473
+CGGTAAGCATGAATATCAAGATCATCAACTTTTAAGCTTT
+>LAGGING_0::ref:492433-492473
+CGGTAAGCATGAATATCAAGATCATCAACTTTTAAGCTTT
+>LAGGING_0::ref:506136-506176
+TTTCTGTATTAAGGCGAGAGTTATGTGGACGACGAGCTGG
+>LAGGING_0::ref:506385-506425
+TTGGCGCACCAAACTGATCGTTAATAACCGCTAATTCTTC
+>LAGGING_0::ref:517456-517496
+TTGATATAACCGAACAGGTGATCAACGTAAGCGTCACGCA
+>LAGGING_0::ref:535889-535929
+CGGCACCCTGCAACTGCCAGTTAATTTGTTCAATAGCCGC
+>LEADING_16::ref:537741-537781
+CCATCGACAGATGGCTTTGATCTTTGTAATAGCAGTCTTC
+>LEADING_16::ref:537741-537781
+CCATCGACAGATGGCTTTGATCTTTGTAATAGCAGTCTTC
+>LAGGING_0::ref:541512-541552
+GATTTGCTGGTGAATAGTAGTTATTTCGCGATTAACTGAG
+>LEADING_16::ref:543549-543589
+TGCCAACGGTCGTCTGCTTAACGATCTGGTACGCGATGCC
+>LAGGING_0::ref:595916-595956
+ATTTTCATTCTAAGGAGTGGTTAAAAGTTGTTGCTAATGA
+>LEADING_16::ref:603527-603567
+TATCGAATCCCCCCGCTTTAACAGCCGCATTAAACGCCAA
+>LAGGING_0::ref:618311-618351
+AATACGAGCATCATCTGCTGTTAAAAATGGCGGGCGATGG
+>LAGGING_0::ref:636157-636197
+TTATCCAGGCAAACGCAACGATGGGCGTACCCCGGCACAA
+>LAGGING_0::ref:640509-640549
+CCGTTACGGTGTCGGTGGCGTTATAAACCAGGTAGGCACG
+>LAGGING_0::ref:643166-643206
+CGGCGATAGTCACCGCCCAGTTGTACCAGTAGTTCCAGCC
+>LEADING_16::ref:651457-651497
+TCCGCCGATAATGCCGTTGATCAGCGCAATAATTGCGACA
+>LEADING_16::ref:667339-667379
+GCGCATACTGCTGCTGTTTATCGCTCTGTTCACCTTTGGT
+>LEADING_16::ref:667339-667379
+GCGCATACTGCTGCTGTTTATCGCTCTGTTCACCTTTGGT
+>LEADING_16::ref:671653-671693
+GGCTCGTGGCGAAATTCTTAACTGCCTTGATCGCGTTGGT
+>LAGGING_0::ref:672720-672760
+ATTTGCACGTTGTCCGCGCGTTATGTCATCAGGTTATCAT
+>LEADING_16::ref:674955-674995
+GCACCGCAGGCTTAGTGAGATCTTTTTCGTTATGCAGCTG
+>LEADING_16::ref:674955-674995
+GCACCGCAGGCTTAGTGAGATCTTTTTCGTTATGCAGCTG
+>LAGGING_0::ref:682106-682146
+TGGTCACGTTGTTGCGGGTGTTAATTGCCGAACTCCACAT
+>LEADING_16::ref:688509-688549
+CGAGCACCGTCATCGCCACAACTTTGCTTTCGAACAGCCA
+>LAGGING_0::ref:702033-702073
+TCGGCGTGGATAAAGTAATGATCATCATGACTGATAGCGA
+>LAGGING_0::ref:712328-712368
+AAACGCCGGTTAATCGGATGATCATCCACGACCAGAATCA
+>LEADING_16::ref:725347-725387
+GTCTTCGCCCCCTCCAGTTAACTTATGTTTAGCCCATGCG
+>LEADING_16::ref:725347-725387
+GTCTTCGCCCCCTCCAGTTAACTTATGTTTAGCCCATGCG
+>LAGGING_0::ref:725844-725884
+CCCGATGCAATAACGGCATGTTATCTGCCTGCTCCGCGTA
+>LAGGING_0::ref:725844-725884
+CCCGATGCAATAACGGCATGTTATCTGCCTGCTCCGCGTA
+>LEADING_16::ref:737413-737453
+ATTTGTGTTGTGCCCAAATAACTATTATTGTTTGCCAGAC
+>LAGGING_0::ref:744679-744719
+GCATCGCCTTACAACCAGAGTTAACGCTGAAAAGCATTGC
+>LAGGING_0::ref:761573-761613
+GCTGAAGTCTTAACACCGGGCTATAAGTACAATCTGACCG
+>LAGGING_0::ref:772402-772442
+GAACCACCGTGACCTGGGAGATCAACATACAACCGTGAGT
+>LEADING_16::ref:774797-774837
+CTAACTGCTGCGCCTGCTTATCATCAGGATTATTTGCTAC
+>LEADING_16::ref:792188-792228
+GATCCAGTCTTCTTTAAAGAACATTTTGATCATGTCCGCA
+>LEADING_16::ref:816659-816699
+CATATCGGGAGGCTGCATGAACATAGTGATCACCGGAGGG
+>LEADING_16::ref:831665-831705
+AGAGCATGAAGAAGAGATTAACGTGCCGGATGATGAACGG
+>LAGGING_0::ref:833768-833808
+TAAAGGGATTGATCCGCGTGTTATGCAACCGCTGCTTAAT
+>LAGGING_0::ref:833768-833808
+TAAAGGGATTGATCCGCGTGTTATGCAACCGCTGCTTAAT
+>LAGGING_0::ref:840425-840465
+CGCCACCGGCAATCGAGTCGATAAATCCCGCCAGCATGGC
+>LEADING_16::ref:846863-846903
+CAGCGCCTTTGGTCGCCAGAACAACTTGATACGCGTTTGC
+>LAGGING_0::ref:847947-847987
+GCCGCCGTGGGTAGTAAGCGTTGCGCCGCCCTGTAACGAC
+>LEADING_16::ref:855364-855404
+AAGGCGTACGTAAACCGCTAACAATGGCGATACGATCGCC
+>LAGGING_0::ref:859698-859738
+GGTCGCCCTGCAAGAAGTAGTTAACCATCACCGCAGGTTC
+>LAGGING_0::ref:860821-860861
+GCGAGATGTTTGCCAACGCGATCATTTCCGGCTGGCTGAT
+>LAGGING_0::ref:891117-891157
+GCATGCGCTCTAACAAAGCGATGATCGGCAGAAATAATCT
+>LAGGING_0::ref:891117-891157
+GCATGCGCTCTAACAAAGCGATGATCGGCAGAAATAATCT
+>LAGGING_0::ref:899456-899496
+CGCTCCGGGTTAATCAGGAGATCATCTGAAATCCGTCAGT
+>LEADING_16::ref:903233-903273
+GTTGACGAGTGAAATTATGAACGTGCAAAACAAATCGCCG
+>LAGGING_0::ref:905906-905946
+TACCTCCCCGTAATATTGCGTTAACAGGCCGCTGACGGCT
+>LAGGING_0::ref:910550-910590
+CAGATGGTTCAACCCTTAAGTTAGCGCTTATGGGATAATT
+>LAGGING_0::ref:911280-911320
+TAGAGCAGCAAATCACCCTGATCTAACGCCGTGCGAATGG
+>LAGGING_0::ref:942439-942479
+CCGCTACGCTTGCGTACCTGATCATTATGCCGCTGGGTGG
+>LEADING_16::ref:956940-956980
+GACGCTCCGTTAGATTGCTAACGCCAAAATTAGCGCTGAA
+>LAGGING_0::ref:961703-961743
+CTTTGCCAGCTAATTTCGCGTTTAATGAATTCGTAGCGCG
+>LAGGING_0::ref:961946-961986
+TGCCGACAATCATCGGGAAGATCATGGCGTTCATGTTGGC
+>LAGGING_0::ref:973899-973939
+CGGTCGCGTGTCAACAGAAGTTGATGCACGCCTCTCTTTT
+>LEADING_16::ref:975025-975065
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+>LEADING_16::ref:975025-975065
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+>LEADING_16::ref:975025-975065
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+>LEADING_16::ref:975025-975065
+TGAGATCGTCGATCACTTCACCTATGTGTTTATGGGCGAC
+>LAGGING_0::ref:978908-978948
+GCTGGACGTTAAATTCGAAGTTGGCCCCCTCTTCGCGGGC
+>LEADING_16::ref:988100-988140
+TAATGTTTCGGAATGGTATAACGCAAGTGATCCAGGGCAA
+>LAGGING_0::ref:996665-996705
+GTTACGGCTGATCACCGGTGATAGCCTGCAACGTCAGATG
+>LEADING_16::ref:1002369-1002409
+GGAAGCTGCATGGAAGTACATCATTATTTGTACTGTTGGT
+>LAGGING_0::ref:1009696-1009736
+GCGGTGCTGGTGAGTATGTGTTATCGGGCTATTTATTTAC
+>LEADING_16::ref:1019607-1019647
+ATCACCCTGAAGCTAAATAACCTTGTCGATAAAGGCCTGG
+>LEADING_16::ref:1029748-1029788
+CAAATTGTTCGCGCCATTGAACTGGCGAATCAGCGCAATG
+>LAGGING_0::ref:1043705-1043745
+GATACGCTTTTAACTCTTTGATATAACGTGCGATGTTCAG
+>LEADING_16::ref:1045922-1045962
+GGCCATTCTCCGGCTGACTAACGACGCTCCTGAGTACCTG
+>LEADING_16::ref:1065216-1065256
+CGGCATTCCTGGCATTACTAACTATATCTTTTCAGAAACT
+>LEADING_16::ref:1066920-1066960
+CGCATTAAGCGGTGTGATGATCAACGCTGATGCGGGTTTA
+>LEADING_16::ref:1067973-1068013
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+>LEADING_16::ref:1067973-1068013
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+>LEADING_16::ref:1067973-1068013
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+>LEADING_16::ref:1067973-1068013
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+>LEADING_16::ref:1067973-1068013
+GAGCGATCAGTACAGTGATAACTTACAGTTTATTGGCGAT
+>LEADING_16::ref:1070722-1070762
+TTTTCATAAATCCCTCATTAACAATACGATTAATTTTCAT
+>LEADING_16::ref:1078774-1078814
+CATTGGTTTGAGTCTGTATAACTTCCTCAACATCCTCAAT
+>LEADING_16::ref:1083906-1083946
+GTTCCAGTTGCTGCTGTAGAACGTGATGTTGCTGGCGCAA
+>LAGGING_0::ref:1093561-1093601
+CTACATAGCCTAACAGATAGATCATCACTTTTCCGGCAAC
+>LAGGING_0::ref:1093561-1093601
+CTACATAGCCTAACAGATAGATCATCACTTTTCCGGCAAC
+>LAGGING_0::ref:1102830-1102870
+CGACAATGGTGATTTCGGCGTTATCACGTACGCTTGTACT
+>LEADING_16::ref:1108535-1108575
+TGGTATTACCGCGCCGATGATCTTGAGCATAAAACCGCGT
+>LAGGING_0::ref:1108554-1108594
+ATCTTGAGCATAAAACCGCGTTGCTGGTGCATCTGTTAAA
+>LAGGING_0::ref:1114654-1114694
+TCTTCCCGTCATTTCCGTCGATCTTTCCCGGCTTTCTGCC
+>LEADING_16::ref:1116980-1117020
+GCTGGATGTCACGCTGGATATCTCGCCGTTTGAAGGCGAT
+>LEADING_16::ref:1116980-1117020
+GCTGGATGTCACGCTGGATATCTCGCCGTTTGAAGGCGAT
+>LEADING_16::ref:1119757-1119797
+TGCCAGCGAACCGAAACATAACATTGAGGTACGGCGACCA
+>LEADING_16::ref:1119757-1119797
+TGCCAGCGAACCGAAACATAACATTGAGGTACGGCGACCA
+>LAGGING_0::ref:1127262-1127302
+CGTCGCTATCAAACATAAAGTTCGCCAGCGCCTTACAAAG
+>LAGGING_0::ref:1127262-1127302
+CGTCGCTATCAAACATAAAGTTCGCCAGCGCCTTACAAAG
+>LAGGING_0::ref:1132306-1132346
+TGCCAGTGGTAAACATGAAGATATGTACACCGCAATTAAC
+>LAGGING_0::ref:1132332-1132372
+ACACCGCAATTAACGAATTGATCAACAAGCTGGAACGGCA
+>LAGGING_0::ref:1132332-1132372
+ACACCGCAATTAACGAATTGATCAACAAGCTGGAACGGCA
+>LAGGING_0::ref:1133566-1133606
+TAAAGCCATTAACGTGTCTGATCAGGTTCCGGCGAAAACC
+>LEADING_16::ref:1136996-1137036
+CAAAGTTATGTATCTTTTCATCTTCACGTTTTAGTACCGC
+>LAGGING_0::ref:1138575-1138615
+AACAAGGATATATCGATATGATAAAGCACCTGGTAGCACC
+>LAGGING_0::ref:1139134-1139174
+TCGCTTAAGCGAAATCTTAGTTAAGACGCTCTTTGATACG
+>LAGGING_0::ref:1143919-1143959
+ACCGCCTGATAAGCCTGGTGTTAATCGGCAATAACCTGGT
+>LEADING_16::ref:1148889-1148929
+CAAACCTGCGCTGAGTGGTAACTAATAATAAAGTTGCTCT
+>LEADING_16::ref:1148889-1148929
+CAAACCTGCGCTGAGTGGTAACTAATAATAAAGTTGCTCT
+>LAGGING_0::ref:1156340-1156380
+GCGCGCCTGATAAACATCTGATCAACGTACCCAATCGATC
+>LEADING_16::ref:1157779-1157819
+GACCTTAAGCAGTTTGCTTAACGCAATGTTGAGCTCGATG
+>LEADING_16::ref:1157779-1157819
+GACCTTAAGCAGTTTGCTTAACGCAATGTTGAGCTCGATG
+>LEADING_16::ref:1159851-1159891
+CAAAATTGAACTGCAGGGGATCGTCTTTTTATCAGCACCT
+>LEADING_16::ref:1165173-1165213
+GGCTGAACACGAAGGGCATATCGCCGTATTCACACTTGAT
+>LAGGING_0::ref:1165420-1165460
+TATTGCCATTATCGCCATTGTTATCATCGTCATCATTCTG
+>LAGGING_0::ref:1165420-1165460
+TATTGCCATTATCGCCATTGTTATCATCGTCATCATTCTG
+>LEADING_16::ref:1170280-1170320
+CATCCCTTCTCTTGTATCTAACATTTAGTTGTGAATAGCT
+>LEADING_16::ref:1170413-1170453
+TAAAAGCATTCAGATATATATCATTTCTACAAACATACCC
+>LAGGING_0::ref:1170288-1170328
+CTCTTGTATCTAACATTTAGTTGTGAATAGCTACTGTAAA
+>LAGGING_0::ref:1172899-1172939
+ACAATCAATTTAACAACAAGTTACACAACCAATTCAGACT
+>LEADING_16::ref:1173182-1173222
+CACCCCAAGATGCCCGCTTAACGTACTGCTGAATGAGGCT
+>LAGGING_0::ref:1173862-1173902
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+>LAGGING_0::ref:1173862-1173902
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+>LAGGING_0::ref:1173862-1173902
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+>LAGGING_0::ref:1173862-1173902
+TGGTGACATTATTACGGGTGTTATACGTCGCCCCCCAGAC
+>LAGGING_0::ref:1180832-1180872
+ACCACGCAATAAACATGATGATCATATGATGTAAATAACA
+>LAGGING_0::ref:1188772-1188812
+TGAGCTGTTTGAAGACGGCGATCACAACAAGCCGGACGCC
+>LAGGING_0::ref:1191479-1191519
+GGTGTCGCCGTTTTCACCTGATCATCGACACTGGCAATAC
+>LAGGING_0::ref:1195151-1195191
+CGTGCAGGATATCCAGAATGATGTCAATCAATTAGCTGAC
+>LEADING_16::ref:1197080-1197120
+GCAGTCTATTTACATGCTCATCATCCCGATATTCTGCGTT
+>LAGGING_0::ref:1200758-1200798
+TCGATTCGCTTAAAACCGCGTTAACGCAGCAGCAAGGTCT
+>LAGGING_0::ref:1204483-1204523
+GCTTTACACTTATAAGGGTGTTAAGAAGCCCATCAGTCTG
+>LAGGING_0::ref:1204640-1204680
+CAAAGACAGTTTACCGATTGTTATTAGTTATATTCCGGTG
+>LEADING_16::ref:1205168-1205208
+CAAACAATCTCTTTGCGTTACCGCAGCGTTAGTTGGTGCC
+>LAGGING_0::ref:1207878-1207918
+CCAGCAGCCTGAATATGCTGATCTTCTTCCGCGTGATTCA
+>LEADING_16::ref:1209671-1209711
+ATCGACTGTGAAGCTATCTAACAACGGCATTTAGCCACCT
+>LAGGING_0::ref:1211719-1211759
+ACGCCCAAGGATAACGTTAGTTAACCCTCCAAGGCTATTA
+>LAGGING_0::ref:1211719-1211759
+ACGCCCAAGGATAACGTTAGTTAACCCTCCAAGGCTATTA
+>LAGGING_0::ref:1219279-1219319
+TGTTCACTTAACTGCATCAGTTCACTGTCAGTCATCACAA
+>LEADING_16::ref:1225178-1225218
+GGCAAAAGCGGTGCTGGATATCTCCGTAGAACGCGAAGCC
+>LAGGING_0::ref:1237719-1237759
+TAAGGTAATTCAACGGCATGTTATGGGTAGTCATCATAAA
+>LAGGING_0::ref:1242067-1242107
+CAAAGAGATACAGTAAGGTGATCAAATCACCCAGTTGCGG
+>LEADING_16::ref:1244382-1244422
+AAGGTCACATTTGACGGCGATCGCGCGAATACCTGGCACC
+>LAGGING_0::ref:1244291-1244331
+TGACGCGGGCGATATCGGTGTTATCCACCAGATGCAGGGC
+>LAGGING_0::ref:1247033-1247073
+TCGACGCCTTACAAAACATGTTTGACGTTGAGCCGGATGT
+>LAGGING_0::ref:1252368-1252408
+AGGTCCGGTTGAGCGCAAAGTTGTGCGTATCGTTACGCCA
+>LAGGING_0::ref:1258458-1258498
+GCCGTGGGTAAACGCACTGGATAAGCCTGTCTCACTCGCC
+>LAGGING_0::ref:1260066-1260106
+CCATGTCCACAATTACATTGTTATGCATTGCGTTAGCTGG
+>LAGGING_0::ref:1260066-1260106
+CCATGTCCACAATTACATTGTTATGCATTGCGTTAGCTGG
+>LAGGING_0::ref:1263300-1263340
+CGTTGCCAGTAATCCAGGCGATATAGAAAAGTGTGTCGCC
+>LAGGING_0::ref:1274170-1274210
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+>LAGGING_0::ref:1274170-1274210
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+>LAGGING_0::ref:1274170-1274210
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+>LAGGING_0::ref:1274170-1274210
+TACGCCGTATAAACAGGAAGTTGCAGCGCTAATGCATTGG
+>LAGGING_0::ref:1276269-1276309
+CCATTACCATATCCGCAGGGTTAAAAGCGGCATAAGTACG
+>LEADING_16::ref:1284034-1284074
+GATCGCCTCGTCCGGTGAACTCATATGGACGGATCGGTTC
+>LAGGING_0::ref:1286127-1286167
+TTTTCTGGTTAACAGAGAGGCTAGCCACCAGCGGCGCGTC
+>LAGGING_0::ref:1289248-1289288
+AATGCCAATTTATTTCCGTGTTGTACGGCAATATCTGCAC
+>LEADING_16::ref:1291941-1291981
+CAGCAGCGCGCCCACAATTAACAACGCATTAAGCATCAGG
+>LEADING_16::ref:1291941-1291981
+CAGCAGCGCGCCCACAATTAACAACGCATTAAGCATCAGG
+>LEADING_16::ref:1312088-1312128
+GATATGGTGCAACATGTGGAACTTTGCGATAGCGGGCATC
+>LAGGING_0::ref:1313118-1313158
+TCATGGGCTTTCATCACTTGATCCATATCGATTTCTACAC
+>LEADING_16::ref:1315994-1316034
+CAGCGCCATAAAGCCGATGATCATCCACTCAACGTTGACG
+>LEADING_16::ref:1316347-1316387
+TCACGCTGAACGGCACTTTAACTTTGGTGTTTTGCTGATC
+>LAGGING_0::ref:1316374-1316414
+TGTTTTGCTGATCCATATTGATCAGCGCACCACCCGCGGC
+>LAGGING_0::ref:1316926-1316966
+TGGCCATTTCCGAACCGGCGATAGAGAGCGTAGCGCGGTC
+>LEADING_16::ref:1320677-1320717
+TTGCGCTCAGGGTAAGATTAGCGTGGCGTTATATCGTCTT
+>LEADING_16::ref:1320770-1320810
+CCAGGATATCACTATCGATAACTATGAATTCACTACTGAC
+>LEADING_16::ref:1320770-1320810
+CCAGGATATCACTATCGATAACTATGAATTCACTACTGAC
+>LAGGING_0::ref:1321951-1321991
+ACCCGCTGGTCAACGAATTGATCATCATGCCAGATATCGA
+>LEADING_16::ref:1323028-1323068
+AGATCACTGATAGATACATAACTTGTGTGTATCTTTCCGC
+>LEADING_16::ref:1324065-1324105
+TTACCTGGCTAACCACTTTAACGCACCGGTTATCGCGTGG
+>LAGGING_0::ref:1325038-1325078
+GAAGTTCCTTATCCGTACAGTTCAGCAGCCGATCTGCAAA
+>LEADING_16::ref:1327094-1327134
+CCGGTAAAGTCAGCGTTATAACGCATGACATGCGGTAACA
+>LAGGING_0::ref:1327089-1327129
+TCTCACCGGTAAAGTCAGCGTTATAACGCATGACATGCGG
+>LAGGING_0::ref:1327089-1327129
+TCTCACCGGTAAAGTCAGCGTTATAACGCATGACATGCGG
+>LEADING_16::ref:1327455-1327495
+TAAACGCCACCTGCGGGATATCATGCGGATCAACGCAAAC
+>LAGGING_0::ref:1327512-1327552
+CTTCGTCAGTGATCACGTAGTTAATGGTCACTTCTGCCGC
+>LAGGING_0::ref:1327953-1327993
+TTTCGTTCAGAATCATTCTGTTAGCCATCATCCTTCTCCT
+>LAGGING_0::ref:1334029-1334069
+CCGTTATTTGAACTGGACAGTTATGCACCGCCGCTGGTGA
+>LEADING_16::ref:1334249-1334289
+TTCTTTTAAAAAAAGGGGTAACACCGTAATCTCATACCGG
+>LAGGING_0::ref:1339302-1339342
+TGCTGGCGTTCATCATAGCGATATGGTGACGCTGCTGGCG
+>LEADING_16::ref:1339601-1339641
+AGATAAATATCGCCAGTTGATCATGCTGGGGAAACAGCTT
+>LAGGING_0::ref:1339583-1339623
+ACCGTTGACGCAATGGGAAGATAAATATCGCCAGTTGATC
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341599-1341639
+CCTGCACATCCATAATGAAGTTATCCATCAGGGAGTTACT
+>LAGGING_0::ref:1341782-1341822
+AATAACCGGTAAACTGCACGTTACCATAGTTGTCGGCACC
+>LEADING_16::ref:1342897-1342937
+CGGCAAACCCGGCCTGTTCAACTTGATTTTTATGCAGCTT
+>LEADING_16::ref:1344773-1344813
+TCGGAAGAGATTGCCACTCAACTGGCCATCAAACTGAAAG
+>LAGGING_0::ref:1344995-1345035
+CGTCGCTGTCATTTAATCAGTTATCAGGAAGATGGCGCGC
+>LAGGING_0::ref:1352659-1352699
+ATATCCAGCACATTCGCCAGTTCATCGAAGTATTGTTTAT
+>LAGGING_0::ref:1353332-1353372
+GCGCCATGGTTAATTCAGCGTTCACCGCATTACGCTCACG
+>LAGGING_0::ref:1363244-1363284
+ATCAGGTAGTAACAACGTCGATCATGATCGGCCAGGTAGA
+>LAGGING_0::ref:1367185-1367225
+TACAGTCTGTTAAACCGCAGTTTTGAAGTAGGTCTGGCAG
+>LAGGING_0::ref:1367609-1367649
+AACGCCGGTTAAAACCGGCGTTAAATATTAATGACGGCGC
+>LAGGING_0::ref:1367609-1367649
+AACGCCGGTTAAAACCGGCGTTAAATATTAATGACGGCGC
+>LAGGING_0::ref:1371306-1371346
+TTCATGTGCTCAACCCGAAGTTGACTTCACCTATCAATAC
+>LAGGING_0::ref:1378374-1378414
+GGGAGATCACCGCCTGCTCGTTATGCATCACAATATGACG
+>LAGGING_0::ref:1398991-1399031
+TCATATTTCTTAATCTTGCGATAGAGCGTAGCAATGCCGA
+>LEADING_16::ref:1406054-1406094
+ACGGGACGTATAACACCGGAACGCTTTGTTGAATTAACCA
+>LEADING_16::ref:1413069-1413109
+GGTCGTTGTCGGGGCGGGTAACACCGCAATGGACTGCGCT
+>LEADING_16::ref:1413642-1413682
+ACGTAAAGGCGATATCTCTATCACGCTGGTGAACAGTGAC
+>LEADING_16::ref:1416202-1416242
+CGTGGCCTATAAACGCTATATCACGGGAGTTCTGGTAGCC
+>LAGGING_0::ref:1418267-1418307
+TCGATCAGGCTAACTGCATGATCAAACTGGAATCGGACGG
+>LEADING_16::ref:1420727-1420767
+GAGTCAATGATGTCAGGAGAACACACGTTAAAAGCGGTAC
+>LEADING_16::ref:1421486-1421526
+TATCCTGACCATGATGGTTATCTGGATGTTTACCATCAGT
+>LEADING_16::ref:1421486-1421526
+TATCCTGACCATGATGGTTATCTGGATGTTTACCATCAGT
+>LAGGING_0::ref:1421494-1421534
+CCATGATGGTTATCTGGATGTTTACCATCAGTACGGCCTG
+>LAGGING_0::ref:1423464-1423504
+CCGCGCCTTTCAGCGCGGAGATTTCTTTCAGAGAGGATTC
+>LAGGING_0::ref:1423985-1424025
+TGCCTTCGTATCAAACAGAGTTAACATATCGCGCGCCGCC
+>LAGGING_0::ref:1431381-1431421
+GGTTGCCGCGAAACTCGTTGATATCGAGCTTATAAGCCAG
+>LEADING_16::ref:1432660-1432700
+GTTATCCACCGTGACAATTAACTGCGCGCCACGGGCATGG
+>LAGGING_0::ref:1433578-1433618
+ATTGGCCCCTGAATGATATGTTTACCATCATCGGTGATGT
+>LAGGING_0::ref:1435851-1435891
+TACCGTGATTCATCAGCCAGTTAAACAGGTCCGGATCGTC
+>LAGGING_0::ref:1439314-1439354
+CGCGTCGCATTAACCCGGAGATGAAAGTCGGCTGTATGCT
+>LEADING_16::ref:1440232-1440272
+GCATGGGGATGTTCGACTTAACGCGATCGACGCGTCCAGG
+>LAGGING_0::ref:1445761-1445801
+AACAGACTGTTAACCATAAGGTAAAATTGATCATCACATT
+>LAGGING_0::ref:1447680-1447720
+GCCAGCGGATAAGCACTGCGTTTACCAGCGTGGGTAATTT
+>LAGGING_0::ref:1450487-1450527
+GTCTCTTCTCATCAGGGTAGCTATAGTGTCGCCCCTTCGC
+>LAGGING_0::ref:1458371-1458411
+CTGTTATGCGAAGCAGCGGGTTATGACGTAGTGATTGTCG
+>LAGGING_0::ref:1462537-1462577
+CCTGCGCCTGATGAATCGCGTTATCAATCGCTGCCTTACG
+>LEADING_16::ref:1463021-1463061
+CGCCAGGGCGATAACTTTGAACTTCACGTTAGTCTCTCCG
+>LEADING_16::ref:1463464-1463504
+CATGACTTCGGCGCTGGCTAACTCAATATTACTGCTCATT
+>LAGGING_0::ref:1464162-1464202
+GGATCTGCTTAACCTGATCGATATCGGAATCATACGCCAC
+>LAGGING_0::ref:1469997-1470037
+GCTTCACTGCATATTCCACGATCTCTTCATCGTTATCGAC
+>LEADING_16::ref:1478848-1478888
+TAAATTGTGGCGGATTATCACCGCTAAATTAAGCGGATTC
+>LAGGING_0::ref:1478897-1478937
+AGGACTTACTCATCTTCAAGATAAGTATAACCGTACAAAC
+>LEADING_16::ref:1483073-1483113
+TTGCAGATAACAGCGTTTAATCTATGATGATATAACTCAA
+>LEADING_16::ref:1484423-1484463
+TGCCACCAACTGGATTGCCAACATGATCGTTGGCGCAACG
+>LEADING_16::ref:1486078-1486118
+GGAGACGACGCGGATTTTTAACTATGCGTATCCCCCGCAT
+>LAGGING_0::ref:1489987-1490027
+ACAGGTGTAGATCCGAGACGTTATGCTTTACACTAAGGGC
+>LEADING_16::ref:1492552-1492592
+GCCGATCGCTTTGTCGATTATCAGCGTGCTGGTGTGAACC
+>LAGGING_0::ref:1495218-1495258
+CAGCTGCGGTCACTACCGCGTTATACAGGTTGAATGGACC
+>LAGGING_0::ref:1495218-1495258
+CAGCTGCGGTCACTACCGCGTTATACAGGTTGAATGGACC
+>LEADING_16::ref:1495773-1495813
+ACGTGAATATATTTTGGAGATCTACAAAGTTAGAGGCAGG
+>LEADING_16::ref:1499254-1499294
+GCTTGAGCAGGAGATGGTCAACTTCCTGTTCGAGGGTAAA
+>LAGGING_0::ref:1501670-1501710
+GGTGTTTGTCGAAAAAGAAGTTAGCCCGGCAATTCGCGCC
+>LAGGING_0::ref:1501670-1501710
+GGTGTTTGTCGAAAAAGAAGTTAGCCCGGCAATTCGCGCC
+>LAGGING_0::ref:1501670-1501710
+GGTGTTTGTCGAAAAAGAAGTTAGCCCGGCAATTCGCGCC
+>LAGGING_0::ref:1502438-1502478
+GAGTCATCCTCAATATGCTGTTCAAATTGCGCCAGCATCG
+>LAGGING_0::ref:1507091-1507131
+CCCTTGCGTAAAACCGTAAGTTGAATGGAATCCATTGAAG
+>LAGGING_0::ref:1507806-1507846
+TATATTCCGCAGAAAAGGAGATATAGCGCCAGAGTGAATG
+>LEADING_16::ref:1511035-1511075
+GCTGCTACCGTCACCGTAGATCATGTTGTTATCGACCAGC
+>LAGGING_0::ref:1512918-1512958
+AGAGATTGATAATCTCGTTGATCACGTTGGGATATTCGGC
+>LAGGING_0::ref:1513013-1513053
+GAATAGCGATGAATAAGCTGATCAATATTCGCCCCGCGAA
+>LEADING_16::ref:1517908-1517948
+TGCGGTACAGCAGGATTTTATCTTCCGCATCAACCGCCGC
+>LEADING_16::ref:1518329-1518369
+GATGATGTCGCTGCCGTATAACGCATCGTACAGTGAGCCC
+>LEADING_16::ref:1519049-1519089
+GCAATCGTCCATGCGACTTAACGCCAGCAGATGACCGCCG
+>LEADING_16::ref:1519608-1519648
+ACGTGCTTTATCGGCATATAACGCATCGTTTTTCAGCATC
+>LAGGING_0::ref:1522163-1522203
+CCGCCGCGCGGATCGACAGGTTATCCATCATCTCCAGCCC
+>LAGGING_0::ref:1523762-1523802
+ATCTGATGTTTAATTCAGTGTTTGCCAGCGTAAATAATCT
+>LAGGING_0::ref:1523762-1523802
+ATCTGATGTTTAATTCAGTGTTTGCCAGCGTAAATAATCT
+>LEADING_16::ref:1524367-1524407
+ATCAATCTCAGCGATATAGATCATATCGTCCGGCACCAGA
+>LAGGING_0::ref:1526879-1526919
+ACAGCAATTAAATCGAAGCGATCTACCGCACGCAGAATGC
+>LEADING_16::ref:1529645-1529685
+TGGCGAGGAAGATTGCCATAACGCCACAGTTAACCTTTGG
+>LAGGING_0::ref:1529654-1529694
+AGATTGCCATAACGCCACAGTTAACCTTTGGTGGTGCACA
+>LEADING_16::ref:1532533-1532573
+GAAATCCATACGACCAGTGATCATATGGTGACGGCGACGC
+>LEADING_16::ref:1532533-1532573
+GAAATCCATACGACCAGTGATCATATGGTGACGGCGACGC
+>LEADING_16::ref:1536967-1537007
+GCTTTCCTGAATGCCTTTGATCAGGTATTCATCGGAATGA
+>LAGGING_0::ref:1537677-1537717
+TGTTACGGATGTATTGCGCGTTAACCGGAACGTCGATATT
+>LEADING_16::ref:1548159-1548199
+CAATAATGAAGAGCTGGCGAACTATCTGGATAACTTCAGT
+>LEADING_16::ref:1548159-1548199
+CAATAATGAAGAGCTGGCGAACTATCTGGATAACTTCAGT
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548159-1548199
+CAATAATGAAGAGCTGGCGAACTATCTGGATAACTTCAGT
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LEADING_16::ref:1548171-1548211
+GCTGGCGAACTATCTGGATAACTTCAGTTTATTCAGCATG
+>LAGGING_0::ref:1548476-1548516
+TTCAGGAGTACAATAGGCAGATAAAGGCTTAAACGCTGTT
+>LEADING_16::ref:1548824-1548864
+GTGAAAGGCTGGCTGGCACAGCTTCCTGCTAAATATCACC
+>LEADING_16::ref:1549798-1549838
+GTTCCTGTAACTGCAAAATATCGACATTGAGACGCAACCC
+>LEADING_16::ref:1550236-1550276
+GAGAGCCAGGGCGCTGGCGATCACAATGAAAAACATCAGG
+>LEADING_16::ref:1555049-1555089
+CAGCGCAAAAACGCTGTCCATCTCTTCGGTAGAAAGCGGA
+>LAGGING_0::ref:1555702-1555742
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+>LAGGING_0::ref:1555702-1555742
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+>LAGGING_0::ref:1555702-1555742
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+>LAGGING_0::ref:1555702-1555742
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+>LAGGING_0::ref:1555702-1555742
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+>LAGGING_0::ref:1555702-1555742
+CCGGGCGCTTACCCGCGACGTTATCCGGCGTGTAGGCATC
+>LAGGING_0::ref:1556888-1556928
+CGACCATCGTTCATCTGTAGTTGATAGCGACGAGAGTTCG
+>LAGGING_0::ref:1556888-1556928
+CGACCATCGTTCATCTGTAGTTGATAGCGACGAGAGTTCG
+>LEADING_16::ref:1561716-1561756
+TTTGCGCAATAAGCTGTCGATCAACCGTAAGATATAGCGC
+>LAGGING_0::ref:1561715-1561755
+TTTTGCGCAATAAGCTGTCGATCAACCGTAAGATATAGCG
+>LAGGING_0::ref:1561727-1561767
+AGCTGTCGATCAACCGTAAGATATAGCGCCCGACGCACTC
+>LAGGING_0::ref:1564767-1564807
+CAAATACGGTTATCGCAGGGATGAAAAAATGCGAATTTTA
+>LAGGING_0::ref:1570365-1570405
+GTTTAAGTTAGTAATTCGAGTTGATCGTCAGAGATGGTGC
+>LAGGING_0::ref:1577439-1577479
+GAACCCGGATAACAATGATGATGATCATCAGTTATTTTGA
+>LEADING_16::ref:1584441-1584481
+CATCAGTCAGCAGTTACATAACAACATCATTAAGTGTTGA
+>LEADING_16::ref:1584441-1584481
+CATCAGTCAGCAGTTACATAACAACATCATTAAGTGTTGA
+>LEADING_16::ref:1584441-1584481
+CATCAGTCAGCAGTTACATAACAACATCATTAAGTGTTGA
+>LAGGING_0::ref:1590439-1590479
+GATCTGGCAAGATCCCGGCGATCAAGCGCTGCGGCGTGTC
+>LEADING_16::ref:1591863-1591903
+ATGCCAGATGATGAAGTTCATCGCGAAGCGTAGTGTAAGC
+>LAGGING_0::ref:1593929-1593969
+CGCAGCCGCATATCCACGCGATAGACGAAGCCATCCTGCG
+>LEADING_16::ref:1596444-1596484
+CTGCGCTCCCGTGTGCCAGATCTGGAAAATCAGGTCAAAA
+>LEADING_16::ref:1602356-1602396
+ACCCCGATCAAAGCTGAAGATCTGCAAGATATTCGCGTCG
+>LAGGING_0::ref:1602616-1602656
+GACCGGCGTGAAACTGGTGGTTGGCAAAGGTGGTATGGGG
+>LAGGING_0::ref:1602997-1603037
+CCTTCCACTGAATGGTGGCGATATCTTGCGCCGCTGGCGG
+>LEADING_16::ref:1603614-1603654
+CTTGACGGCGATGGCACCAAACTTGCTGTTAATTGGACTG
+>LEADING_16::ref:1603614-1603654
+CTTGACGGCGATGGCACCAAACTTGCTGTTAATTGGACTG
+>LEADING_16::ref:1603614-1603654
+CTTGACGGCGATGGCACCAAACTTGCTGTTAATTGGACTG
+>LEADING_16::ref:1610930-1610970
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+>LEADING_16::ref:1610930-1610970
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+>LEADING_16::ref:1610930-1610970
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+>LEADING_16::ref:1610930-1610970
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+>LEADING_16::ref:1610930-1610970
+GCACGCTAACCAGCGCACTAACTTGCGGTTTAACGGCAAG
+>LAGGING_0::ref:1610950-1610990
+ACTTGCGGTTTAACGGCAAGTTTGCTCAACGTTTCCAGGC
+>LAGGING_0::ref:1613184-1613224
+TGCTGGGTATGTTCGTTCAGTTCATCGGTGCCTTTCGCCA
+>LAGGING_0::ref:1614531-1614571
+GAACGCTGGATCATGAGGAGATGAAAGCACTTAACCGAGA
+>LEADING_16::ref:1616642-1616682
+CTACCAGCAGGAGCTGGAGATCAACGATCCTTACTATCTG
+>LEADING_16::ref:1617770-1617810
+GCAAGTACCAGAAGCCTTCACCTCTGAGTTAATGGCTGAC
+>LEADING_16::ref:1618204-1618244
+ATCTGGTCGGAAAACACCTAACGCATATTAACGATTTCAC
+>LEADING_16::ref:1629336-1629376
+CGTGTTCCCCAGAGCCACCAACTCCGTTTTATGTTGCGGG
+>LEADING_16::ref:1629474-1629514
+ATTGGCAACGGATGAATTTATCTGTGTGACGGAAGAATAA
+>LAGGING_0::ref:1631111-1631151
+CCCCGCCGATCAATAAAGTGATGTATGACAATAAGATCCA
+>LAGGING_0::ref:1632339-1632379
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+>LAGGING_0::ref:1632339-1632379
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+>LAGGING_0::ref:1632339-1632379
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+>LAGGING_0::ref:1632339-1632379
+ATGAGAGCGGTAAATACAAGTTAACCGCCGTATATTCCCG
+>LAGGING_0::ref:1633095-1633135
+CGCAGCATATTAATACCATGCTCTACGAAGCAGAGCTGTT
+>LAGGING_0::ref:1634822-1634862
+TCGACCTTGCAAACACTTTGTTACATCCTGAAAGATGCGT
+>LAGGING_0::ref:1635411-1635451
+CGAGACCACCAAAAACCTGGTTAACGATATGTCGAATGCC
+>LAGGING_0::ref:1639714-1639754
+TCTTCCTCTCAACGAGTGAGCTAGCTTGCTTATGGTGCGA
+>LAGGING_0::ref:1640288-1640328
+CGCCAACTCTGATGGAAGAGTTAAACATCTCCACCCAACA
+>LEADING_16::ref:1640697-1640737
+CTCCGGTGCATTGAGCTTTATCTGGGCGATGGCATGGCTG
+>LAGGING_0::ref:1640855-1640895
+AGATCCTGCGTAACCGTCAGTTCTGGGGTATCGCGCTGCC
+>LEADING_16::ref:1643168-1643208
+CGGGTTATCAGGGCTGAATAACGCGCGCTTTCAGTTTTTC
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LEADING_16::ref:1643769-1643809
+AACTCTCATCGCTTCGGATAACTTCCTGTTATCCGAAACA
+>LAGGING_0::ref:1643777-1643817
+TCGCTTCGGATAACTTCCTGTTATCCGAAACATATCACTC
+>LEADING_16::ref:1646800-1646840
+GTACGGTTTTCTGCGCGATATCTACCAGATGCCGGGGATC
+>LEADING_16::ref:1647339-1647379
+CTGGATGTTTATTCTGGTCAACATCATCTTTACGTTCGTG
+>LAGGING_0::ref:1666997-1667037
+GCCAGATCCTTAATATGCAGATCAATACGGAAGCCCGGCT
+>LEADING_16::ref:1673339-1673379
+TTTCGCAACGCTGCGTTTCATCGCGGTGTTCAGTGCGCTT
+>LEADING_16::ref:1675471-1675511
+CGTTCCGGTGAATCGCATTAACGTTGGCAATATGCACTAC
+>LAGGING_0::ref:1676237-1676277
+CGAAAGAGAGAATCGTACTGATCACCGACGCGATGCAGGC
+>LEADING_16::ref:1676561-1676601
+TCTGGATTCAGGGTCAATTAGCTTCGTTTTGATAGTTTGC
+>LAGGING_0::ref:1678117-1678157
+TTATCTCCACTAAATATCTGTTACAGGACGCCCAGGCCAA
+>LEADING_16::ref:1684317-1684357
+TATACCAACGCTGTTTACCAACTACTCGTTTACAGGTTCT
+>LEADING_16::ref:1685937-1685977
+TACTACGCAGCTGCCCGATAACGTCGATCTTGAACAAACA
+>LEADING_16::ref:1685937-1685977
+TACTACGCAGCTGCCCGATAACGTCGATCTTGAACAAACA
+>LEADING_16::ref:1693714-1693754
+TCGGCGCAGCAATGGCGTTAACTTTCGGTTCGTTAATCAA
+>LAGGING_0::ref:1694312-1694352
+TAAACCGATCATTATTGATGTTAAAAATGCGGGCGCGGAA
+>LEADING_16::ref:1694607-1694647
+CTCACCTTCCAGCCTGCGGATCTCACCTTTAAACTGCACA
+>LAGGING_0::ref:1696285-1696325
+ATCAGAAAAATAACATAGCGGTATAAATCAACAATTCCAT
+>LAGGING_0::ref:1696285-1696325
+ATCAGAAAAATAACATAGCGGTATAAATCAACAATTCCAT
+>LAGGING_0::ref:1697896-1697936
+GAATCTGCTTAATCAGTGCGATGAGCTGGGCATTCGTAAC
+>LAGGING_0::ref:1697896-1697936
+GAATCTGCTTAATCAGTGCGATGAGCTGGGCATTCGTAAC
+>LEADING_16::ref:1698259-1698299
+ACCACTGCCGTTGACGGCGAACAGCGACTGTAACGGCTAC
+>LAGGING_0::ref:1703992-1704032
+TGGCAACCTTACTCGCCCTGTTCAGCAGCCGGAGCTTCCG
+>LAGGING_0::ref:1711076-1711116
+AACCCTTCGATATCAGCCAGATCATCAATGCCCTGTTCGG
+>LEADING_16::ref:1714498-1714538
+CTGCTGCACATTGCGTATGAACGCCTGTTGACCGGTATTC
+>LEADING_16::ref:1724701-1724741
+ATTCTGAAAGATGAGTTAAAACAGGCGGGTATCACCTGGA
+>LAGGING_0::ref:1724696-1724736
+GTGCAATTCTGAAAGATGAGTTAAAACAGGCGGGTATCAC
+>LEADING_16::ref:1725058-1725098
+ATTGCCCAACACGACAATGAACTTAACTTTATCTCCATGC
+>LEADING_16::ref:1725058-1725098
+ATTGCCCAACACGACAATGAACTTAACTTTATCTCCATGC
+>LAGGING_0::ref:1731769-1731809
+ATGGGATCTTCAATCATCAGTTAATAAACCAGCGAAACAT
+>LAGGING_0::ref:1733594-1733634
+CCACGCTCTTAATCAGACAGTTGACCAGATCCATACGCCA
+>LEADING_16::ref:1734206-1734246
+TTAACAGCATGAGTGGCTTAACTCCCTGGTAAAAGATCAG
+>LEADING_16::ref:1738180-1738220
+TCGCAGAATCACGACGGATAACGCGCAGATCAATCTGGTG
+>LEADING_16::ref:1738180-1738220
+TCGCAGAATCACGACGGATAACGCGCAGATCAATCTGGTG
+>LAGGING_0::ref:1741388-1741428
+CCAGTTGACCAAACATAAAGATAAACTGAAACAACACTAA
+>LEADING_16::ref:1741568-1741608
+ACAGCTTAGCAGTGTTCTTAACAGGGAATGTACGCGAAGC
+>LEADING_16::ref:1743695-1743735
+ACGCTGACCGAATTTGCTGAACAATGCCGTTACGAAGAAG
+>LEADING_16::ref:1744069-1744109
+CATAAACGGCTCACCGCCTAACTGATACATCTGCCGTAAA
+>LEADING_16::ref:1746058-1746098
+GGTATCCCAGAATTTCTTGATCATCGCGGTTAGCGCCGGA
+>LEADING_16::ref:1749703-1749743
+TAAATCCCTTGAGAGGGATAACTGTGGTTTCGGCCTGATC
+>LEADING_16::ref:1757700-1757740
+CCAGCCAGCCGATATGGTTATCGCGGTAATAAATATGTCA
+>LEADING_16::ref:1758220-1758260
+TGGAACAGCTGCGCTGCTAAACTACTCTCTGATGAGCAGC
+>LEADING_16::ref:1762424-1762464
+GCTTATCCGCTTGCAGTCGATCAAAGCTATTATTACACCT
+>LEADING_16::ref:1762877-1762917
+GGAAACGGTACGTAGCGTTAACGCGTTAATGACCGCGACG
+>LEADING_16::ref:1764217-1764257
+CGTTTAATAACAGCTGGATATCAATGTATTGCTCGTGCAA
+>LEADING_16::ref:1764217-1764257
+CGTTTAATAACAGCTGGATATCAATGTATTGCTCGTGCAA
+>LAGGING_0::ref:1768014-1768054
+ATCTGCTCCATCTGATAGAGATCGCCAGAGGTCTGTTTCA
+>LAGGING_0::ref:1771307-1771347
+GGATGAGTGTCATCATCGTGATCTGGCTTGTCGCCATCAA
+>LAGGING_0::ref:1771307-1771347
+GGATGAGTGTCATCATCGTGATCTGGCTTGTCGCCATCAA
+>LAGGING_0::ref:1771307-1771347
+GGATGAGTGTCATCATCGTGATCTGGCTTGTCGCCATCAA
+>LAGGING_0::ref:1772024-1772064
+CTGAACCGTTGATGATGGTGTTCATCAGCGTGTACCAGTC
+>LEADING_16::ref:1774031-1774071
+TCTCCATCAACCGCGTCATAACTGGTACATCAAACAACAT
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LAGGING_0::ref:1776362-1776402
+TATTAAACCTTAACGGTGAGTTAATTGGCATCAACACTGC
+>LEADING_16::ref:1777100-1777140
+TTACGTGTGATGTCCGGTTAACTCGTGGTATGCTGCTGCC
+>LEADING_16::ref:1777100-1777140
+TTACGTGTGATGTCCGGTTAACTCGTGGTATGCTGCTGCC
+>LEADING_16::ref:1778842-1778882
+GCACTTCAGCAGCAATTGCAACTGTGGTGTTAACCGGGTT
+>LEADING_16::ref:1782165-1782205
+TGATTTTTGTGTTACTGATAACGCCGCGCTTGAGAAGCTG
+>LAGGING_0::ref:1782747-1782787
+GCTGAATGGTGATCACAATGATCAGCGCGGTATAACCGGC
+>LAGGING_0::ref:1782747-1782787
+GCTGAATGGTGATCACAATGATCAGCGCGGTATAACCGGC
+>LEADING_16::ref:1782874-1782914
+CAATAATGGTGCGCGGATCATCGCAATGATGATCACCAGT
+>LEADING_16::ref:1785200-1785240
+CGTGCCGCTGATGTGGGTGATCAACGAGATCAATCGTGGG
+>LEADING_16::ref:1785200-1785240
+CGTGCCGCTGATGTGGGTGATCAACGAGATCAATCGTGGG
+>LAGGING_0::ref:1785208-1785248
+TGATGTGGGTGATCAACGAGATCAATCGTGGGGAGCTGGA
+>LAGGING_0::ref:1785208-1785248
+TGATGTGGGTGATCAACGAGATCAATCGTGGGGAGCTGGA
+>LAGGING_0::ref:1785208-1785248
+TGATGTGGGTGATCAACGAGATCAATCGTGGGGAGCTGGA
+>LAGGING_0::ref:1788729-1788769
+CCTGTCCGGTTAATTCAAAGCTGTTGAGATTGCCATCAAC
+>LEADING_16::ref:1788835-1788875
+ATTCTTTAGATCGCCGTTCAGCTCTATGTTATAGGTCGCA
+>LAGGING_0::ref:1789468-1789508
+CAGTTCAATATCAAGGTTAGTTAATGCAGGCCAGTCCGGC
+>LAGGING_0::ref:1792938-1792978
+GCCCGCGATGTCTTCGTCTGTTAACGTTCTGAAAGTCACA
+>LEADING_16::ref:1793192-1793232
+TCTCGCGCGCCAGACGCACAACATACTGCTGCGCGCTCTC
+>LAGGING_0::ref:1796600-1796640
+TTGAGTAACTCAACATTAAGTTCTTTGATCCAACTGGTAC
+>LAGGING_0::ref:1796600-1796640
+TTGAGTAACTCAACATTAAGTTCTTTGATCCAACTGGTAC
+>LEADING_16::ref:1797537-1797577
+GGGTACCTACTTTCTCCTGATCTTCCAGTAACGTTGCTAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LEADING_16::ref:1799401-1799441
+TCGCACGCTGGTGAAGGTTAACTAACCATTTAGCAGGGAA
+>LAGGING_0::ref:1799518-1799558
+CGAACACCTTGGTCAGGAAGTTATACAACATCATCCAAAC
+>LEADING_16::ref:1802524-1802564
+CTGGGCGATGGTGAAATTTATCTATCGCGATATCCCACTG
+>LEADING_16::ref:1802524-1802564
+CTGGGCGATGGTGAAATTTATCTATCGCGATATCCCACTG
+>LAGGING_0::ref:1803064-1803104
+TTTTTGGTATCAGCATTGCGTTATATACCGCCTTTGGTGG
+>LEADING_16::ref:1803335-1803375
+GCATACTGCGGTGCGCTGTATCTCTTATAAAGACAGCAAA
+>LEADING_16::ref:1803728-1803768
+CTGGAAGCCGCCAGAAATGATCATCTGGCTGAATTTGTTG
+>LEADING_16::ref:1806267-1806307
+ACTGACCGTTTCTACCGTTAACTCTCAGGATCAGGTAACC
+>LAGGING_0::ref:1811547-1811587
+TACCACCTTCGATCATAGCGTTAACCACTACACCAACAGC
+>LAGGING_0::ref:1818153-1818193
+ATCCATTAATTGAATGTTAGTTCGAAAAGCAAAAAGGCCA
+>LAGGING_0::ref:1825240-1825280
+GATGTTGCATTAATAATGAGATCAAACTCATGACCTTCCA
+>LEADING_16::ref:1827060-1827100
+TTTCAGATCATCCAGTTCGAACTCTGCGTTATCCAGCGCG
+>LEADING_16::ref:1827060-1827100
+TTTCAGATCATCCAGTTCGAACTCTGCGTTATCCAGCGCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1827068-1827108
+CATCCAGTTCGAACTCTGCGTTATCCAGCGCGAGCACTCG
+>LAGGING_0::ref:1830346-1830386
+TAGACTGGCTGATTAATAAGTTAATGGCCCGTCCGATGAC
+>LAGGING_0::ref:1833182-1833222
+GCAGGGGGATATCCCTGCTGTTGTGATGCATTACGGTGTC
+>LAGGING_0::ref:1851594-1851634
+ATCTTTACGGTTATTCCGTGATCACGCTGGACAATGGTTT
+>LAGGING_0::ref:1852801-1852841
+GGTGGGGACAAAACTCAAAGTTACTCCGCAGGTCAATGAA
+>LEADING_16::ref:1855944-1855984
+CCAACCTCTTCTTCAACTTAACTCAATGATTAATTAAGGA
+>LEADING_16::ref:1858268-1858308
+ATTCAGTGCGCTGCTGATTAACGCCGGTATCGATCGCGGA
+>LEADING_16::ref:1858268-1858308
+ATTCAGTGCGCTGCTGATTAACGCCGGTATCGATCGCGGA
+>LAGGING_0::ref:1859689-1859729
+GCATACGCTTAAGATTGAAGATCAACTTCAGCAACAACAG
+>LAGGING_0::ref:1860592-1860632
+CGTTGGAGGATAAAACGGCGTTAACGTTTCGCCAGGTATT
+>LAGGING_0::ref:1864064-1864104
+CGTTCTTATAAATGCCGCCGTTATAGATAACGTACCATGT
+>LAGGING_0::ref:1872740-1872780
+TGCGTCTGCTGACCGAGAAGTTAAAAGCCAGCCAGCCGTC
+>LEADING_16::ref:1873038-1873078
+TCGCTTCGCGAATCGCCACAACTTCAACGTTGAATTTCAG
+>LEADING_16::ref:1873038-1873078
+TCGCTTCGCGAATCGCCACAACTTCAACGTTGAATTTCAG
+>LAGGING_0::ref:1874257-1874297
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+>LAGGING_0::ref:1874257-1874297
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+>LAGGING_0::ref:1874257-1874297
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+>LAGGING_0::ref:1874257-1874297
+GCATCAGGTTAACGGCGCTGATATCCCGCTCCAGCACGGT
+>LAGGING_0::ref:1875346-1875386
+GATTCAACTCAAGGCCGATGATAAACATCAGGAATACCAC
+>LEADING_16::ref:1878655-1878695
+CTGGCAAAGGAAGGCAATGATCTCCCGGTTGATGCGGCGG
+>LAGGING_0::ref:1880356-1880396
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+>LAGGING_0::ref:1880356-1880396
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+>LAGGING_0::ref:1880356-1880396
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+>LAGGING_0::ref:1880356-1880396
+CCGGCTTCACAACGGGATAGTTAAGTCACGCGGCAACCAC
+>LEADING_16::ref:1882159-1882199
+GGTCTGGGAACCGTTGCTCATCTATGCGTTGGGCACTCTC
+>LEADING_16::ref:1883419-1883459
+GGCACATAACACTCTGTATAACTCATTGAATCAGGCGATG
+>LEADING_16::ref:1883419-1883459
+GGCACATAACACTCTGTATAACTCATTGAATCAGGCGATG
+>LEADING_16::ref:1886700-1886740
+GGACTTTAGCGGAAAGGATAACTACCGGTTTTGACGGCAC
+>LAGGING_0::ref:1890204-1890244
+CAAGCCGTCTATCGGTGTTGATAAACTGCCGGACAGCGCG
+>LAGGING_0::ref:1891259-1891299
+TCGATTACCTGAAAGCAGTGATCATTGACGACAAACTGGG
+>LEADING_16::ref:1897513-1897553
+AACCAACGGCTATCCGTATAACATGATGCTGGGCGATGAA
+>LEADING_16::ref:1897513-1897553
+AACCAACGGCTATCCGTATAACATGATGCTGGGCGATGAA
+>LEADING_16::ref:1899460-1899500
+TGGATCCCGCTGTCGCGTTATCCTGACTTTGATGAGATTT
+>LEADING_16::ref:1900816-1900856
+CCTGTTCCACACGCTGGGTAACGCGCGGTTGATTCAGTCC
+>LAGGING_0::ref:1902057-1902097
+GAAGAAAGAGTAACCATGCGTTGAGCAGCCCGGTTTTCAG
+>LEADING_16::ref:1905545-1905585
+CCGCGCTTTGTCGAGAGTAAACACGGTGATGACGTCGGTG
+>LAGGING_0::ref:1906170-1906210
+CCAGTTCTGCCAGCAACTCGTTATCCAGCGGCTCTATTTC
+>LAGGING_0::ref:1907065-1907105
+CATGAGTCAGCAATGCTTTGTTATCCATCTCGACCAGATA
+>LAGGING_0::ref:1908706-1908746
+GCCGTAGTTATATCCGTAGGTTAAGCCAACTGATGGGCAA
+>LAGGING_0::ref:1909298-1909338
+TCGACCAGCGTACCATCAAGATCAAAAGCGACGCCGCGAA
+>LAGGING_0::ref:1910670-1910710
+CAGTACGCATCTTCACAATGTTATAGAGACTGATCAGGTC
+>LEADING_16::ref:1911670-1911710
+TCAGGTCACCCTGCACTTCAACACGTTGTTGACCATCCGT
+>LEADING_16::ref:1911670-1911710
+TCAGGTCACCCTGCACTTCAACACGTTGTTGACCATCCGT
+>LAGGING_0::ref:1915284-1915324
+CGCGTCGGCGTATTGCAGGGTTATACTGCGATTTTCCAGC
+>LAGGING_0::ref:1915998-1916038
+AGTTGTAGCGTGAACAAAAGATCATCACCTTCCACGCTTA
+>LEADING_16::ref:1917707-1917747
+CTTAAATGCCATTGTGATGATCTCCTTATCACCCGTCACT
+>LAGGING_0::ref:1921321-1921361
+TGTGCTTAATGATGCTCAAGTTAAACTCCACGCTTGCCGA
+>LEADING_16::ref:1923857-1923897
+TGAGCAACTGGGTCTGGATATCTGTGCGATGACCACCGAG
+>LAGGING_0::ref:1923865-1923905
+TGGGTCTGGATATCTGTGCGATGACCACCGAGATGGGACC
+>LEADING_16::ref:1926693-1926733
+AAACGGCAGGGTGATGATAAACATCAGGGTTAGCAATGAT
+>LEADING_16::ref:1926693-1926733
+AAACGGCAGGGTGATGATAAACATCAGGGTTAGCAATGAT
+>LAGGING_0::ref:1926702-1926742
+GGTGATGATAAACATCAGGGTTAGCAATGATACTAACGGC
+>LAGGING_0::ref:1926702-1926742
+GGTGATGATAAACATCAGGGTTAGCAATGATACTAACGGC
+>LEADING_16::ref:1929083-1929123
+CGCGCAGGCTTATCTGGTTAACACTGGCTGGAACGGCACT
+>LAGGING_0::ref:1931296-1931336
+CTTTCGCCGTCACCATAATGATCGGCATCGGGTTGCTCTG
+>LAGGING_0::ref:1931418-1931458
+GTCAGCAGGCGATCCATCTGTTCTGCATTAGCGACGCTTC
+>LEADING_16::ref:1934001-1934041
+CGCGGGCTTCTTGCGCATTAACCACGGTGATAACCCGCTG
+>LAGGING_0::ref:1934010-1934050
+CTTGCGCATTAACCACGGTGATAACCCGCTGGACGCGTCT
+>LAGGING_0::ref:1934010-1934050
+CTTGCGCATTAACCACGGTGATAACCCGCTGGACGCGTCT
+>LAGGING_0::ref:1934010-1934050
+CTTGCGCATTAACCACGGTGATAACCCGCTGGACGCGTCT
+>LAGGING_0::ref:1935345-1935385
+GGTTTCCTGTTAATACGGTGATAACAACAATGAAAAAATT
+>LEADING_16::ref:1936829-1936869
+GTCATGGAGTTGCCGGTCTATCATGTACCACACGTTAAAA
+>LEADING_16::ref:1937053-1937093
+AATTGGCGTGCATGAAGATAACTGGCAGGCAACGGTTGGC
+>LEADING_16::ref:1937557-1937597
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+>LEADING_16::ref:1937557-1937597
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+>LEADING_16::ref:1937557-1937597
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+>LEADING_16::ref:1937557-1937597
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+>LEADING_16::ref:1937557-1937597
+TCTGGCGGTTATCCTGTTTAACATCGTGGTTATCGGTCTG
+>LAGGING_0::ref:1937566-1937606
+TATCCTGTTTAACATCGTGGTTATCGGTCTGCTGCGCCGC
+>LEADING_16::ref:1939391-1939431
+CCACTGTACGCTGAAAATCATCACTGAGTTGCTGCTGAAA
+>LAGGING_0::ref:1945664-1945704
+CCACTTTGTTGATCGCAAAGATAATATTCTTCGCCAGGTA
+>LAGGING_0::ref:1945664-1945704
+CCACTTTGTTGATCGCAAAGATAATATTCTTCGCCAGGTA
+>LAGGING_0::ref:1945664-1945704
+CCACTTTGTTGATCGCAAAGATAATATTCTTCGCCAGGTA
+>LEADING_16::ref:1947236-1947276
+ACTCCATTGAGATGTAGTTAACATGTCGCTGATTCGCCAC
+>LEADING_16::ref:1947358-1947398
+GCCGCAGAATTTAAGCCATAACGCTGCCACTGACGTGAAA
+>LEADING_16::ref:1947448-1947488
+CCACTTTTCTTAGATTTTCAACACAACGTTATCGCTAGTT
+>LEADING_16::ref:1947448-1947488
+CCACTTTTCTTAGATTTTCAACACAACGTTATCGCTAGTT
+>LEADING_16::ref:1955512-1955552
+TGACATAACCCTGCTGTTTAACCAGTTCGATAATACCGTT
+>LEADING_16::ref:1955512-1955552
+TGACATAACCCTGCTGTTTAACCAGTTCGATAATACCGTT
+>LAGGING_0::ref:1955508-1955548
+GTACTGACATAACCCTGCTGTTTAACCAGTTCGATAATAC
+>LEADING_16::ref:1955850-1955890
+TTGCTGCACATAGCCGCTTAACAGGGCGCTGATAAGCGTA
+>LAGGING_0::ref:1955858-1955898
+CATAGCCGCTTAACAGGGCGCTGATAAGCGTAATGACAAT
+>LEADING_16::ref:1957286-1957326
+ATTGGTCTGTTTATGTACGATCATCTGGGTAAACGCACCA
+>LEADING_16::ref:1957849-1957889
+TTACCTGCTGAATGTGTATAACACGCACTTTAAAAAGCAG
+>LEADING_16::ref:1958067-1958107
+AACATGCGCTGGAAAAACTAACGCCGTATTATCAGGGTAT
+>LEADING_16::ref:1959274-1959314
+CCGCCAGTACCTGGTAGTGATCGCCGAAGTTGATCAGCGA
+>LAGGING_0::ref:1959283-1959323
+CCTGGTAGTGATCGCCGAAGTTGATCAGCGAATCAACCAG
+>LEADING_16::ref:1959634-1959674
+TGATCAACTGCGCCAGGCTAACGCTGTAGTTCGGGATGAA
+>LEADING_16::ref:1959716-1959756
+CACTTTCGCTACGTCATTGATCAAATGAATAATGTGCTTC
+>LEADING_16::ref:1959716-1959756
+CACTTTCGCTACGTCATTGATCAAATGAATAATGTGCTTC
+>LAGGING_0::ref:1960575-1960615
+ACCGGATGGGTATCATTGAGATGAATCGCGATTTTATCCG
+>LAGGING_0::ref:1961837-1961877
+CTTCAATCCATAAAGTTGCGTTAAGCCGCACGGTTCAAAA
+>LAGGING_0::ref:1962781-1962821
+AATGACCGAACAACAGCGTGATATGTCCGGCGAAGGTATC
+>LAGGING_0::ref:1963284-1963324
+AACCGCCGGAAACCAGTGAGTTAAGGGTCATCCCGTGGCT
+>LAGGING_0::ref:1963284-1963324
+AACCGCCGGAAACCAGTGAGTTAAGGGTCATCCCGTGGCT
+>LAGGING_0::ref:1963284-1963324
+AACCGCCGGAAACCAGTGAGTTAAGGGTCATCCCGTGGCT
+>LEADING_16::ref:1964281-1964321
+CTCTAAACTAACCATGACTAACTCCTTTTTTATCATCTCT
+>LAGGING_0::ref:1965713-1965753
+CCAATTGTTTCAAATAGTTGATCATCACCGGATGCCCGAG
+>LAGGING_0::ref:1965947-1965987
+GACCGGCGTGCAGCAGCGGGTTATCTTTAAACTCCCCGTC
+>LEADING_16::ref:1967876-1967916
+GTTGCCATTGGCATCAATCATCTCGTATTTATAGAGCTGA
+>LEADING_16::ref:1971250-1971290
+AACCATTCGTAAGCAGTTGATCCTTCCGGCACAAAACGCG
+>LAGGING_0::ref:1973768-1973808
+TGCTTGTTTACAATTATTAGATATACACTAAATCAATTGC
+>LEADING_16::ref:1974882-1974922
+ATCGCCCATCTCCGGCTTCATCTCTTCTCTGACCGTCACG
+>LEADING_16::ref:1981767-1981807
+GCGTAAAAACGTCGGTTTTATCATCGTTATTCTCCAGAGA
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LEADING_16::ref:1981820-1981860
+CCAGCTAAGCCTGGTATATAACTCTGAATTAATCATCGTT
+>LAGGING_0::ref:1984358-1984398
+TCCAGCCGTAGATAAAGGTGATCACAAACAGCGCCGCCAG
+>LAGGING_0::ref:1984358-1984398
+TCCAGCCGTAGATAAAGGTGATCACAAACAGCGCCGCCAG
+>LAGGING_0::ref:1984530-1984570
+CGAGGCCATCAGCGGCAGCGTTAAACCGGCGTAGCTGTCG
+>LEADING_16::ref:1985102-1985142
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+>LEADING_16::ref:1985102-1985142
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+>LEADING_16::ref:1985102-1985142
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+>LEADING_16::ref:1985102-1985142
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+>LEADING_16::ref:1985102-1985142
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+>LEADING_16::ref:1985102-1985142
+GGTAAAACCTTCGCGGTAGATCTTATAAATCAGCGTCGTG
+>LAGGING_0::ref:1985227-1985267
+GGAAGAAACTCACCGGGGCGATAAGCGGCAGCGCAATCTT
+>LAGGING_0::ref:1985227-1985267
+GGAAGAAACTCACCGGGGCGATAAGCGGCAGCGCAATCTT
+>LAGGING_0::ref:1985479-1985519
+GACCGGGGTTAAACAGGAAGATCCACAATACGGCGGCAAC
+>LAGGING_0::ref:1986422-1986462
+GCATCATGCCTACGCCGTAGTTAAATTTGGCGTACTCGCG
+>LAGGING_0::ref:1987668-1987708
+ACTCCCTATCAATCAACGTGTTATTACCCGCCTAAATACG
+>LAGGING_0::ref:1989056-1989096
+TAGGGCCGATTAACGAGACGATCTCCTGCGGGTACAGTTC
+>LEADING_16::ref:1991236-1991276
+CTCGCCGTGGGCGAAGTTGATCATGCCGATAATGCCGTAA
+>LAGGING_0::ref:1992106-1992146
+GCAGTACGCATAATGTGTTGATAACCGCGTTGGGTCAGCT
+>LAGGING_0::ref:1992149-1992189
+GGTTGGTCGCTCCCGGCGAGATCATCAGAATACCTTCGTC
+>LAGGING_0::ref:1999754-1999794
+GTGGCTTGTTAGAAGAGACGATAAATTTACTGGAAGATAA
+>LEADING_16::ref:2000919-2000959
+CTAACCCTGTTGCCACGTCAACGTCTGATGTACGCCATCG
+>LAGGING_0::ref:2004401-2004441
+TCGCGGTAATGATCCCTGCGTTATTAATCTCCTACGTCAT
+>LAGGING_0::ref:2004401-2004441
+TCGCGGTAATGATCCCTGCGTTATTAATCTCCTACGTCAT
+>LAGGING_0::ref:2004401-2004441
+TCGCGGTAATGATCCCTGCGTTATTAATCTCCTACGTCAT
+>LAGGING_0::ref:2004826-2004866
+ATCAACGCTTTGCAGGCGAGTTAAAGGTTCGTTATCAGAG
+>LEADING_16::ref:2005828-2005868
+CTCAACGCTAAAGCAAATCATCGCTACGTTTAAGCCACCG
+>LEADING_16::ref:2007359-2007399
+GAATAATCCACAGATTCACATCGCGGGATTACACCGCGCA
+>LAGGING_0::ref:2009259-2009299
+AAAAGCCAGCGATTAAAAAGATCACCTTTAACGTCATCCC
+>LEADING_16::ref:2009521-2009561
+CAAAAAATCGCTGATTGATAACGCGTTGTATGGCACCCAG
+>LAGGING_0::ref:2009526-2009566
+AATCGCTGATTGATAACGCGTTGTATGGCACCCAGCAGGT
+>LEADING_16::ref:2010759-2010799
+CTTTATGTCGCTGGCGATTAACGCGCGTTTACTGCGCGCC
+>LEADING_16::ref:2010759-2010799
+CTTTATGTCGCTGGCGATTAACGCGCGTTTACTGCGCGCC
+>LEADING_16::ref:2011880-2011920
+GCCGGGGCTGGCGCTGTTTATCAGCGTGATGGCCTTTAAC
+>LAGGING_0::ref:2012455-2012495
+ATCACCGTTTATCATCGCCGATGAACCGACCACCGACCTT
+>LAGGING_0::ref:2012455-2012495
+ATCACCGTTTATCATCGCCGATGAACCGACCACCGACCTT
+>LAGGING_0::ref:2012569-2012609
+GGTGACCCATGATATGGGCGTTGTGGCGCGTCTGGCGGAT
+>LEADING_16::ref:2013271-2013311
+GAAGCCGTTTCTAACCTTGATCTCGTGTTACAGGCGGGTG
+>LEADING_16::ref:2021456-2021496
+AAAATTAGGCGGAATATTTATCGCGAAGGTATAGCGTCCG
+>LEADING_16::ref:2021551-2021591
+ACGGACGATAGAAGCTGTTAACGATCCGGTTCGATAACTG
+>LAGGING_0::ref:2022039-2022079
+GGCTTTTCATAAAGGTGGAGATCAGCAGCCCCATTCCGGT
+>LAGGING_0::ref:2022069-2022109
+CCATTCCGGTGGCAATGATGATATACAGCAGCGCCGCCAG
+>LAGGING_0::ref:2022069-2022109
+CCATTCCGGTGGCAATGATGATATACAGCAGCGCCGCCAG
+>LAGGING_0::ref:2024719-2024759
+ATGGTTGCAGGAATACGCAGATCTGGCGCGGCATCGAGGA
+>LEADING_16::ref:2030337-2030377
+TGTTACGTAGTGCTGACATAACTCCGCATTATGTCGCGGG
+>LEADING_16::ref:2034811-2034851
+TCTATAGATAGTGTAGGAGATCAGGTTGTTTTTTTTCCAG
+>LEADING_16::ref:2035518-2035558
+CCTCTACGACGTGTTCCTGAACGCCCGCATATGCGGGCGT
+>LEADING_16::ref:2039358-2039398
+CGCGAGGATCTCTTCCATCACCTTGCTGTTATCCCATTTA
+>LAGGING_0::ref:2039366-2039406
+TCTCTTCCATCACCTTGCTGTTATCCCATTTACCGGCGTT
+>LEADING_16::ref:2041254-2041294
+GGACACTTTGTCATGACTAAACACTATGATTACATCGCCA
+>LEADING_16::ref:2044063-2044103
+GAACGCGACGGCTGCGTTTATCGCCGTCATTATCATCAGC
+>LEADING_16::ref:2044063-2044103
+GAACGCGACGGCTGCGTTTATCGCCGTCATTATCATCAGC
+>LEADING_16::ref:2055368-2055408
+TAAGGGGACTTTCATGGCTAACTATTTTATTGATCGCCCG
+>LAGGING_0::ref:2061124-2061164
+TCGGTTTTTACAACGTTATGTTATCAGGTGTGTTTAAAGC
+>LAGGING_0::ref:2063414-2063454
+GCTCAACGTTAAATACTGAGTTAAATACCGTCGGCGCGTT
+>LAGGING_0::ref:2068675-2068715
+ATCCGACGCTAGCCGCCACGTTGAAAAACACCATCAACAC
+>LEADING_16::ref:2070595-2070635
+TGGGCTTGGCCTGCCGCGTAACGAAGTGTTGTGGATGTTG
+>LEADING_16::ref:2070595-2070635
+TGGGCTTGGCCTGCCGCGTAACGAAGTGTTGTGGATGTTG
+>LEADING_16::ref:2070595-2070635
+TGGGCTTGGCCTGCCGCGTAACGAAGTGTTGTGGATGTTG
+>LAGGING_0::ref:2071774-2071814
+GAGTTACCGCTACCGCGTAGTTCCGCGTCACCGTTCATTT
+>LEADING_16::ref:2075021-2075061
+CGTCATTGCGCGCACCCATAACGCGGGCGTGAAAGAAGTG
+>LEADING_16::ref:2077398-2077438
+AGAAAGCAGCAACACGATTAACAGCGTGATTTGGTGGACG
+>LAGGING_0::ref:2077433-2077473
+GGACGATATCCATCTGACTGTTAGTGGCCTGGGCGATAAA
+>LEADING_16::ref:2077821-2077861
+AATAGGTGCCAGACGCATGATCATATTGATGATGCCGAAG
+>LEADING_16::ref:2077821-2077861
+AATAGGTGCCAGACGCATGATCATATTGATGATGCCGAAG
+>LEADING_16::ref:2078253-2078293
+AAAGATGACAGGAGCGATGATCATCTTAATGAGCTTAACG
+>LAGGING_0::ref:2081869-2081909
+TCAGTCGGGTAAAGGTGTCGTTATCCTGCGGACGCGTCGT
+>LEADING_16::ref:2083613-2083653
+ATCCGCATTGATGCGTTTTAACTGATTAATCGCTTCGCCA
+>LEADING_16::ref:2085208-2085248
+TCCACTACGCAACACATTCATCTTCAATTACTCGTTATCC
+>LAGGING_0::ref:2085297-2085337
+ATGCCAGCAATATCACACTGATAGCCGCCAGCACCGCCAG
+>LEADING_16::ref:2085372-2085412
+GCTCGAACCACGGCAGATGACCTACGTAATAAACGTCGCC
+>LEADING_16::ref:2087148-2087188
+GCAGCACGCCCATCAGTTCATCATTGAGATAAACCTTTAA
+>LAGGING_0::ref:2087156-2087196
+CCCATCAGTTCATCATTGAGATAAACCTTTAACTGCGACT
+>LEADING_16::ref:2087562-2087602
+GTTTTCTTTTCATCGCGTTATCATCATTGTTGAGCCAAAG
+>LAGGING_0::ref:2088499-2088539
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+>LAGGING_0::ref:2088499-2088539
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+>LAGGING_0::ref:2088499-2088539
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+>LAGGING_0::ref:2088499-2088539
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+>LAGGING_0::ref:2088499-2088539
+GCGGCAGCACGAATAGGGCGATCATCAACGCTGGCGCATA
+>LEADING_16::ref:2089083-2089123
+ATGGTCATTTGCAAGAACGATCGCGTTGGTACGTGGTCGC
+>LAGGING_0::ref:2089732-2089772
+AGGTGACGATGATACCGAGGATCAACCGCCGCGCCCCGGC
+>LEADING_16::ref:2090784-2090824
+CCTGACGGTGGGTAAAATCAACATTAAATGACAGGCGCAA
+>LAGGING_0::ref:2092877-2092917
+CCGCTGCCTTTAACGCAAAGTTCTAAACCGGTCATCAATG
+>LEADING_16::ref:2093804-2093844
+CTGGCTGAATAATTTCTATAACGCGGAGGCGAAACGTAAA
+>LEADING_16::ref:2094081-2094121
+CCGGCAAATAACGACTGCTATCTGTTTGATAACCTTTCGA
+>LAGGING_0::ref:2096835-2096875
+CGCTGCGGATTTTCATCCTGATCAACAGCAAAACAAGCTA
+>LEADING_16::ref:2099426-2099466
+CGACAGGCGCGCACCGTACATCAGGCGCGACAGCACATCA
+>LAGGING_0::ref:2099575-2099615
+TCCAGTTGGCAAAGATCGCGATGAACAGCACGATGACGAC
+>LAGGING_0::ref:2099575-2099615
+TCCAGTTGGCAAAGATCGCGATGAACAGCACGATGACGAC
+>LAGGING_0::ref:2103182-2103222
+ATCCGTTAATGGATAGTGAGATATGGGGCGCAAATTTGGC
+>LAGGING_0::ref:2105412-2105452
+TCTGCTGTGTAATCGATTTGATGTATCTCATGCAAACAAA
+>LEADING_16::ref:2108560-2108600
+GCATGTGGGCTGGTGAATGATCATGTGGTTGGCTGCTGTT
+>LEADING_16::ref:2108560-2108600
+GCATGTGGGCTGGTGAATGATCATGTGGTTGGCTGCTGTT
+>LAGGING_0::ref:2114272-2114312
+TATCGGCATTTATCAGATCGTTAGGTGGCTATAAGTCACG
+>LAGGING_0::ref:2120894-2120934
+TAGCGTGTTTAATGGTGGTGATGATTCACACCACTACCTG
+>LEADING_16::ref:2121351-2121391
+TTTTGAATGGCTGCCAATTAACTTATATATCAATGGCGAT
+>LEADING_16::ref:2121351-2121391
+TTTTGAATGGCTGCCAATTAACTTATATATCAATGGCGAT
+>LEADING_16::ref:2121351-2121391
+TTTTGAATGGCTGCCAATTAACTTATATATCAATGGCGAT
+>LAGGING_0::ref:2123365-2123405
+TCGGCACTTTCATCAGCCTGTTGAGCTGCAGCGATTAAAG
+>LEADING_16::ref:2129343-2129383
+TCGCCAGGCTTTAACCGCTATCATCGTATTAGGCGCAATC
+>LAGGING_0::ref:2129590-2129630
+ATCGCCGGATTAATCCTTAGTTCTCGACTTGGCGCTGGTT
+>LEADING_16::ref:2133442-2133482
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+>LEADING_16::ref:2133442-2133482
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+>LEADING_16::ref:2133442-2133482
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+>LEADING_16::ref:2133442-2133482
+TATCAGTTTGGCGCGTTATATCTTTCTGGTGACGAAGTGA
+>LAGGING_0::ref:2134178-2134218
+GGGGCGACAAAGCAGCAGAGTTATTACTATTAGCGCCAGG
+>LAGGING_0::ref:2141671-2141711
+TCGACGCTCAGGAACACCCGATCAACGTCGTCTGGTCAGC
+>LAGGING_0::ref:2146522-2146562
+CTATCACGCTTATCAAGCTGTTGCATGGCATAATCGTCAT
+>LEADING_16::ref:2148753-2148793
+CGATCCACCCGCGCCTGATAACGCGTCGGGTCCAGTCGAA
+>LAGGING_0::ref:2150380-2150420
+TTTTACCGATATCAATGTAGTTGAGGATGGTTTCCAGTTG
+>LEADING_16::ref:2151486-2151526
+TCCTTGCGGTGTGAGGTATAACAAGGGTAGACGTGACTGG
+>LAGGING_0::ref:2151578-2151618
+GGCAAGGGTTACAGAGATAGTTGAAAAAGCGGCTAACAAT
+>LEADING_16::ref:2153872-2153912
+GTCGTTATCTGCCAGCCATAACGGGGTGTCGAAGACCAGT
+>LEADING_16::ref:2155631-2155671
+TGCAGCCTGCCTGACGCATAACATCGGGAATACGAAACGC
+>LEADING_16::ref:2155631-2155671
+TGCAGCCTGCCTGACGCATAACATCGGGAATACGAAACGC
+>LAGGING_0::ref:2156799-2156839
+GCGCCACGCCGTTGTCCGCGTTATAGGGCAGTTCATTAAT
+>LEADING_16::ref:2164868-2164908
+TCCATGACCCTACATTGTGATCTATAGATTAAATATTTTT
+>LEADING_16::ref:2165038-2165078
+TAGTCTCATCCTGCGGCAGAACAAGACGGATAAAAAATCC
+>LAGGING_0::ref:2167107-2167147
+AAAGGCCGTCGACTGGACAGTTAACCGATTCAGTGCCAGA
+>LAGGING_0::ref:2167333-2167373
+CGTGGGGTATCATCACCGCGTTATTTATTCCAACAGGGTG
+>LAGGING_0::ref:2167333-2167373
+CGTGGGGTATCATCACCGCGTTATTTATTCCAACAGGGTG
+>LEADING_16::ref:2167796-2167836
+GGCGAAAATCCTGTTCCTCAACAACGCCATTAACCACGGT
+>LEADING_16::ref:2167796-2167836
+GGCGAAAATCCTGTTCCTCAACAACGCCATTAACCACGGT
+>LAGGING_0::ref:2168476-2168516
+TTTCTGTTACTAACAGCGCGATCAACAACCTGCCGCCAGA
+>LEADING_16::ref:2168910-2168950
+GGTACGGTTGAAGCGAAAGATCGCGTACTGAAAACGGGCG
+>LEADING_16::ref:2169595-2169635
+ATTGGTGATGATGTCGTTGATCTGATTGCTCAGGTTGATT
+>LEADING_16::ref:2172281-2172321
+GGCAGTGCCACTTTTACACAACGTGTGACAAGGAGATGAG
+>LAGGING_0::ref:2172223-2172263
+TGCCAATACATAACATTTAGTTAACCATTCATTGTCATTA
+>LAGGING_0::ref:2172223-2172263
+TGCCAATACATAACATTTAGTTAACCATTCATTGTCATTA
+>LAGGING_0::ref:2172223-2172263
+TGCCAATACATAACATTTAGTTAACCATTCATTGTCATTA
+>LAGGING_0::ref:2173202-2173242
+TTTGGGGGCGTCACAGGTTGATATGACGCTGGCCCACACC
+>LAGGING_0::ref:2173202-2173242
+TTTGGGGGCGTCACAGGTTGATATGACGCTGGCCCACACC
+>LEADING_16::ref:2177203-2177243
+ATGAAAACCCTTCAGGTATAACAACGGGGTTGAGTATTTA
+>LEADING_16::ref:2177203-2177243
+ATGAAAACCCTTCAGGTATAACAACGGGGTTGAGTATTTA
+>LEADING_16::ref:2180280-2180320
+TCGCGAAGAACAGCAGGATAACGCCATTTTTAGTGCTAAA
+>LEADING_16::ref:2185614-2185654
+AAAACCTTCGGTCATGCCTAACTCCGCCATCACGTCATTG
+>LEADING_16::ref:2205246-2205286
+AGGCGCTGATGGCGAAGTTAGCGTAGCGTTTATGCCGGAT
+>LAGGING_0::ref:2205618-2205658
+CTACCCCTACCACCAGCTTGTTATCCATCAGCCACGGTTT
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LEADING_16::ref:2210730-2210770
+TTTCATGCCTTCGCTCCTCATCTTACTTTTCTACAGACAA
+>LAGGING_0::ref:2213732-2213772
+CGATTTCACATAACTACAAGTTATCAATTTCCCCTCCCCT
+>LAGGING_0::ref:2213827-2213867
+TTAGGGAGAGAACCATGCTGTTACACATTTTGTATTTGGT
+>LEADING_16::ref:2214302-2214342
+TGCCTCCGCCGTGCTGTACATCGCGCTGCAACACTATGTT
+>LAGGING_0::ref:2216147-2216187
+CGCTGTAGATAGTCAGGCAGATATACAACGTGATGAAAGC
+>LAGGING_0::ref:2221226-2221266
+GCTCGCCGGTAAGCAGAAAGGTAAAGCACGGCTGGCACAG
+>LEADING_16::ref:2221597-2221637
+GCGTGCACCACGCCTGCATAACTGAAGGTCGTCAGGCATA
+>LEADING_16::ref:2221597-2221637
+GCGTGCACCACGCCTGCATAACTGAAGGTCGTCAGGCATA
+>LEADING_16::ref:2224328-2224368
+AAGTTGCACCGAGATGGTGATCTCCCGCGTTCTGCATCTG
+>LAGGING_0::ref:2224729-2224769
+CGCTGATGCTGGTCTTTATGATCACTTCGCTGGAAACCAT
+>LEADING_16::ref:2224970-2225010
+TGTCGTCGCGCTGATGTTGATCGTGCTGGGTCTGTTCCCG
+>LEADING_16::ref:2225126-2225166
+CCGTCGGGCGATTCTGATTATCGCGCTGTCGCTGGCGGTT
+>LEADING_16::ref:2225370-2225410
+TTGCGCGTAAATCGTGCATAACTCCCTTATGTGCATTTCA
+>LEADING_16::ref:2225370-2225410
+TTGCGCGTAAATCGTGCATAACTCCCTTATGTGCATTTCA
+>LAGGING_0::ref:2225794-2225834
+TGCAACTGCGTGATATGGCGTTTAATAGCCCGAATAGCGA
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LEADING_16::ref:2225975-2226015
+GATTGAAGGCAGTATTGATAACGATCGCGTTACGCTGACT
+>LAGGING_0::ref:2227353-2227393
+GTGCTGCTTTTAAAGTAAAGATCACCGATCCGTCAGCAGC
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LEADING_16::ref:2227657-2227697
+AACCATCACGTTGTCGCCTAACATGTATTGACGGTCAAGG
+>LAGGING_0::ref:2230797-2230837
+ACATCATATATAACATTACGTTATCGAAAATAATGTGGCT
+>LEADING_16::ref:2237371-2237411
+AGTTCTCCTGCGTAATCAGAACTCATGATATCTGGAAACC
+>LEADING_16::ref:2237371-2237411
+AGTTCTCCTGCGTAATCAGAACTCATGATATCTGGAAACC
+>LEADING_16::ref:2237346-2237386
+CGTGGCGAGCATTATCCAGATCATGAGTTCTCCTGCGTAA
+>LAGGING_0::ref:2245399-2245439
+GAAAGCCGCGTGCCCCCGCGTTAAGCGCCTGCTCAACCAG
+>LAGGING_0::ref:2245399-2245439
+GAAAGCCGCGTGCCCCCGCGTTAAGCGCCTGCTCAACCAG
+>LAGGING_0::ref:2245399-2245439
+GAAAGCCGCGTGCCCCCGCGTTAAGCGCCTGCTCAACCAG
+>LAGGING_0::ref:2245885-2245925
+CGTCATTGACCAGTAGCCAGATATGGCTTTTGTCGCTGTC
+>LEADING_16::ref:2246560-2246600
+TCCACATCTGATGCTGACCAACGTCGGTGGTGATAATTGC
+>LEADING_16::ref:2247962-2248002
+CCTTGTTGGTTTTGTGTTTAACAATATTTATACAAGCACA
+>LAGGING_0::ref:2250965-2251005
+CCACGACCATCAATATTAAGCTAATGATTAATAAGCTGTT
+>LEADING_16::ref:2252105-2252145
+CGTCTGCAAAACGGATATCATCGATCAGGTTATGCATTTC
+>LAGGING_0::ref:2252182-2252222
+GTGAAGAGGTTGAGTACCAGTTTAAAGTCATCCGTCACCC
+>LAGGING_0::ref:2253457-2253497
+CGGCGGCAATGAAATAACTGATCATCGCTAACCAGCGCGT
+>LAGGING_0::ref:2253712-2253752
+AGTCGAACTTCACCAGATAGTTGATGGTGATGTAGCTGAT
+>LAGGING_0::ref:2255615-2255655
+TCCCGTTGGTCAGCAAAGCGTTATTTATAATGGCGAAATT
+>LEADING_16::ref:2260268-2260308
+CACGGTTCAGGCGCGAGATAACAACGTCATAGCGTTCTTT
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2261837-2261877
+TCAGTGGGGATAAATCGAAGTTACGCATAGTCATTTCTCC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LAGGING_0::ref:2262362-2262402
+AAAGCGGGGATAAATCAAAGTTACGCATAATCAATAGCTC
+>LEADING_16::ref:2264409-2264449
+AGCAGGCAAAATGCAGGTGATCGCGCTGGATAAAAAGCAC
+>LEADING_16::ref:2264918-2264958
+GCATCTTTGATAATTCGATAACTAACTGTTATTCATGGAG
+>LAGGING_0::ref:2267452-2267492
+CACGAATTTGTGCCACGGTGTTAACCGCCGCATCTACCGC
+>LAGGING_0::ref:2267560-2267600
+GTAGCGTTTTAATGCCGTCGATAACATCCGCCGGACGATC
+>LAGGING_0::ref:2267560-2267600
+GTAGCGTTTTAATGCCGTCGATAACATCCGCCGGACGATC
+>LEADING_16::ref:2268139-2268179
+CGATGGCAATACCGCTTTTAACGCTTTGATGTATTGCGGA
+>LAGGING_0::ref:2269632-2269672
+TAAGTTGCTGTAACACCGGGTTATGCACCGACTGCAGCAC
+>LAGGING_0::ref:2270370-2270410
+TTCAACGGCTTAGCTACTCGTTTAAAGGATTAATCATGAA
+>LEADING_16::ref:2271874-2271914
+GCAGAAGGGTGCCATCCATATCGATAGCAATGAGTTTAAT
+>LAGGING_0::ref:2275248-2275288
+CCGCGACGCTCATCATCAAGCTCAGAGGCAAAATCATCTA
+>LEADING_16::ref:2281918-2281958
+AAGCCGCGCTACGCCGATTATCTTCCGTTTAAAGACGCCG
+>LEADING_16::ref:2281918-2281958
+AAGCCGCGCTACGCCGATTATCTTCCGTTTAAAGACGCCG
+>LEADING_16::ref:2286057-2286097
+TTGCCTGCTGGTGTTCTCTAACTTAGCTGTTGCCAGTTCG
+>LEADING_16::ref:2289849-2289889
+GATCGTCACGCCGGAATATAACTACTCGGTACCGGGTGGG
+>LEADING_16::ref:2289849-2289889
+GATCGTCACGCCGGAATATAACTACTCGGTACCGGGTGGG
+>LAGGING_0::ref:2290367-2290407
+TACCTTCGGTAATCGAGAAGCTGAACGGCATCATCACGGC
+>LAGGING_0::ref:2291509-2291549
+TCGCGCAGTTTAAACACGCGTTCCAGCATCCCCTGACCAG
+>LAGGING_0::ref:2292633-2292673
+CGGGAGCTATTCCTGCGTTGTTAACCGGTGTAATGGTTGC
+>LAGGING_0::ref:2293778-2293818
+CGCTGACAATTATCAGCAAGTTTTTCGCCGCCATGATGCT
+>LAGGING_0::ref:2303539-2303579
+AAACAACGCGCGCCAGAATGTTCAGCAGCAGTACGCACAG
+>LAGGING_0::ref:2303794-2303834
+CTTTCAGCGTAATCGCAGAGATCATCTTCCACTTCGGTGT
+>LAGGING_0::ref:2313348-2313388
+TGTAGCCACCGGTCTGGTTGATCTCTTGCATCAACGGAGC
+>LAGGING_0::ref:2317236-2317276
+CAAATATCATAAACAAAACGTTAGGCAGAAAGACTGCCAG
+>LAGGING_0::ref:2320692-2320732
+TCCTGGGTATTAAAAAGAAGATCTATTTATTTAGAGATCT
+>LEADING_0::ref:2321392-2321432
+TGCTGCCGCTGATAAGAGTGATATCTGCCATAAACCGCCA
+>LEADING_0::ref:2324092-2324132
+TGAACTTCACTCAACAGTTGTTCGCGTTCTTCTTCTAATA
+>LAGGING_16::ref:2324487-2324527
+GGCCAGCAGTGCGATGATCATCTCTTCGATCAATCCCTCT
+>LAGGING_16::ref:2324487-2324527
+GGCCAGCAGTGCGATGATCATCTCTTCGATCAATCCCTCT
+>LAGGING_16::ref:2327755-2327795
+GATGCATAACCTTAAACATAACAAGGTATTGCATGAGCGG
+>LAGGING_16::ref:2331217-2331257
+GTAATAACGACTACAGGACATCTTGAATATGAACATGAAA
+>LAGGING_16::ref:2332097-2332137
+AAGTATCCGGTTGATCTGAAACTGGTTGTTAAGCAGTAGT
+>LAGGING_16::ref:2332097-2332137
+AAGTATCCGGTTGATCTGAAACTGGTTGTTAAGCAGTAGT
+>LAGGING_16::ref:2332170-2332210
+AATACGTCATCGACAGATGAACGTGTAATATAAAGAAAAG
+>LAGGING_16::ref:2332170-2332210
+AATACGTCATCGACAGATGAACGTGTAATATAAAGAAAAG
+>LEADING_0::ref:2333280-2333320
+TGAAGCGATTACCGCCAAAGTTGAAGCGGCGATTAAAGAA
+>LAGGING_16::ref:2333652-2333692
+CAGCGATCTTATTCAGGATAACTCGTTGCTGGGCGGAGAC
+>LAGGING_16::ref:2333652-2333692
+CAGCGATCTTATTCAGGATAACTCGTTGCTGGGCGGAGAC
+>LEADING_0::ref:2333694-2333734
+AGCAACGCAATATCTGATCGATAAAGGTCATACCCGTATC
+>LEADING_0::ref:2333942-2333982
+CTGTTGGCGTTTACCAGGCGTTATATCAGGCAGAGTTACA
+>LEADING_0::ref:2334487-2334527
+CTAATATAAACAACGGCAAGATCAGCATCCATATAGCCAT
+>LEADING_0::ref:2334487-2334527
+CTAATATAAACAACGGCAAGATCAGCATCCATATAGCCAT
+>LEADING_0::ref:2334535-2334575
+ATTGCAAAGAGAACTGAGCGATCATTAGCCCAATAATCAC
+>LAGGING_16::ref:2335552-2335592
+CCATACTGCGCTTCTTTTTATCGCTCATTCAATGTCCTGT
+>LEADING_0::ref:2335516-2335556
+TGAAGAAGGCCATCGCCGCGATCCACGGCAAACCCGCCAT
+>LAGGING_16::ref:2336443-2336483
+CCTCTTGTCAGGCCGGAATAACTCCCTATAATGCGCCACC
+>LAGGING_16::ref:2343000-2343040
+AACTAATACTCCGCGCCATAACTAGCTCGGTCAAAGAATT
+>LAGGING_16::ref:2343000-2343040
+AACTAATACTCCGCGCCATAACTAGCTCGGTCAAAGAATT
+>LAGGING_16::ref:2343000-2343040
+AACTAATACTCCGCGCCATAACTAGCTCGGTCAAAGAATT
+>LAGGING_16::ref:2345075-2345115
+ATGCAGCGGACAAAGGATGAACTACGAGGAAGGGAACAAC
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LAGGING_16::ref:2349135-2349175
+CTGTTCCTTAATGCTGGTAAACGCATTGTTGAATTGACCA
+>LEADING_0::ref:2352613-2352653
+CAGTCAGCGTCACCGTGCGGTTATCGCGCACAAACAGCGG
+>LAGGING_16::ref:2352924-2352964
+ACGAGGAATCACCATGGCTAACTACTTCAATACACTGAAT
+>LAGGING_16::ref:2352924-2352964
+ACGAGGAATCACCATGGCTAACTACTTCAATACACTGAAT
+>LAGGING_16::ref:2353018-2353058
+TTCGCCGATGGCGCGAGCTACCTTCAGGGTAAAAAAGTAG
+>LEADING_0::ref:2354509-2354549
+TACAGCACCTTAATGATGTGATATCCGAACTGGGTGTGCA
+>LEADING_0::ref:2354509-2354549
+TACAGCACCTTAATGATGTGATATCCGAACTGGGTGTGCA
+>LEADING_0::ref:2354509-2354549
+TACAGCACCTTAATGATGTGATATCCGAACTGGGTGTGCA
+>LAGGING_16::ref:2355495-2355535
+GTCTAATGGATTCACGATGAACTCCGATTTCGGTCTTCTC
+>LEADING_0::ref:2355715-2355755
+GGGTTCCGGTAAAACTCGTGTTATCACCAATAAAATCGCC
+>LEADING_0::ref:2355715-2355755
+GGGTTCCGGTAAAACTCGTGTTATCACCAATAAAATCGCC
+>LEADING_0::ref:2358397-2358437
+CTCGGGAACACTAACGCACGTTCCAGCGTCAGCCCGTCAA
+>LEADING_0::ref:2359589-2359629
+AGTCATCGGGTAAATCGTAGTTAAAGACGTGCGTCACTGC
+>LEADING_0::ref:2359735-2359775
+CCTGTCAATAAACCGACACGATGACCATCTGCTGCCAGGT
+>LEADING_0::ref:2360702-2360742
+CCAGGCTTATTCCTGTGGAGTTATATATGAGCGATAAAAT
+>LAGGING_16::ref:2361099-2361139
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+>LAGGING_16::ref:2361099-2361139
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+>LAGGING_16::ref:2361099-2361139
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+>LAGGING_16::ref:2361099-2361139
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+>LAGGING_16::ref:2361099-2361139
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+>LAGGING_16::ref:2361099-2361139
+GCCCGGCGTGAGTCATGCTAACTTAGTGTTGACTTCGTAT
+>LAGGING_16::ref:2364025-2364065
+GCCGAAGACGCTGAAAATGAACTGGATATTCGTGGGTTGT
+>LAGGING_16::ref:2364411-2364451
+GCTGGATGAAATGATTAACAACATCCAGTTTATCCCCGGA
+>LEADING_0::ref:2364291-2364331
+CGAAGCCTATAAAGAGTTTGTTATGCAACTGGCCTCGTGG
+>LEADING_0::ref:2364419-2364459
+AAATGATTAACAACATCCAGTTTATCCCCGGAGACTTTAC
+>LAGGING_16::ref:2365681-2365721
+GGCGGCAAATTACCCGTTTATCGACCCCGATAAAAAGATG
+>LEADING_0::ref:2366304-2366344
+AAAACAGGTAATTGGTGTCGATATCAACCAACATGCGGTT
+>LEADING_0::ref:2367390-2367430
+CGTGCTGGTGATGCTGGTCGATCATAGTCAGTTCAAAGTT
+>LEADING_0::ref:2369161-2369201
+AGATTACCTCCATCAACCAGATGTACCTCGAGGCGGGCAA
+>LEADING_0::ref:2370457-2370497
+GATCACCGACAAAACGCGCGTTATCGTGCCGGTCCATTAC
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LAGGING_16::ref:2378798-2378838
+GGCGACGTTTACGCCTGTGATCACTATGTTTATCCGCAAT
+>LEADING_0::ref:2378806-2378846
+TTACGCCTGTGATCACTATGTTTATCCGCAATATCGGCTG
+>LEADING_0::ref:2379912-2379952
+AGGTAAAGACGATCAGCGTGTTATCAAGCTGACCGTTTTT
+>LAGGING_16::ref:2382520-2382560
+ATTTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCT
+>LAGGING_16::ref:2382522-2382562
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+>LAGGING_16::ref:2382522-2382562
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+>LAGGING_16::ref:2382522-2382562
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+>LAGGING_16::ref:2382522-2382562
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+>LAGGING_16::ref:2382522-2382562
+TTTTCGCCATCAGCTTTTCAACTTGCTGATAATCGCCTTC
+>LEADING_0::ref:2382530-2382570
+ATCAGCTTTTCAACTTGCTGATAATCGCCTTCCGCCAGTT
+>LEADING_0::ref:2393308-2393348
+TACGCCTGCTTAAGCGTCTGATCAAAGCCATGAACCTCGA
+>LAGGING_16::ref:2394235-2394275
+CATCGCGCGATCGCCAGTTAACACTCTGGCAGGCATGTCG
+>LAGGING_16::ref:2396390-2396430
+GTCATGCTGAGCGCATTTCAACTGGAAAATAACCGACTGA
+>LEADING_0::ref:2399336-2399376
+CGCAGATAATCAACGCGAAGATCAATGGTCCCCATCCGCG
+>LAGGING_16::ref:2399724-2399764
+TTCTACTTTAGGAAGGGATAACTAACGGCTATGGAGTTAA
+>LAGGING_16::ref:2401097-2401137
+CGTGGCGGCGGCGTGCCTTAACTCGACGCAAACCCGCGAA
+>LEADING_0::ref:2404460-2404500
+TCGCTTTAATGATTATGTTGATGATCTGGCGGCATTCTGG
+>LEADING_0::ref:2404460-2404500
+TCGCTTTAATGATTATGTTGATGATCTGGCGGCATTCTGG
+>LAGGING_16::ref:2406315-2406355
+CGTGCTGACGCCGCTCTACATCACGCTGATTTATGACATC
+>LAGGING_16::ref:2406768-2406808
+TCCGGCAGGGCTGCTGGTAAACCTGGCTATCTGGCACCAA
+>LAGGING_16::ref:2408721-2408761
+ACAGGTGAAACTGCTGCTGACCACCTATTTTGAAGGCGTA
+>LAGGING_16::ref:2413085-2413125
+CGCCTATGAACGCTATTTTAACGCCGAAGACGACTACACC
+>LAGGING_16::ref:2413074-2413114
+ATGACGCTGGTCGCCTATGAACGCTATTTTAACGCCGAAG
+>LAGGING_16::ref:2413575-2413615
+GGTTTAGGAGTAGAAATTAAACGCGAGATTAATCCGGATT
+>LAGGING_16::ref:2413674-2413714
+CCGAATGATGAAGCTTATCAACGCGATGATGAATATAATC
+>LEADING_0::ref:2417324-2417364
+AGAACGAACTGACCCAGGAGTTAAAACTCCAGGAGTTTCA
+>LEADING_0::ref:2417324-2417364
+AGAACGAACTGACCCAGGAGTTAAAACTCCAGGAGTTTCA
+>LAGGING_16::ref:2419321-2419361
+ATTCTTCACACTGTGCTTAATCTCTTTATTAATAAGATTA
+>LAGGING_16::ref:2419321-2419361
+ATTCTTCACACTGTGCTTAATCTCTTTATTAATAAGATTA
+>LEADING_0::ref:2419611-2419651
+CAAATTCCACAAACAGGTAGTTGGGGAACAATGGCTCACT
+>LAGGING_16::ref:2422726-2422766
+CGCGCCACCGTTGAGGTTGATCTTCTCGTCAATCTGCTCA
+>LAGGING_16::ref:2424146-2424186
+CCTTTGCTGTCTTCTTTATAACGCCAGAAACCGAGGCCGT
+>LEADING_0::ref:2424021-2424061
+CCACTTCGTTGACCATCGGGATCATCATGCGGGCGATAAT
+>LAGGING_16::ref:2424891-2424931
+TTAACGACTTGTCGTTGATATCTTTCATGACAACCGGCAC
+>LEADING_0::ref:2425862-2425902
+CCTGGGGCATCAAATACCAGTTCGGCAATGCCATCTTCCA
+>LAGGING_16::ref:2427873-2427913
+TATACTTTGCAATGTGAATATCATCAGTTAACCGGCATTG
+>LAGGING_16::ref:2428822-2428862
+TATTAACACTATCATTGCTATCTTCCTGCTGATCTCCGGC
+>LAGGING_16::ref:2429008-2429048
+TTCGGCGCTGATGACAATTAACCAGGCGTTTTTCCAGGTG
+>LAGGING_16::ref:2435968-2436008
+CATCACTGGCTACAGCAATAACATGCCTGTCTATCACTAA
+>LAGGING_16::ref:2443000-2443040
+CGAAACCGACAGCCTTGATAACATCTCTGCTAACCTGGTC
+>LAGGING_16::ref:2444042-2444082
+GCGGACTACTCGCAGATTGAACTGCGCATTATGGCGCATC
+>LAGGING_16::ref:2447539-2447579
+AGAAGTGCAACGTCTGGTTAACCGCGAGCAGGATGAAGAG
+>LAGGING_16::ref:2451121-2451161
+ATTTAATGAGAAGTAGCTCAACAGTTCCGGTAACGGTGTA
+>LEADING_0::ref:2462238-2462278
+GCCCATTCGCTATCGGCGCGATAAAAGACCGGCGGCTTGC
+>LAGGING_16::ref:2462853-2462893
+TATTTCTGGCTACCGGTAGAACCGGCGCGCATAAAGAAAA
+>LAGGING_16::ref:2463056-2463096
+TTCAATCATGTTCTTTTTGATCACTTCCTTGAACCAGGCG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LAGGING_16::ref:2470510-2470550
+GGAGGCAAAAATGCTCTATATCTTTGATTTAGGTAATGTG
+>LEADING_0::ref:2475107-2475147
+TCATGCCCATAACCTTATTGATGTGGTGGTGGGTAAATTG
+>LAGGING_16::ref:2486784-2486824
+CAAGGTAACCGATGGATTCAACTACCCAGGTAAACGACGG
+>LEADING_0::ref:2489095-2489135
+AATTGTCGTGATATGGTGCGATATCGGCGTCATCCAGGCG
+>LEADING_0::ref:2491385-2491425
+GTCTCAGGATTAATAAAGCGATCGTCATTGGGATTGATAA
+>LAGGING_16::ref:2498552-2498592
+GCCTGCAAATGCGAAGTTTAACTCCGCTTATACAGCGGCA
+>LEADING_0::ref:2500902-2500942
+GCAGTACGCAGAGCCATATGTTCGACGGCATAAGTTTAAC
+>LAGGING_16::ref:2501139-2501179
+ACCAAATGTATCGCCTGTTAACGCCGGAGCAGCAAGCGGT
+>LAGGING_16::ref:2513116-2513156
+TGCTTGTAGGCATGCTGTAAACTTATCGTTAACGAGCAAA
+>LEADING_0::ref:2513186-2513226
+GCCTCGTCATAAAATGAGCGTTATCGCGCCATTTATTCCA
+>LEADING_0::ref:2515964-2516004
+CGTGCTGCTCAACAGCGTCGATAGCGTCTTGCTTCAGCTC
+>LEADING_0::ref:2515964-2516004
+CGTGCTGCTCAACAGCGTCGATAGCGTCTTGCTTCAGCTC
+>LAGGING_16::ref:2518466-2518506
+CGTGTTGCCCCTGCATTTGATCAAGCAATAACAGCATAGC
+>LAGGING_16::ref:2519049-2519089
+ATCAATTTGCTTGGTGATGATCAAATCGATAAAGGTTTTT
+>LEADING_0::ref:2519110-2519150
+CAGTCGCCAATCAGCACCAGATATCCGTGATTTGCCGCCG
+>LAGGING_16::ref:2522141-2522181
+TGGCCGTGTTGACCGCTTCAACAAGCGTTTCAACATCCCG
+>LAGGING_16::ref:2523987-2524027
+TATCGCGTGTTGTTTGTTGATCAAGGCGATGAACAGGCAT
+>LEADING_0::ref:2523995-2524035
+GTTGTTTGTTGATCAAGGCGATGAACAGGCATTACGGGCA
+>LAGGING_16::ref:2524139-2524179
+GGCGGTGAGCGTGGTGGATAACACCTTCTTAAGCCCGGCA
+>LEADING_0::ref:2526606-2526646
+CCGTCGGTGCGGGCTTGCCGATCAACCACACCGTGCGCGA
+>LAGGING_16::ref:2528727-2528767
+CGTGGATTAATTCAATTATAACTTCTCTCTAACGCTGTGT
+>LEADING_0::ref:2528659-2528699
+GCTTAATTAAGATCAATTTGATCTACATCTCTTTAACCAA
+>LAGGING_16::ref:2528901-2528941
+CGCGACTGGTGGCCAAATCAACTTCGTGTTGACCTGTTAA
+>LAGGING_16::ref:2531983-2532023
+TTTTTCTTCATGTGGGGCGATCTCTTATTTAACAAAATAA
+>LEADING_0::ref:2532027-2532067
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+>LEADING_0::ref:2532027-2532067
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+>LEADING_0::ref:2532027-2532067
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+>LEADING_0::ref:2532027-2532067
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+>LEADING_0::ref:2532027-2532067
+AATGCCCCACCATCCGCCAGTTAAACAGCACATCTTCTTC
+>LAGGING_16::ref:2532277-2532317
+GTTGCTGTCCGGGCGCTTTAACTTCCATTTTTGCGGGTAC
+>LEADING_0::ref:2533050-2533090
+ACATCTTCTTTAATATCCAGTTGAGCGAGAGTTATTGGCA
+>LEADING_0::ref:2533594-2533634
+ACTCACCCTCATCGGTGTAGATAACAGACAATGCGCTGCA
+>LAGGING_16::ref:2534822-2534862
+AGCGTGTTTGTTCAGGGTTAACATAATGATGAATTGCGCT
+>LAGGING_16::ref:2534822-2534862
+AGCGTGTTTGTTCAGGGTTAACATAATGATGAATTGCGCT
+>LAGGING_16::ref:2534822-2534862
+AGCGTGTTTGTTCAGGGTTAACATAATGATGAATTGCGCT
+>LEADING_0::ref:2534830-2534870
+TGTTCAGGGTTAACATAATGATGAATTGCGCTTCATCATC
+>LEADING_0::ref:2534830-2534870
+TGTTCAGGGTTAACATAATGATGAATTGCGCTTCATCATC
+>LAGGING_16::ref:2535424-2535464
+GGCTGTTGTAGTGACGAGTAACCTTAGCGTTATCGCGATC
+>LEADING_0::ref:2539635-2539675
+AGCTGCTGACTATTGCAGAGATCTCCCGCCATAACGCGCA
+>LAGGING_16::ref:2540242-2540282
+AACCTACGGCTTGCATGACATCGCGATGTTTAATCTGCTG
+>LAGGING_16::ref:2544368-2544408
+TGGTGTACGGACGAGACGTAACTACGTTATTAAACACGGT
+>LAGGING_16::ref:2544368-2544408
+TGGTGTACGGACGAGACGTAACTACGTTATTAAACACGGT
+>LAGGING_16::ref:2544368-2544408
+TGGTGTACGGACGAGACGTAACTACGTTATTAAACACGGT
+>LAGGING_16::ref:2545096-2545136
+ATGCCGTTAGTGCCACTATAACCACTGATGTAAATAATGG
+>LAGGING_16::ref:2545096-2545136
+ATGCCGTTAGTGCCACTATAACCACTGATGTAAATAATGG
+>LEADING_0::ref:2548248-2548288
+CACGACGCTTTAAATAAGCGTAACTTATGGAAATGTTAAA
+>LAGGING_16::ref:2551033-2551073
+GGCGCTGGAACGTCTGTTTAGCGCACTGGTGAATTATCGT
+>LAGGING_16::ref:2551172-2551212
+CTGCGGGTGACGCCTGCTGATCAGATAGACATTATCACCG
+>LEADING_0::ref:2551176-2551216
+GGGTGACGCCTGCTGATCAGATAGACATTATCACCGGAGC
+>LAGGING_16::ref:2551360-2551400
+AGGTTCGCCTAAGCTTATCAACTCCTTGCTGGAGAACGGT
+>LAGGING_16::ref:2551565-2551605
+ATGACCGCCGCGAAAGCAGAACAACTGATTGAGCAGGGCA
+>LEADING_0::ref:2552755-2552795
+GCCGCTGGCTTACAACAAAGATATGCAGGAAGACAAAGAA
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LAGGING_16::ref:2553942-2553982
+TGAGCCAATGTTGCTGGCTATCTATGAAGATCACCCGTGG
+>LEADING_0::ref:2558038-2558078
+TGTTGATCGAAAATGATGTGATACAGGTCATCGCCATCGT
+>LEADING_0::ref:2560085-2560125
+CCACTGACGCATACTGTGAGTTATGATTATGTCGATGCGC
+>LEADING_0::ref:2588212-2588252
+GCCTCACCCGTTAACCGTTGTTGTAATGCTGTCAGTTGAA
+>LEADING_0::ref:2588775-2588815
+GGAACACATGTCCCAGCGCGATATAAGAGGGGCGTGCTGC
+>LAGGING_16::ref:2589696-2589736
+CGCTTCGTGGCAGTGCTCTAACTCCTCGGTCATATTGCGG
+>LEADING_0::ref:2591264-2591304
+CATTGAATGTAAATTACGCGTTAACAGCGCAGAACTCAAG
+>LEADING_0::ref:2591264-2591304
+CATTGAATGTAAATTACGCGTTAACAGCGCAGAACTCAAG
+>LAGGING_16::ref:2591855-2591895
+GGTAGTGCAAGAGCTATGGATCGTATAATTGAAAAATTAG
+>LAGGING_16::ref:2592068-2592108
+TCGGTACGTCAGGTCATTGATCTCGATGTTGGGCTGTTTC
+>LEADING_0::ref:2598486-2598526
+CGCTGAAAGAGATCAAAGCGTTAAACCCGGCAATTCCGGT
+>LEADING_0::ref:2599604-2599644
+TCGCGTTAGTTCTGCTCGCGTTCGATAGCGCGCCAGCCGA
+>LAGGING_16::ref:2613239-2613279
+CGCCGCGAAAGATGGCTATACCTTCGTATCTCACCAGCAG
+>LEADING_0::ref:2613787-2613827
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+>LEADING_0::ref:2613787-2613827
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+>LEADING_0::ref:2613787-2613827
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+>LEADING_0::ref:2613787-2613827
+CGCGGCATTTTTACTACGTGTTAAAGAGCATTACACCCGG
+>LAGGING_16::ref:2614778-2614818
+GAACAAATTGTGATTCGCCATCTTTATATTGAGCGGCGGA
+>LAGGING_16::ref:2618190-2618230
+CGATAATAATCGCTTCGTGATCGCTTTGATCAAGCACCGC
+>LAGGING_16::ref:2619973-2620013
+CGGCGCGCAGATTATCGATATCAACATGGATGAAGGGATG
+>LEADING_0::ref:2621841-2621881
+ACGAAACGCGTACCCATGTGATCAACGTCAGCCACCATCT
+>LEADING_0::ref:2624221-2624261
+ACATTTAGGCTTACTGGGAGATATGCAGCGCCTGAACTCG
+>LAGGING_16::ref:2626924-2626964
+TTATGGCTGGATGCGCCATAACAAATCATGCGAATGTTGA
+>LAGGING_16::ref:2628182-2628222
+AGACAACAATTTCAGACATAACTACCTCGTGTCAGGGGAT
+>LAGGING_16::ref:2628182-2628222
+AGACAACAATTTCAGACATAACTACCTCGTGTCAGGGGAT
+>LAGGING_16::ref:2629801-2629841
+GTATGTTGACCGTAACGGTAACGTTGTGGATTACCAGACT
+>LAGGING_16::ref:2632747-2632787
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+>LAGGING_16::ref:2632763-2632803
+CTGAACTATCGCGATAACGATCAGTACCGTTATTACTCAG
+>LAGGING_16::ref:2632763-2632803
+CTGAACTATCGCGATAACGATCAGTACCGTTATTACTCAG
+>LAGGING_16::ref:2632747-2632787
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+>LAGGING_16::ref:2632747-2632787
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+>LAGGING_16::ref:2632747-2632787
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+>LAGGING_16::ref:2632747-2632787
+GGAAGGGGAGTTGAGTCTGAACTATCGCGATAACGATCAG
+>LEADING_0::ref:2634161-2634201
+TACGGTCAGGTCTACGGTGGTTATCTCGAAACCATGTTTG
+>LEADING_0::ref:2635214-2635254
+AACATACACAAAAAATATAGATCTCCGTCACATTTTTGCG
+>LAGGING_16::ref:2635573-2635613
+CACCGCCATTGTGCGCTTGATCATCGTCGATCATAAATCG
+>LEADING_0::ref:2635582-2635622
+TGTGCGCTTGATCATCGTCGATCATAAATCGCCACTGGAT
+>LEADING_0::ref:2635582-2635622
+TGTGCGCTTGATCATCGTCGATCATAAATCGCCACTGGAT
+>LAGGING_16::ref:2636234-2636274
+CGGTGAAGGTGAGGTTGATAACTCCGACAATAATGGTCTG
+>LAGGING_16::ref:2636234-2636274
+CGGTGAAGGTGAGGTTGATAACTCCGACAATAATGGTCTG
+>LEADING_0::ref:2637534-2637574
+ACAAGTTGGGATAACGTAAGTTGAGGGTGCAGCGGCATAA
+>LEADING_0::ref:2637805-2637845
+TGGCAGCGATAAACGACAGGATGAATACCACCGCCAGAAT
+>LEADING_0::ref:2638029-2638069
+GGAATGTACTCACCCAGACGATCAAACAACGCATACAACG
+>LEADING_0::ref:2642071-2642111
+AGAGGTGATTAACCAACGCGTTAACCAGGTGGCGGAAGTG
+>LAGGING_16::ref:2643582-2643622
+TGTCGACTACGGTCGTGCCAACTTGCGTGATAACTATCGT
+>LAGGING_16::ref:2643594-2643634
+TCGTGCCAACTTGCGTGATAACTATCGTCTGGTTGATGGC
+>LEADING_0::ref:2647447-2647487
+TTACGTTATGTAACGGAGAGTTCGGCATGTCACACCCCGC
+>LAGGING_16::ref:2667212-2667252
+CAATCACGGTATTACCGAGATCGCGCAGATGGATAAGCGT
+>LAGGING_16::ref:2667296-2667336
+GCTCGTCCAGCACGTACATAACGCCAACCAGGCCCGCACC
+>LEADING_0::ref:2667527-2667567
+GACCAATGCTCATGTCGGAGATAGCAGGCAGCGGCGTATT
+>LAGGING_16::ref:2667831-2667871
+CCACGGCGCTTCGACGTCGAACTTATAGTGATCTGCCAGC
+>LEADING_0::ref:2678522-2678562
+AAAGCAGAATGATCGGGAAGTTACAGCTCGCCGCGATGGC
+>LAGGING_16::ref:2680225-2680265
+TCCCTTATGGGAGAAGGTTAACGCTCGGGTAACCCTTGCC
+>LEADING_0::ref:2684887-2684927
+GCATGGTGCATGACGAGTCGTTATGCATCGGCTGTACCGC
+>LEADING_0::ref:2688692-2688732
+ATTGCAGGATAAAATCCGCGCTAATCCACAAAACAGCGAA
+>LEADING_0::ref:2689594-2689634
+CCATCTGATTAAAATGATTGTTGTGCCGATTGTGATCTCC
+>LAGGING_16::ref:2690089-2690129
+GATTGCGGTGACGGTGGCTAACTTTGGTTTCTCGTCTCTG
+>LAGGING_16::ref:2697707-2697747
+CAGGATCGGTCCGGCGATGATCAATCGGATCAACGGTTCG
+>LEADING_0::ref:2703237-2703277
+TGCGGCCGCGTCACCATCAGATGACAGTCGAGCGGTTTAG
+>LEADING_0::ref:2709819-2709859
+CCCTGGACGTGATCCATATGATAATGCGTCAGCAAAAACT
+>LEADING_0::ref:2712643-2712683
+CCCACTCGTCACCGTGTTTGATCTGGATTTGACCTTCGTC
+>LEADING_0::ref:2715473-2715513
+CCGCCTTCGGTCATCACGCGATCTACCGCGAGGTTAAGCT
+>LAGGING_16::ref:2718561-2718601
+GTTCATAAAGAAGTCGTAGATCTTGTCTTTGGTGGTTTCG
+>LAGGING_16::ref:2719257-2719297
+TAACAGGGTGCTGAGGCTGAACATGCTGGTGAAGGCCAGC
+>LAGGING_16::ref:2725843-2725883
+GGCACCGATTCTGCTGTTGATCTGTAAGATGGCACAAGGT
+>LAGGING_16::ref:2726488-2726528
+CCCGGCGTTTATTCTGATTAACAGTAACGTCATCGGCCTG
+>LAGGING_16::ref:2732330-2732370
+ACTGGTGTTTTCGCTTTTCAACTTTTTCTTTAACAGACTT
+>LAGGING_16::ref:2738488-2738528
+GAGGATCTGGGATGCTATTAACGATCCGATTATGGGATGG
+>LAGGING_16::ref:2738488-2738528
+GAGGATCTGGGATGCTATTAACGATCCGATTATGGGATGG
+>LEADING_0::ref:2749867-2749907
+TTAGTGTTATAAACTGAAAGTTAATTTATTCATAACCAAT
+>LEADING_0::ref:2750480-2750520
+GCCTGACGATTCACAAAGCGATCGATAAACAAGCTGATGG
+>LAGGING_16::ref:2751962-2752002
+GATACCGATGCTGAACAGGAACAGCAGGTTATACGGACCG
+>LEADING_0::ref:2755870-2755910
+ATGTGCCTGATAAAAATTAGTTAATAACGCACCACGATGC
+>LEADING_0::ref:2759043-2759083
+ACATGTTCCCGCTTTGGGCGATATACAGCAGAATCGCGCT
+>LEADING_0::ref:2762085-2762125
+AACCTTCGCACACTTCTTTGTTAGCAGTGATGCCGTTAAT
+>LAGGING_16::ref:2763201-2763241
+CAATCGCTCTCAGAGTGTGAACACCATAGTAGGCATCAGC
+>LAGGING_16::ref:2764792-2764832
+ACACCAGAACATCACTGATAACGCAGCAAATAACCCGGTA
+>LEADING_0::ref:2765308-2765348
+AGTGCCTAATAATGACGTCGATAGCAGGCCAATGCCCTGG
+>LEADING_0::ref:2765308-2765348
+AGTGCCTAATAATGACGTCGATAGCAGGCCAATGCCCTGG
+>LAGGING_16::ref:2769558-2769598
+TCAGGCAATTTTAATGTTTAACTTCCCTGTTTAATCAGTT
+>LEADING_0::ref:2774216-2774256
+GCAGAATACCCACCAGCAGGATCATCACCGGCGCAATGAT
+>LEADING_0::ref:2775178-2775218
+GATCGCGTTCAATCGGGAAGTTAGCTAACGCTTCAACCTT
+>LEADING_0::ref:2775178-2775218
+GATCGCGTTCAATCGGGAAGTTAGCTAACGCTTCAACCTT
+>LEADING_0::ref:2775178-2775218
+GATCGCGTTCAATCGGGAAGTTAGCTAACGCTTCAACCTT
+>LAGGING_16::ref:2776697-2776737
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+>LAGGING_16::ref:2776697-2776737
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+>LAGGING_16::ref:2776697-2776737
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+>LAGGING_16::ref:2776697-2776737
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+>LAGGING_16::ref:2776697-2776737
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+>LAGGING_16::ref:2776775-2776815
+GGCCGCGAACATGACCATCATCAACCAGAATATCCAGCAC
+>LAGGING_16::ref:2776697-2776737
+CCGCACCGCCAGTAGCCATAACGACCGCGTTAGCACGGAT
+>LEADING_0::ref:2781952-2781992
+CAATGACAGAAAGCAGGGCGATCAACATCAAAATTGAGCG
+>LEADING_0::ref:2782300-2782340
+ACGGCGCGCCAATCATCATGTTCCACAGCATATGGTTGGT
+>LEADING_0::ref:2783146-2783186
+CGCCACCCTGCAACAATGAGTTCAGCAACTCACGCTGAGT
+>LEADING_0::ref:2783146-2783186
+CGCCACCCTGCAACAATGAGTTCAGCAACTCACGCTGAGT
+>LEADING_0::ref:2788758-2788798
+GCGTGCTGGCAAATGCGGCGTTAGCAGGAAGGTAATTCAT
+>LAGGING_16::ref:2789405-2789445
+GTCTGGCCCGAATCGGTAGATCTGATTGTTGATGCGCTGC
+>LAGGING_16::ref:2791571-2791611
+GGCAGCGCGCGCGACGGCTAACACTGGCGATAAAATTATC
+>LAGGING_16::ref:2792057-2792097
+TGATGTAGCGACCAGTATGATCAGTCAGTTGCAACGCATT
+>LAGGING_16::ref:2794831-2794871
+GCGAGCCGTGAACTGCTCCATCAACGCATTGAGCAGCGTT
+>LAGGING_16::ref:2795354-2795394
+GGGCAAATCGAGTCTTTTGATCAGTTCGTGATCCTGTTGA
+>LEADING_0::ref:2798613-2798653
+AAGTGCTGTTGAAACGTAAGTTCTCTGACCGTCTGCGTTC
+>LEADING_0::ref:2798883-2798923
+TCGATGTGCGTATCAAGCAGATCAACCTGCCGACCGAAGT
+>LEADING_0::ref:2798883-2798923
+TCGATGTGCGTATCAAGCAGATCAACCTGCCGACCGAAGT
+>LAGGING_16::ref:2799424-2799464
+GAAGGCATGGAAGAAGATGATCTCTGCGATGACCAATTTG
+>LAGGING_16::ref:2801498-2801538
+TTTTCTTACGGAACTGGATAACTACACGCTTGCCGATTTG
+>LAGGING_16::ref:2802386-2802426
+GCAAAAGCGGGCCGTGTTGATCTGCGCGATTTACCGCTGG
+>LAGGING_16::ref:2802528-2802568
+GCTACTATGTGCGTCCGTCAACGCCGCTGGACAGAGAAGC
+>LAGGING_16::ref:2809083-2809123
+AATGGGGATCCGTGAAGATAACACACTGATCACCAAAGAC
+>LEADING_0::ref:2809091-2809131
+TCCGTGAAGATAACACACTGATCACCAAAGACACCTCACG
+>LEADING_0::ref:2809091-2809131
+TCCGTGAAGATAACACACTGATCACCAAAGACACCTCACG
+>LEADING_0::ref:2809091-2809131
+TCCGTGAAGATAACACACTGATCACCAAAGACACCTCACG
+>LAGGING_16::ref:2811285-2811325
+ACATGTTGCAGGGCATTCCATCGCGGTAATAAACGCCCAG
+>LEADING_0::ref:2816400-2816440
+GCAGTTCCATGATCATGAAGATGAAAGTGGACCAGTTTTT
+>LEADING_0::ref:2817986-2818026
+GGCGCTGGTCAATGCGATTGTTGAAACCGGCGTGCGCGTG
+>LAGGING_16::ref:2818259-2818299
+GGTGACGCTGGCGATGGAGATCATGGATTATCCGTTGATG
+>LAGGING_16::ref:2818259-2818299
+GGTGACGCTGGCGATGGAGATCATGGATTATCCGTTGATG
+>LEADING_0::ref:2818980-2819020
+CGGGGCTGGCGATCCCGGCGTTAGGCACCACGCACGCCGA
+>LAGGING_16::ref:2819191-2819231
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+>LAGGING_16::ref:2819191-2819231
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+>LAGGING_16::ref:2819191-2819231
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+>LAGGING_16::ref:2819191-2819231
+TGCTCACGATGCGGTGCATAACGCGGTGGTGATGGAAGAA
+>LAGGING_16::ref:2821435-2821475
+GTTCTGCGTACCACTGGCGAACACGAAGTGAGCTTCCAGG
+>LEADING_0::ref:2826356-2826396
+CAATCAGTTCATTAATGCCGTTATACATCGCTTTCCAGGT
+>LAGGING_16::ref:2827574-2827614
+ATCGGGGAGTCCGTGGTTTAACTCAGCAATATTCACACAC
+>LAGGING_16::ref:2828110-2828150
+GGAGGATGCCACTTTAATTAACTAGTTATTAACATTAAAA
+>LEADING_0::ref:2828115-2828155
+ATGCCACTTTAATTAACTAGTTATTAACATTAAAAAGATG
+>LAGGING_16::ref:2829440-2829480
+CGGGATGAACGTGCGGCATAACTGCCGGATGCGCTGAGCT
+>LAGGING_16::ref:2830041-2830081
+GATAATTCACACCATCAATAACATCAAAGTTATAAGTGCG
+>LAGGING_16::ref:2830041-2830081
+GATAATTCACACCATCAATAACATCAAAGTTATAAGTGCG
+>LEADING_0::ref:2830050-2830090
+CACCATCAATAACATCAAAGTTATAAGTGCGGAAACCATC
+>LEADING_0::ref:2830050-2830090
+CACCATCAATAACATCAAAGTTATAAGTGCGGAAACCATC
+>LEADING_0::ref:2830050-2830090
+CACCATCAATAACATCAAAGTTATAAGTGCGGAAACCATC
+>LEADING_0::ref:2830610-2830650
+TTACCGCTGTCATTACTGAGTTGTAAGTCGACCACACCAA
+>LEADING_0::ref:2834712-2834752
+GTCCGAAGTTAACCGTCAGGTTATGCGTCTGCAAACAGAG
+>LEADING_0::ref:2834712-2834752
+GTCCGAAGTTAACCGTCAGGTTATGCGTCTGCAAACAGAG
+>LEADING_0::ref:2836061-2836101
+TTGCCTTCATCAGCCAGCAGTTTAAGTTTGATTTTGCGTG
+>LAGGING_16::ref:2840929-2840969
+TTCGCAGCCGGATGTAAATATCAACCTCGTCACCCTGAAT
+>LEADING_0::ref:2841609-2841649
+TCCGTAACTTCAACCTTGCGATGATAAACCCCATCTTTAC
+>LAGGING_16::ref:2842261-2842301
+GCTGGGTCTGAACGGGCAGATCAACATCCCTGAAGGGCGC
+>LAGGING_16::ref:2842935-2842975
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+>LAGGING_16::ref:2842935-2842975
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+>LAGGING_16::ref:2842935-2842975
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+>LAGGING_16::ref:2842935-2842975
+GGGCGATTTCAGTATCGATAACTACCAGTTGTATAGCCTG
+>LEADING_0::ref:2842943-2842983
+TCAGTATCGATAACTACCAGTTGTATAGCCTGGGCCACTA
+>LEADING_0::ref:2842943-2842983
+TCAGTATCGATAACTACCAGTTGTATAGCCTGGGCCACTA
+>LAGGING_16::ref:2848068-2848108
+CCTGCCAACGCCGGTCATTATCGCGGTGCTGACGCTTATC
+>LAGGING_16::ref:2848092-2848132
+GGTGCTGACGCTTATCCTGTTCTGGCTGTTGACCCGCAAA
+>LAGGING_16::ref:2850282-2850322
+CTTCAAAGACGACAATCTCATCTTCTTCTTCAGAGGCAAT
+>LEADING_0::ref:2853208-2853248
+GCGGCGCTGGATATTGCCCGTTATACCTCGCCAGATCCCT
+>LEADING_0::ref:2853504-2853544
+AATTGCCGAAGAAAATGGCGATATGGAGCGTGATTACGCC
+>LEADING_0::ref:2853504-2853544
+AATTGCCGAAGAAAATGGCGATATGGAGCGTGATTACGCC
+>LEADING_0::ref:2857087-2857127
+TCAGGTCGATCAACATGCAGTTGAACATCGGGAAGAACGG
+>LEADING_0::ref:2857634-2857674
+TCCATATTTTTAAGAACAGGTTATCCACAGAAATTGGGAA
+>LAGGING_16::ref:2863776-2863816
+CAGCGAACGCGTGCTGCATAGCGCGTGGTTGAACAGTCAT
+>LEADING_0::ref:2879809-2879849
+CTCAAAACGCTCAACGTAAGTTAACACGTCGCACAGTACC
+>LEADING_0::ref:2879809-2879849
+CTCAAAACGCTCAACGTAAGTTAACACGTCGCACAGTACC
+>LEADING_0::ref:2892039-2892079
+GTGAACGTAATATCGCTGAGTTAAAAACTCGAGATTTATT
+>LEADING_0::ref:2894628-2894668
+TAAAAACCATAACAGGTTAGTTATCTTCGTCTGTCAGCGG
+>LAGGING_16::ref:2895996-2896036
+TTCTCTTGTTGCACGATCGATCAATTGTTATGCATGCTGA
+>LEADING_0::ref:2896803-2896843
+GTGATGCGCTAAAAAATGCGTTAATGTTGAGTTCCTCGAA
+>LAGGING_16::ref:2902191-2902231
+TTTAAACGCGAATCCGCTCAACTGGTTGTTGACCAGAAAT
+>LAGGING_16::ref:2905215-2905255
+TGATTTACGTTGGCGTCTGATCATTGATTTATCCTCAAAA
+>LAGGING_16::ref:2905240-2905280
+GATTTATCCTCAAAAGCCCAACCTCATTGGTAATGAACCA
+>LAGGING_16::ref:2907624-2907664
+ACCAACCAGAAGCAGCACTAACATATTGATGACCAAACGT
+>LEADING_0::ref:2907632-2907672
+GAAGCAGCACTAACATATTGATGACCAAACGTAGCCTCGT
+>LEADING_0::ref:2907632-2907672
+GAAGCAGCACTAACATATTGATGACCAAACGTAGCCTCGT
+>LEADING_0::ref:2914987-2915027
+ATCAGCTTTGTATCATCACGTTTTCCGGCATGTTCGCCAT
+>LAGGING_16::ref:2919419-2919459
+ACGACGGGCGTACCGACTTAACTGTGTTGATCATCGTACG
+>LAGGING_16::ref:2919419-2919459
+ACGACGGGCGTACCGACTTAACTGTGTTGATCATCGTACG
+>LAGGING_16::ref:2919419-2919459
+ACGACGGGCGTACCGACTTAACTGTGTTGATCATCGTACG
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LEADING_0::ref:2919428-2919468
+GTACCGACTTAACTGTGTTGATCATCGTACGCAAGTGACC
+>LAGGING_16::ref:2923261-2923301
+CGTTTCTTTGACCCGTTTTAACAGCGCGCTGTCGGTACGC
+>LAGGING_16::ref:2924251-2924291
+TAAAATGCTGGCCAGAATTAACATAATGGGTATCAGTAGC
+>LEADING_0::ref:2925892-2925932
+GGGTGTCACACGATGGAGTGATATCAATACCAATCGCCAG
+>LAGGING_16::ref:2929185-2929225
+TATTTACGGAGCGAATATTAACACGTAGTTATAGGAGGGA
+>LAGGING_16::ref:2929185-2929225
+TATTTACGGAGCGAATATTAACACGTAGTTATAGGAGGGA
+>LAGGING_16::ref:2942345-2942385
+TACCAATACCCTGGCTGATAACGTCGATTTAGATAACGCG
+>LAGGING_16::ref:2943378-2943418
+ACCACCAATGCCACGGTTGATCTCGGCGATCTTTATTCTT
+>LAGGING_16::ref:2947424-2947464
+CTACGGCGTGCGTGCTGACAACGATCTGGTTGATATGATC
+>LAGGING_16::ref:2947442-2947482
+CAACGATCTGGTTGATATGATCAAGCAGTTCGGTCCGCGT
+>LAGGING_16::ref:2949308-2949348
+GAGTGTGTGGCTGCGCTGTAACTAACTGATTACCCTACAG
+>LAGGING_16::ref:2957298-2957338
+CGCCAGGACGCGAATCAATAACACCAGAATAAATGGCGGC
+>LAGGING_16::ref:2961019-2961059
+TGACACGAATAAACTGCAGATCTTTGCCGATATTTAACTC
+>LAGGING_16::ref:2964174-2964214
+CCGCGAAGGCGATGGCTATATCTATGTGGTGATTGAACAT
+>LAGGING_16::ref:2964575-2964615
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+>LAGGING_16::ref:2964575-2964615
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+>LAGGING_16::ref:2964575-2964615
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+>LAGGING_16::ref:2964575-2964615
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+>LAGGING_16::ref:2964575-2964615
+GTGCTAATGACAGCCAGATAACTGCGCTGTTAAATTACAT
+>LEADING_0::ref:2964584-2964624
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+>LEADING_0::ref:2964584-2964624
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+>LEADING_0::ref:2964584-2964624
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+>LEADING_0::ref:2964584-2964624
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+>LEADING_0::ref:2964584-2964624
+ACAGCCAGATAACTGCGCTGTTAAATTACATTTTACTGAC
+>LAGGING_16::ref:2968527-2968567
+ACCTTCATCGTTGATGCAGATCAATGGCTGTTACAGGGAC
+>LAGGING_16::ref:2971288-2971328
+AGCGCAGTCACTGATGAATAACACGCGAATTACCGGCGTT
+>LEADING_0::ref:2977058-2977098
+TGCCGCCTTCAAACAGCACGTTATCCGGCACCACCACCGC
+>LEADING_0::ref:2977058-2977098
+TGCCGCCTTCAAACAGCACGTTATCCGGCACCACCACCGC
+>LAGGING_16::ref:2978947-2978987
+CCAGACGACGCACCTGTTTATCTATCGTTTCGCTGCGGTC
+>LEADING_0::ref:2981629-2981669
+TGTTGGGATCATCCGGGTAGTTATTTTCCGCCGCACAGGC
+>LEADING_0::ref:2987637-2987677
+ACGCGGCGGTAAAGTGGTAGATAACGTGGTGCAGACTATG
+>LEADING_0::ref:2993190-2993230
+TGAGGTATTTCCACGCCGTGTTGTTCATCGCTAAATGGTC
+>LEADING_0::ref:2994968-2995008
+TCCGCTGCTAAGCAAGTTAGTTAATGACGCGAGCGACCAA
+>LEADING_0::ref:2998617-2998657
+TTTAGCCGGTGAAAGTGAAGATCCACGTTCTGTTTGTGAA
+>LAGGING_16::ref:3000671-3000711
+AGCGATAGGTTTACCCGATAGCAAGGGATTTATCTGGCTT
+>LAGGING_16::ref:3003256-3003296
+CCAGGGCGAGCGTTATCTCAACTTTCAGTTAACGCAAAAC
+>LEADING_0::ref:3008230-3008270
+GAAGACTATAAACTTGGGCGTTTATGCGGTCGTTATTTCC
+>LAGGING_16::ref:3009268-3009308
+CAATGCCTGATGCGACGCTTAACGCGTCTTATCATGCCTA
+>LAGGING_16::ref:3009269-3009309
+AATGCCTGATGCGACGCTTAACGCGTCTTATCATGCCTAC
+>LAGGING_16::ref:3014612-3014652
+GGCGCTACAGAAGATGCAGAACGCTTTGGTGACGTCGGGG
+>LEADING_0::ref:3015292-3015332
+CGTGCTGCAGAAACTGGTTGATGAAAAACACGGCCAGGTG
+>LEADING_0::ref:3016505-3016545
+AGACTACCTTCAACGACATGATCAAAATCGCACTGGAATC
+>LEADING_0::ref:3016505-3016545
+AGACTACCTTCAACGACATGATCAAAATCGCACTGGAATC
+>LEADING_0::ref:3019015-3019055
+TACACTCTTCCACCGCCAGGTTAAACCACGGGTCGTAAGA
+>LAGGING_16::ref:3020522-3020562
+ACCGCCGTGGTAGCCAATGAACTGGAGATCATGGACGGTA
+>LAGGING_16::ref:3024221-3024261
+TGGCATCTCGGTGTTGCCGATCTTCATGATATCCAGCCCG
+>LEADING_0::ref:3024229-3024269
+CGGTGTTGCCGATCTTCATGATATCCAGCCCGCCGGAAAC
+>LAGGING_16::ref:3025907-3025947
+TACCGCCAGATCACCGATGATCTGATGAATCAACCGGCGG
+>LEADING_0::ref:3036258-3036298
+CCGGGTTGACTAACGAAGAGTTAGCGTTGGCTGACGTTCT
+>LAGGING_16::ref:3038705-3038745
+TCGTCGATGGATTACTACCATCAGTTGCGTTATGCGGCGG
+>LAGGING_16::ref:3043188-3043228
+TGGCGACCGATATCCGGATAACGCAATGGATCAAACACCG
+>LAGGING_16::ref:3043188-3043228
+TGGCGACCGATATCCGGATAACGCAATGGATCAAACACCG
+>LAGGING_16::ref:3044810-3044850
+AGACCGGTTACATCCCCCTAACAAGCTGTTTAAAGAGAAA
+>LEADING_0::ref:3044818-3044858
+TACATCCCCCTAACAAGCTGTTTAAAGAGAAATACTATCA
+>LAGGING_16::ref:3051982-3052022
+CACCTGTAAAGTGGCGGGGATCACTCCCATAAGCGCTAAC
+>LEADING_0::ref:3056261-3056301
+AGGTGGGGGAGATAGATTAGTTGTACATTACCACGATTTT
+>LAGGING_16::ref:3064373-3064413
+ACGCGGCAACTGTACGCCAAACGCCGAGTTTAATATTGCT
+>LAGGING_16::ref:3064480-3064520
+TCACCAATCAGGCAATATTAACTCCTGACTATCTCTCTAC
+>LAGGING_16::ref:3071300-3071340
+AGTATGCGTCGTTAATTTTATCTCGTTGATACCGGGCGTC
+>LAGGING_16::ref:3071300-3071340
+AGTATGCGTCGTTAATTTTATCTCGTTGATACCGGGCGTC
+>LAGGING_16::ref:3076966-3077006
+CGACAAACAGTTCCTGCTCATCATTTAAATTAAAATCCAT
+>LAGGING_16::ref:3082160-3082200
+GTGAAGGCCGATGCTGATAAACAGGCGCTGGAGCTGCTGG
+>LEADING_0::ref:3082805-3082845
+CCACCTCAATGATCACCGAGTTCTCCAGTACCCGTCAGCG
+>LEADING_0::ref:3090732-3090772
+CTTTCCGCTTCGTTCACCTGATCAGAGGTCGGGTTTTCCG
+>LEADING_0::ref:3097668-3097708
+ACGATCATGTTGTCGCCGCGATCGTCCTGATTGATACCGA
+>LEADING_0::ref:3097909-3097949
+GATCCGGTGAAGCCAGATAGTTAATCAGATCGTTGTATAC
+>LEADING_0::ref:3097921-3097961
+CCAGATAGTTAATCAGATCGTTGTATACGCTATCGTAAAT
+>LEADING_0::ref:3097921-3097961
+CCAGATAGTTAATCAGATCGTTGTATACGCTATCGTAAAT
+>LAGGING_16::ref:3098144-3098184
+CATCACCATGTGGCTGGCGAACTGGAAGTTACGTCCTTCA
+>LAGGING_16::ref:3098254-3098294
+CACGTTCGATAATCGACATACCTTCGTGGAACACCGCAGC
+>LEADING_0::ref:3098152-3098192
+TGTGGCTGGCGAACTGGAAGTTACGTCCTTCAGAACCGAT
+>LEADING_0::ref:3098152-3098192
+TGTGGCTGGCGAACTGGAAGTTACGTCCTTCAGAACCGAT
+>LAGGING_16::ref:3107032-3107072
+GCTGCCGGGATACTCGTTTAACGCCCATCTGGTGGCGGGT
+>LAGGING_16::ref:3107055-3107095
+CCCATCTGGTGGCGGGTTTAACGCCGATTGAGGCCAACGG
+>LAGGING_16::ref:3107759-3107799
+AATGTTGGTTTTGACGATCAACTCTATTTCTCGCGAGTAT
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LEADING_0::ref:3107640-3107680
+CACATCTTTTCCGCCAGCAGTTAGGGATTAGCGTCTTAAG
+>LAGGING_16::ref:3107759-3107799
+AATGTTGGTTTTGACGATCAACTCTATTTCTCGCGAGTAT
+>LEADING_0::ref:3116742-3116782
+GCAGACGGCCTTTGACATAGTTAAAGGTGGTTTCGTCCGG
+>LAGGING_16::ref:3119387-3119427
+AATATCCTTACGAACTTTGATCGCCATGATGACTTCTTCC
+>LAGGING_16::ref:3121218-3121258
+CCGACTGCTCGCGCATTTCAACTTTTTGGTTCAGTTCGTC
+>LAGGING_16::ref:3125031-3125071
+CCTGAGCATCCTTTTTATCAACGCTGGGCTAACGACCCGT
+>LAGGING_16::ref:3125695-3125735
+GTAGAGTACGGGACTGGACATCAATATGCTTAAAGTAAAT
+>LAGGING_16::ref:3125768-3125808
+TTAAACCCGCCCGTTAATTAACTCACCAGCTGAAATTCAC
+>LEADING_0::ref:3127281-3127321
+CAACGCCGGTGAAAGATAAGTTTAAACATCCCGCGACCCG
+>LAGGING_16::ref:3147590-3147630
+GCCGCCTGCAATAAAAGCTAACTGTTGAAGTAAAAGGCGC
+>LEADING_0::ref:3151301-3151341
+GCGAGGTTGTCTAACATGAGATCCAGAGAGCCGGATGCCT
+>LAGGING_16::ref:3156298-3156338
+AAATGCATTGCTGTGGATTAACTTTCGTTTTTATCTTGCA
+>LAGGING_16::ref:3166913-3166953
+CATCGTGGTGATGATAATCATCATTGTCATGATGATGATG
+>LAGGING_16::ref:3200301-3200341
+AAGCCGCCACGAATGGTTGATCGCACCGTTATTATTGCAG
+>LEADING_0::ref:3200868-3200908
+CGCCATTCGTTATCATGAAGATAACCCGCCCGCGCTGGCG
+>LEADING_0::ref:3201395-3201435
+CGCGTCCGGTCAAACAAAAGGTAAGCCGTCGTCGTTACGA
+>LAGGING_16::ref:3203945-3203985
+ATATTAACCCTTTCTTTTCATCTGGTTGTTTATTAACCCT
+>LAGGING_16::ref:3205053-3205093
+CAGCTTCGATCACGAATTTAACGACACCTTTACTGTGCGT
+>LAGGING_16::ref:3205629-3205669
+TACCTGGCGTGGTGGTGTTAACTACCTGTTTGATAATGGT
+>LAGGING_16::ref:3205629-3205669
+TACCTGGCGTGGTGGTGTTAACTACCTGTTTGATAATGGT
+>LAGGING_16::ref:3205629-3205669
+TACCTGGCGTGGTGGTGTTAACTACCTGTTTGATAATGGT
+>LEADING_0::ref:3206143-3206183
+AACTCCTTTAAAGTGGGAAGTTATACGGTCGTGGATGCGT
+>LEADING_0::ref:3206143-3206183
+AACTCCTTTAAAGTGGGAAGTTATACGGTCGTGGATGCGT
+>LEADING_0::ref:3206143-3206183
+AACTCCTTTAAAGTGGGAAGTTATACGGTCGTGGATGCGT
+>LAGGING_16::ref:3209451-3209491
+CGCGGCGGTGACGCTGTTGATCATTATGATCGCCGCCGGC
+>LAGGING_16::ref:3209451-3209491
+CGCGGCGGTGACGCTGTTGATCATTATGATCGCCGCCGGC
+>LAGGING_16::ref:3218352-3218392
+GGCCAGGTGAAACGCGGTGAGCTGGGTATTATGGGGACTG
+>LAGGING_16::ref:3218352-3218392
+GGCCAGGTGAAACGCGGTGAGCTGGGTATTATGGGGACTG
+>LAGGING_16::ref:3230061-3230101
+CAAAAACGCCGCTCAGTAGATCCTTGCGGATCGGCTGGCG
+>LAGGING_16::ref:3252262-3252302
+TCCGATTGAATCGCAGTTCAACTATACGCTGGAAGCGGCA
+>LAGGING_16::ref:3253532-3253572
+ATGGGTCTGGCTGGCTGATATCAACGGTACAAGCCGAAAG
+>LAGGING_16::ref:3258782-3258822
+TACTTTGGGATTGCTGGCTAACGCACGGGCAATTGCCACA
+>LEADING_0::ref:3266040-3266080
+ATTGCGTACCGATTATGTTGATCTGACGCTAATCCACTGG
+>LEADING_0::ref:3268949-3268989
+CAATGAAGCCAATCTGATAGTTGATAATTTAATTACAGAT
+>LEADING_0::ref:3270013-3270053
+AGTCGCCGTCAAACATTTTGTTCAGACGCTGCATCATATT
+>LAGGING_16::ref:3272961-3273001
+CGCGGAGTTGGTGATCCATAACGCAGCGTTCGATATCGGC
+>LAGGING_16::ref:3281713-3281753
+ATGCCAGTTGTGGCTGCACAACTTCGTGGCTTAACGGCTT
+>LEADING_0::ref:3285540-3285580
+ACTGCGTAATATCATCATAGTTAAACAAATCAGGAATATA
+>LEADING_0::ref:3285540-3285580
+ACTGCGTAATATCATCATAGTTAAACAAATCAGGAATATA
+>LEADING_0::ref:3285540-3285580
+ACTGCGTAATATCATCATAGTTAAACAAATCAGGAATATA
+>LEADING_0::ref:3286413-3286453
+AGACGCCGCCGATCAGGTTGATCGCCAGAATCATCATCCC
+>LEADING_0::ref:3286656-3286696
+CTTTGGTGACGACAATAAAGTTGATTGTCAACAGCGTCAG
+>LEADING_0::ref:3291213-3291253
+CGTAGTCTTTACCGCTGTCGATCAGTGAACGGATCAGGCA
+>LAGGING_16::ref:3294191-3294231
+TGCTGGGACGTCGCTGCCCAACGCCAATGTTATCAGGCTA
+>LAGGING_16::ref:3310115-3310155
+TGCCACAGGGCGGTGTTATATCGCCGCTATTATCGAACAT
+>LEADING_0::ref:3310110-3310150
+AGGTGTGCCACAGGGCGGTGTTATATCGCCGCTATTATCG
+>LAGGING_16::ref:3314831-3314871
+CTGATCGTGGGTGACGTACAGCGAGGTGATATCAAACTGC
+>LAGGING_16::ref:3315166-3315206
+ACTGAAACACCATACAGATATCGCGCTGCTGAATAGAGCG
+>LAGGING_16::ref:3326127-3326167
+GTTGTCGGTCAGCGCCATCATCTGCGCGTTCACCTGATAC
+>LAGGING_16::ref:3339912-3339952
+GGTTGGTGTTACGCACATTATCTTTTCGATAGTGTTTGCT
+>LEADING_0::ref:3343641-3343681
+TATGGTTGTTAATCCGTGCGTTAGCCAGCAGTGTGCCGTC
+>LEADING_0::ref:3343641-3343681
+TATGGTTGTTAATCCGTGCGTTAGCCAGCAGTGTGCCGTC
+>LEADING_0::ref:3343641-3343681
+TATGGTTGTTAATCCGTGCGTTAGCCAGCAGTGTGCCGTC
+>LEADING_0::ref:3345405-3345445
+GGTTGTTATAGACGCCCAAGTTATAGCTCAGATTACTGCT
+>LEADING_0::ref:3345405-3345445
+GGTTGTTATAGACGCCCAAGTTATAGCTCAGATTACTGCT
+>LAGGING_16::ref:3360448-3360488
+AGCAGAAGATGCGCCGCTTAACAACTATGCTAACGAGCGG
+>LAGGING_16::ref:3360448-3360488
+AGCAGAAGATGCGCCGCTTAACAACTATGCTAACGAGCGG
+>LAGGING_16::ref:3360448-3360488
+AGCAGAAGATGCGCCGCTTAACAACTATGCTAACGAGCGG
+>LEADING_0::ref:3362609-3362649
+CCTGCTCGTGCGACATGTAGTTAAACAGAATCGCCGGATG
+>LAGGING_16::ref:3366714-3366754
+TATCGGTGTGGTGCAGCTTAACTATGGCTTGAGCGTACTG
+>LAGGING_16::ref:3366714-3366754
+TATCGGTGTGGTGCAGCTTAACTATGGCTTGAGCGTACTG
+>LAGGING_16::ref:3366714-3366754
+TATCGGTGTGGTGCAGCTTAACTATGGCTTGAGCGTACTG
+>LAGGING_16::ref:3367941-3367981
+GACCTACTACCGGCTGGAAACCTTCCTGTTAGAAGGCAGC
+>LAGGING_16::ref:3387207-3387247
+TCGCTGGTGCTGTACGCCGAACACGAGTTTAACGCCTCCA
+>LAGGING_16::ref:3390765-3390805
+ATCCGTGACGCTGACGGTTATCACTTTATTCTCGGGCGCA
+>LAGGING_16::ref:3390765-3390805
+ATCCGTGACGCTGACGGTTATCACTTTATTCTCGGGCGCA
+>LAGGING_16::ref:3390765-3390805
+ATCCGTGACGCTGACGGTTATCACTTTATTCTCGGGCGCA
+>LAGGING_16::ref:3392677-3392717
+ACCGGGAATTGTTCCGGTCAACGCGGTATTAGGTGGCGCG
+>LEADING_0::ref:3392930-3392970
+GGATGCCGAACAAGGTTTAGTTATACCGCCGTTTGTGGAG
+>LEADING_0::ref:3401775-3401815
+TGTTCTGCTTCATCAGCAGGATATCCTGCACCATCGTCTG
+>LEADING_0::ref:3402462-3402502
+ACCACAGATGAAACGCCGAGTTAACGCCATCAAAAATAAT
+>LAGGING_16::ref:3403005-3403045
+GGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGC
+>LAGGING_16::ref:3403005-3403045
+GGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGC
+>LAGGING_16::ref:3403743-3403783
+ATCCAGCGGATAGTTAATGATCAGCCCACTGACGCGTTGC
+>LAGGING_16::ref:3408364-3408404
+CCTGAAGCTGATGATGGATATCTTCGTTTTTGATACCAGC
+>LAGGING_16::ref:3408364-3408404
+CCTGAAGCTGATGATGGATATCTTCGTTTTTGATACCAGC
+>LEADING_0::ref:3414407-3414447
+GCATCTTTATTTTCAGCAAGATATGCAGCAAAGGCTTGCT
+>LAGGING_16::ref:3414977-3415017
+ATGAGTTCCATCAGTCATTATCTCAGGGTTAATCCCCCGG
+>LAGGING_16::ref:3426987-3427027
+GTTACAGCACTTGATTGGGATCATATGGATAAGGCAGGCA
+>LAGGING_16::ref:3428258-3428298
+TACCGATCATCTGACTATTAACTCCTACAGTACTGTTGCG
+>LAGGING_16::ref:3430297-3430337
+AACGGCACCATCAACTATGATCAGGATGTTAACGGCATCA
+>LAGGING_16::ref:3430297-3430337
+AACGGCACCATCAACTATGATCAGGATGTTAACGGCATCA
+>LAGGING_16::ref:3430297-3430337
+AACGGCACCATCAACTATGATCAGGATGTTAACGGCATCA
+>LAGGING_16::ref:3439889-3439929
+GGGATGGTGCTATGAAAATAACATTACTGGTTACCTTGCT
+>LEADING_0::ref:3445251-3445291
+GATAAAAGATAAATCAGATGATGAATGGTGGCGTGCATTG
+>LEADING_0::ref:3446230-3446270
+TCAAACCGTTAACCGTGTCGATCCACATCATTGTCTGGCT
+>LEADING_0::ref:3446450-3446490
+TTGACCATTGGCAACGTGCGTTAACGCATCGCTGTGCGAT
+>LAGGING_16::ref:3455609-3455649
+CGCCTGACCGAGCGTTTTTATCGCGTTGATAAAGCGCGTT
+>LAGGING_16::ref:3456659-3456699
+CCTTGCGCCGCTGAAAATTATCGCGCTGGTCATCCTGTCT
+>LAGGING_16::ref:3457518-3457558
+AGCGCTCACTAAATCACTGAACATTTGTTTTAACCACGGG
+>LAGGING_16::ref:3474132-3474172
+ACCGCCACGCCCTCCTGATAACACAGTGGTAGCATCTCGC
+>LAGGING_16::ref:3481234-3481274
+GCAGGACTGTCGGTTATTTAACTTTGCGGGTATTATGCTT
+>LEADING_0::ref:3482613-3482653
+GCAGACACATAATGCCAAAGTTGAGTTTCAGCAGCCGCGG
+>LEADING_0::ref:3482613-3482653
+GCAGACACATAATGCCAAAGTTGAGTTTCAGCAGCCGCGG
+>LEADING_0::ref:3486006-3486046
+GCGCAATCAGGAACAGGCTGTTATGCAGAACGAAGTCCGC
+>LEADING_0::ref:3492075-3492115
+GTTTGAAGTTTATCCGGAAGTTGAACTGCAGGGTCTGGAA
+>LAGGING_16::ref:3493196-3493236
+ATGGTGATGCCGTACCCATAACACAGGGACTAGCTGATAA
+>LAGGING_16::ref:3493196-3493236
+ATGGTGATGCCGTACCCATAACACAGGGACTAGCTGATAA
+>LEADING_0::ref:3494964-3495004
+GTCTGCCGGTTGTCGCAACGTTGAATGAACTGAGCGAAGA
+>LEADING_0::ref:3497922-3497962
+CCTTTTTTTGTCTCGCTAAGTTAGATGGCGGATCGGGCTT
+>LEADING_0::ref:3500513-3500553
+CCGTTAAGGTGATTCCACTGTTAACAAACAAGGAGAAAAC
+>LAGGING_16::ref:3500899-3500939
+AACGTAATCTGGCGGTATTAACCCTGTAATTAATTTGCAT
+>LAGGING_16::ref:3505727-3505767
+TTGCTGTTTGGTGCGTCTTATCAACTGGCTGTTGAACTGC
+>LAGGING_16::ref:3508233-3508273
+CAGCAATATGGCAATGATGATCGCCCGTTACAGAGTGGCA
+>LEADING_0::ref:3513957-3513997
+CCCGTACCAAAATCATCAAGATAAATTTCATGGCCCGCCT
+>LEADING_0::ref:3513957-3513997
+CCCGTACCAAAATCATCAAGATAAATTTCATGGCCCGCCT
+>LEADING_0::ref:3516222-3516262
+CGCCTGGTGCCAACATACAGTTATCACCGATGCGAATAGG
+>LEADING_0::ref:3516362-3516402
+TCTGTCACCTGACCGAATAGATCAGCGAGAATTTGCTGGC
+>LEADING_0::ref:3521025-3521065
+CTTAACGGCTCCTGTTTAAGTTAAGACTTGGACTGTTCAG
+>LAGGING_16::ref:3522544-3522584
+GTCGGATTTGTTCAGTGAGATCTGGGAACTGTCAGAATCC
+>LAGGING_16::ref:3524450-3524490
+CCAGCTGATGATGGCCATTAACCTGCAAATCAACCAGCAG
+>LAGGING_16::ref:3525803-3525843
+TGCCATTACTACCATCCTTAACTACATCATTATTGCTGTT
+>LAGGING_16::ref:3527221-3527261
+GCGGCAGCTGTTGCTGCTCAACTGCATGACGAAGCGCAGC
+>LAGGING_16::ref:3534625-3534665
+TCACTTTTCCGCTACAATTATCAACAAGTTGAATCGATAA
+>LEADING_0::ref:3534633-3534673
+CCGCTACAATTATCAACAAGTTGAATCGATAAGAGGCGGT
+>LEADING_0::ref:3540724-3540764
+TGATTTGCGCCAACACCACGATCGCCAGCAGTGCCGCAAG
+>LEADING_0::ref:3548230-3548270
+CCCGCATCTATAAAAAGGAGTTAACAAAAGATGTTAGATG
+>LEADING_0::ref:3548230-3548270
+CCCGCATCTATAAAAAGGAGTTAACAAAAGATGTTAGATG
+>LEADING_0::ref:3548230-3548270
+CCCGCATCTATAAAAAGGAGTTAACAAAAGATGTTAGATG
+>LAGGING_16::ref:3569560-3569600
+AACCGACTTGCATAAGATAAACTAATTGTTCATTGTTTAT
+>LEADING_0::ref:3576986-3577026
+CCACAAAGTCAGCCCGTATGTTGGCCGTACCATTGGCGCG
+>LEADING_0::ref:3598328-3598368
+CGACCGCGATCAACATGACGTTAACTGGCAGCTGTCTGGC
+>LEADING_0::ref:3628549-3628589
+GGTTAACCATCAAACCAAAGTTTAGCCACAGCAGGGTCAT
+>LEADING_0::ref:3629230-3629270
+CTTTACGCTCGACCAGATAGTTGAACAGACGCAATTCCAT
+>LAGGING_16::ref:3629633-3629673
+GTAGCGGCGATAAACACTCAACTTGCGTTTAATGCGGCGT
+>LAGGING_16::ref:3630778-3630818
+CAACAGTACGATAAAGACGATCAGGATGCTGATTACCGAT
+>LAGGING_16::ref:3631248-3631288
+TATCCTGCTCGGCAAAATGAACTTTTACTGAGTGGATCAT
+>LAGGING_16::ref:3636667-3636707
+AGTGGGGCCGGCGCTATTTATCAGTCTGCTGATTATCACG
+>LAGGING_16::ref:3639699-3639739
+GGTAGCAACGCTGCTGTTGAACTGGATTATGATCTGTCTG
+>LEADING_0::ref:3642817-3642857
+ATAACATTGTTAAATGTAAGTTAAAACACCATTGTCAGGG
+>LEADING_0::ref:3642817-3642857
+ATAACATTGTTAAATGTAAGTTAAAACACCATTGTCAGGG
+>LAGGING_16::ref:3643850-3643890
+CTTTACCTCTCCGGCCGTGATCTTATTTTTAACCGCGTCA
+>LAGGING_16::ref:3644620-3644660
+GAGTAATCCCATAAGCGCTAACTTAAGGGTTGTGGTATTA
+>LEADING_0::ref:3647118-3647158
+CCGCTGGCTGACCTTTATAGTTGTACTTCTTCGGCTGCTG
+>LEADING_0::ref:3659724-3659764
+TCGGCGCGGCTATTGGTGCGTTAACCAGCGGGAAGCTGGC
+>LEADING_0::ref:3661135-3661175
+AGCTTCCTGTTATTAATAAGGTTAAGGGCGTAATGACAAA
+>LAGGING_16::ref:3663135-3663175
+TCGCGTGGTGCAACTGCTCAACGACAGCGGTGAGCATAAC
+>LEADING_0::ref:3680660-3680700
+GCGAGGGTTTAACTCACATGATGATACTGACTGTTGCTCA
+>LEADING_0::ref:3680660-3680700
+GCGAGGGTTTAACTCACATGATGATACTGACTGTTGCTCA
+>LEADING_0::ref:3681498-3681538
+GAGAGGGCCAGGACATAGCGATCAAAATCGCCATACTGTT
+>LAGGING_16::ref:3685039-3685079
+GGTCAGCACGTTAACGTTGAACTGGGTGTCAATTTCCAGC
+>LAGGING_16::ref:3694782-3694822
+CGCGATGATCATGATGCAGATCTATCGGTTAAATCAGCAC
+>LAGGING_16::ref:3694782-3694822
+CGCGATGATCATGATGCAGATCTATCGGTTAAATCAGCAC
+>LAGGING_16::ref:3694782-3694822
+CGCGATGATCATGATGCAGATCTATCGGTTAAATCAGCAC
+>LAGGING_16::ref:3695209-3695249
+TGCCGCTCGTGCGCTGGATACCACCTGTTATATGGTGGCG
+>LEADING_0::ref:3695216-3695256
+CGTGCGCTGGATACCACCTGTTATATGGTGGCGGCGGGGG
+>LEADING_0::ref:3706363-3706403
+AGTTCACTGCATAAAACCAGATCAAAGGAAACACCATGTA
+>LEADING_0::ref:3734527-3734567
+CGCACATTTTATCCTGTGGGTTAATACGCATCGCCACATC
+>LAGGING_16::ref:3745562-3745602
+CTGGAAATGGATGAGTTTTATCAGAACGATAAAACCACCA
+>LEADING_0::ref:3745736-3745776
+GGTAGCCCGTTAACCACCAGCTACCAGTTCTACGGTACCC
+>LAGGING_16::ref:3749256-3749296
+AAAGACCGTGGTTACGCATATCAACCTGGATGATATTGTG
+>LAGGING_16::ref:3752210-3752250
+GACAAATTGCCGTGGTGATAACTTACCTGATAATACCCGC
+>LEADING_0::ref:3756437-3756477
+CACCCGGTGTTAGCAGGGCGTTTAAAACCACTTTGTTAGA
+>LEADING_0::ref:3761544-3761584
+CAGTAATCAATAACAGAAAGATAAATGTTGATAATGCCGG
+>LEADING_0::ref:3761544-3761584
+CAGTAATCAATAACAGAAAGATAAATGTTGATAATGCCGG
+>LEADING_0::ref:3761544-3761584
+CAGTAATCAATAACAGAAAGATAAATGTTGATAATGCCGG
+>LEADING_0::ref:3761678-3761718
+CCAGACCGTAAATCCATAAGTTACGGCGCAACATGGCAGA
+>LEADING_0::ref:3761678-3761718
+CCAGACCGTAAATCCATAAGTTACGGCGCAACATGGCAGA
+>LEADING_0::ref:3761765-3761805
+AAAAGACGATAATCAAGGCGTTGAAAATCACCGCACTGAG
+>LEADING_0::ref:3761765-3761805
+AAAAGACGATAATCAAGGCGTTGAAAATCACCGCACTGAG
+>LEADING_0::ref:3761765-3761805
+AAAAGACGATAATCAAGGCGTTGAAAATCACCGCACTGAG
+>LEADING_0::ref:3763667-3763707
+ACTCAATATCATCAGGAGAGATATTCCGCCACCGGACCAA
+>LAGGING_16::ref:3776413-3776453
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+>LAGGING_16::ref:3776413-3776453
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+>LAGGING_16::ref:3776413-3776453
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+>LAGGING_16::ref:3776413-3776453
+CGTTACCCACCTGTTTTATAACTATCAGTATGAAGTGAAT
+>LAGGING_16::ref:3778563-3778603
+CACGCAGTACTTTTTTGTTAACGCCGCGGGTATGAGTGAA
+>LEADING_0::ref:3785801-3785841
+CAATGGTCAGATAATACGCGGTAGGATTTTTCAGTGTCAG
+>LAGGING_16::ref:3785847-3785887
+GCCCTGCTGGCTGACCTGTAACTGCAGTTCGACCTTTTCT
+>LAGGING_16::ref:3794319-3794359
+GTTTTCAATTTATCGCTATAACCCGGATGTTGATGATGCT
+>LEADING_0::ref:3800235-3800275
+GGTCATCACCAAACAGGGCGATCTGATTTGCCTCGACGGC
+>LEADING_0::ref:3800516-3800556
+AAGAACGTGTAACCGAAGCGTTCAAAATCATCCTCTCTGA
+>LAGGING_16::ref:3819166-3819206
+ACTTCAAGCATTGCCGTCGAACTTATTGATCATCTTGATA
+>LAGGING_16::ref:3826868-3826908
+TTTTCAACGCCAGCGCCAGATCGCTGCGCTGGGCGTCGGT
+>LAGGING_16::ref:3827606-3827646
+TGTAGCGGCGATGTGGATGATCAACGGGATTAAATTGCGT
+>LEADING_0::ref:3830319-3830359
+TCACCCGCGTTTAACGTTAGCTGAGGCAATTGCAGCGTTT
+>LAGGING_16::ref:3833092-3833132
+TTCTATTGCGCTGGCGATGATCTCCCTGTTGATTTCAGAA
+>LEADING_0::ref:3834464-3834504
+CCGCGTGCAATATCAACCTGATCGTGCCAGGACCATTCAC
+>LEADING_0::ref:3842700-3842740
+GATTGCGCTGTATTTCGTCGTTATCATCTACGCTGCCGGT
+>LAGGING_16::ref:3847296-3847336
+TTCGCGGGCACTGCTGTTTATCTCTGGTTTCGCCGCTAAT
+>LAGGING_16::ref:3856955-3856995
+TGTGCTGGCATCGCTGGTCAACTTCTGGTTGAAAAGCGAA
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859524-3859564
+CGCCGCCTTTAACCAGATAGTTATACAGCAAGCGCGCACC
+>LEADING_0::ref:3859538-3859578
+AGATAGTTATACAGCAAGCGCGCACCGACTCTGACAATCG
+>LEADING_0::ref:3871773-3871813
+GGAAGTCCCTGAAGGTATAGTTAAAAAGAAAGAAAAAACG
+>LEADING_0::ref:3872944-3872984
+ACACATAACATAAACAGGAGTTAACCATGGAAAGTGGTCA
+>LAGGING_16::ref:3874692-3874732
+TTTATTTGTTGTACTTATGAACTTGTTTTATACCGCGTGG
+>LAGGING_16::ref:3875013-3875053
+ATCTTCAATTGTACTGTTGATCTGTTCGTTGACGGCGTCA
+>LAGGING_16::ref:3884143-3884183
+TGTTCGGGAACTGACGCAGATCTTTAGTTTTGATGTTTGC
+>LEADING_0::ref:3897931-3897971
+TCCTGCGGTTCAATACCGAGTTTAATAAATTCCGGGATCA
+>LEADING_0::ref:3897931-3897971
+TCCTGCGGTTCAATACCGAGTTTAATAAATTCCGGGATCA
+>LEADING_0::ref:3902299-3902339
+CGTCGCGGATAATCCCTAAGTTAATTACCTCGCATCCCAA
+>LEADING_0::ref:3902299-3902339
+CGTCGCGGATAATCCCTAAGTTAATTACCTCGCATCCCAA
+>LAGGING_16::ref:3903900-3903940
+CGCGCTGGCGGCATATGACATCGCCGCGTTAATGGATTAC
+>LEADING_0::ref:3906816-3906856
+AGTCCGTCAATTATGCAGCGTTATATCAGTATGAACGTGA
+>LAGGING_16::ref:3912811-3912851
+AAAACTCTACAGTATGTATAACTCGGCGTTCCTGGACGAC
+>LEADING_0::ref:3913789-3913829
+TTGATGCGCGCCAGTTGGCGATCTACAGAACCCGGACGCT
+>LAGGING_16::ref:3924326-3924366
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+>LAGGING_16::ref:3924326-3924366
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+>LAGGING_16::ref:3924326-3924366
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+>LAGGING_16::ref:3924326-3924366
+ACAGGTTGCAACGCCGGATAACATGGAGCTGATGTACCAG
+>LEADING_0::ref:3924295-3924335
+GCCAGGCTATCACCGATATGATCTACAGCTCACAGGTTGC
+>LEADING_0::ref:3924295-3924335
+GCCAGGCTATCACCGATATGATCTACAGCTCACAGGTTGC
+>LEADING_0::ref:3924857-3924897
+TGCGAGCTGTATCACTGATGATCTCCATTGCCGGCGCGCA
+>LEADING_0::ref:3932110-3932150
+CCCGAAACTATTACTGCTCGATGAGCCGATGGGCGCGCTG
+>LAGGING_16::ref:3932845-3932885
+GGTCATTGCGTTGCCATATATCTGGTTGATCTTGCTGTTT
+>LAGGING_16::ref:3932845-3932885
+GGTCATTGCGTTGCCATATATCTGGTTGATCTTGCTGTTT
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LAGGING_16::ref:3933777-3933817
+GCCAATGCTGATGCTGGTTATCTATTCGTTTAACAGCTCG
+>LEADING_0::ref:3942544-3942584
+AACGCTCCATGCTGCGGGCGATCATATCCAGCATCGGGTA
+>LEADING_0::ref:3947463-3947503
+ACCGCCAGTTCTCCGCTAAGTTGTGCTTCAGCGCCAGCGG
+>LEADING_0::ref:3948265-3948305
+CCACCAGCGTTACCGGATAGTTACGCCACTCATCGGCGAA
+>LEADING_0::ref:3948480-3948520
+AGCCAGAGATAATCACCGCGTTTTACATCGCGCGTCAGCC
+>LAGGING_16::ref:3951381-3951421
+TAGCTGATTAATAACTTTTAACGCAGCTTGTTGGCGAAGC
+>LAGGING_16::ref:3981044-3981084
+GATGATGGTGCGTGTGTATAACAGCATTGATACCGTTCCG
+>LAGGING_16::ref:3981835-3981875
+TACCACACCGGCAATAATTAACTGTTTTTTACCTGTCGCT
+>LAGGING_16::ref:3997143-3997183
+TATTAATGGCACGCCGGTCAACTATAAGGTTTATATGACC
+>LAGGING_16::ref:3997143-3997183
+TATTAATGGCACGCCGGTCAACTATAAGGTTTATATGACC
+>LEADING_0::ref:3997151-3997191
+GCACGCCGGTCAACTATAAGGTTTATATGACCAGCGACGT
+>LEADING_0::ref:4010837-4010877
+TTACTTGAATTAGAAACGCGTTATTGCCGTCAGGAACCGT
+>LEADING_0::ref:4030345-4030385
+CTTTAAGGCCTAACCCAACGTTATCAATCACCGATTTCCA
+>LEADING_0::ref:4030345-4030385
+CTTTAAGGCCTAACCCAACGTTATCAATCACCGATTTCCA
+>LEADING_0::ref:4030345-4030385
+CTTTAAGGCCTAACCCAACGTTATCAATCACCGATTTCCA
+>LAGGING_16::ref:4048948-4048988
+TTCCCGCGTTTTGTCTGATAACCATTCTGTTACTGGTGAA
+>LEADING_0::ref:4064169-4064209
+CGTTCTTCACTATTGGAAAGATGAATCGTCTTCTCAACGC
+>LEADING_0::ref:4065007-4065047
+GGGATTTGTTCAGGGATTAGTTACGCAGACGCGGGGCCTG
+>LEADING_0::ref:4065007-4065047
+GGGATTTGTTCAGGGATTAGTTACGCAGACGCGGGGCCTG
+>LEADING_0::ref:4071626-4071666
+GCGACGACGGTAGCGAGCTGATCTCCGTGCAGGTGCGTTA
+>LEADING_0::ref:4078663-4078703
+AGTAACTATAACCGTAATAGTTATAGCCGTAACTGTAAGC
+>LEADING_0::ref:4078663-4078703
+AGTAACTATAACCGTAATAGTTATAGCCGTAACTGTAAGC
+>LAGGING_16::ref:4079120-4079160
+TAAGTCGGCATCAATAAATAACACTTTTTGATCGGACTGG
+>LAGGING_16::ref:4080472-4080512
+TCGGAAAATACTTCTGCTCAACTATGTCGCGCAGATTCAG
+>LEADING_0::ref:4097386-4097426
+GGAAACGGTTATCGCCATAGATAACCAGTGGACCTCAACC
+>LAGGING_16::ref:4106940-4106980
+CATCGCGAAAAGTTTGTTGATCGACAATGTTCATAGTTTG
+>LEADING_0::ref:4111530-4111570
+GCTACCTGTTTAACCTATAGTCATTAAGCTGGCGTTACCG
+>LEADING_0::ref:4118924-4118964
+TTTTATGGCTAACGCCGCTGATGTGCCGCAGGTCAAAGTG
+>LEADING_0::ref:4144597-4144637
+ACGGGTGGTGAACCAGATAGATAAACAGCGATGCGTTAAC
+>LAGGING_16::ref:4148897-4148937
+TTATGAAGAATTGCCGCCTAACTTGCTTGATGAGCTAAAA
+>LAGGING_16::ref:4170371-4170411
+GATCCTCAACACGCTGGTTAACTTACGCTAATCGCTGACG
+>LAGGING_16::ref:4170371-4170411
+GATCCTCAACACGCTGGTTAACTTACGCTAATCGCTGACG
+>LAGGING_16::ref:4170371-4170411
+GATCCTCAACACGCTGGTTAACTTACGCTAATCGCTGACG
+>LAGGING_16::ref:4176241-4176281
+AGTAAGTGACGCCATCGTCAACATGGATGTATTAATCACC
+>LAGGING_16::ref:4181219-4181259
+CTGCAACCCGCAGCCCGCTAACTGCCTGAAAGATCAATAC
+>LEADING_0::ref:4196082-4196122
+CGTTCCCCTGTAACGAGAAGTTTTTCGTCACCTGGTAGCG
+>LAGGING_16::ref:4197015-4197055
+CGAACAAATCCAGCGCATCAACTTTACGTTTGCCACTGTT
+>LEADING_0::ref:4197765-4197805
+GGATACCATCAACCATATAGTTATCGATCTGGAATCCGCG
+>LEADING_0::ref:4197765-4197805
+GGATACCATCAACCATATAGTTATCGATCTGGAATCCGCG
+>LAGGING_16::ref:4200626-4200666
+CGCTGGCGACAAACCGGCGATCAACAATTTATCAGGCTGG
+>LEADING_0::ref:4208516-4208556
+TGGCGCTGCGGAAACGGGAGATCATTTCGATACGTACCGG
+>LAGGING_16::ref:4223573-4223613
+CTGTTCACTGGCGGTTACAACTATCATGGTAAGCATGAGT
+>LAGGING_16::ref:4240153-4240193
+TGACGTCGAGGATGTGGACAACGCCGATATTAACCAGCGT
+>LAGGING_16::ref:4265195-4265235
+CCATAAAATCGTTCCGCTGATCGCTTATATGAGCAAGTTT
+>LEADING_0::ref:4269368-4269408
+AAGCATGGTGTGCTCGTAAGTTAACTGCACACCGCGGAAC
+>LEADING_0::ref:4271480-4271520
+TTTGTCTGCTATCAGCGTAGTTAGCCCTCTGGTATGATGA
+>LEADING_0::ref:4278363-4278403
+TCATGCCGGTTAAACCAGAGGTGATAAGCACGCCCAGCGT
+>LEADING_0::ref:4278363-4278403
+TCATGCCGGTTAAACCAGAGGTGATAAGCACGCCCAGCGT
+>LAGGING_16::ref:4278599-4278639
+CCAAGACGGGAAGAAAATGAACTAAGTAATATACTGCTGG
+>LAGGING_16::ref:4280712-4280752
+ATCATACAGGCGGAAACGTAACGTACTGTTATCCGCCAGT
+>LAGGING_16::ref:4285355-4285395
+CATGCATGGCGTCAAAGATAACTTTGTCGATATCCGCCCC
+>LAGGING_16::ref:4289724-4289764
+CTCCGTTGACTTGCTTCTGATCAAAGAGGTTACCCTGCGT
+>LEADING_0::ref:4310675-4310715
+CGACGCGCTTAGTCAACAGGTTAATCAGCACGTAGAGTCC
+>LEADING_0::ref:4324704-4324744
+GCGTGCCACAAATTCCGGCGTTAATACCCGCATATACTTC
+>LEADING_0::ref:4355360-4355400
+GAGCTTCACGCAGCGTATCGATATACAGCTGTTCTTCATT
+>LAGGING_16::ref:4361399-4361439
+TAGCAGGGCTGTTTGTATCATCTCTAAGTTATGCAGAAAA
+>LAGGING_16::ref:4361399-4361439
+TAGCAGGGCTGTTTGTATCATCTCTAAGTTATGCAGAAAA
+>LEADING_0::ref:4361407-4361447
+CTGTTTGTATCATCTCTAAGTTATGCAGAAAACACGGAGA
+>LEADING_0::ref:4361407-4361447
+CTGTTTGTATCATCTCTAAGTTATGCAGAAAACACGGAGA
+>LEADING_0::ref:4361407-4361447
+CTGTTTGTATCATCTCTAAGTTATGCAGAAAACACGGAGA
+>LEADING_0::ref:4385787-4385827
+AATGACGGTCAGCCCATTGGTTAATTTCATTTTCGCCCTT
+>LAGGING_16::ref:4391747-4391787
+CGATGGCGTTGATCAAGTTATCCTGCCACTTATGGCGCGT
+>LAGGING_16::ref:4409571-4409611
+TACCGCCACCTGGAAAGACAACGACGTTATTAAGGCGCTG
+>LAGGING_16::ref:4410573-4410613
+GTCGATATTCTCGGTGTATATCTCTACAAAACCGCCTTTG
+>LEADING_0::ref:4412745-4412785
+GATTGACGGCAAACTGCTGGTTAACAACATCGAAGAAGTC
+>LEADING_0::ref:4416366-4416406
+TGTGGCCTGCTGACCCAAAGTTATCAGTTCTGGCGCGAGG
+>LEADING_0::ref:4416366-4416406
+TGTGGCCTGCTGACCCAAAGTTATCAGTTCTGGCGCGAGG
+>LEADING_0::ref:4421709-4421749
+TTTCGCCGGTTATCGATAAGCTATTGTTTGCTGCCACTAA
+>LEADING_0::ref:4425109-4425149
+TGGAGAGGGTGATAACGTTGTTCAGACCTTCTGCGCCGCA
+>LEADING_0::ref:4437735-4437775
+AGCTGGCCATAAAATACCAGTTATCAATTACACTGACGTG
+>LEADING_0::ref:4438272-4438312
+TGAGTACGATAATCAAATAGATAAAGAGCAGAAAAGGATG
+>LEADING_0::ref:4438272-4438312
+TGAGTACGATAATCAAATAGATAAAGAGCAGAAAAGGATG
+>LAGGING_16::ref:4468988-4469028
+CGTCAAAAACATCGCATTTAACTATATTGTGAGGCTTGCA
+>LAGGING_16::ref:4503892-4503932
+GATTTCTCGACCGGGGTAGATCTTAATGGCAACAATAACA
+>LEADING_0::ref:4504315-4504355
+TCCTTGCGCACAGGATATAGTTATACCAGCGTTATTGTCG
+>LEADING_0::ref:4505805-4505845
+GACTATCACTTATTTAAGTGATATTGGTTGTCTGGAGATT
+>LAGGING_16::ref:4534024-4534064
+CGCGCCGTTGATGATACATATCAATACGGTTTGTCGGCCC
+>LAGGING_16::ref:4536313-4536353
+AACCAAGACATGATGTTTTAACACACAATTACCTTCCACA
+>LEADING_0::ref:4545204-4545244
+ATGAAGTATTAACGCTAAAGTTTGATTGCCGCCCATGCGA
+>LAGGING_16::ref:4577509-4577549
+GACACAACCGCAGAAGATCAGCATATTGATCATCCCGCGG
+>LAGGING_16::ref:4587511-4587551
+GTTTAATATTCCGCGCCTCAACAAAGAGGATAACCGGGTA
+>LEADING_0::ref:4591987-4592027
+GGCATCATCTCATCAAGATGATTGTTTACCAGACGGTAGA
+>LAGGING_16::ref:4597595-4597635
+ATTGAACACAAAGCCTTTCACCTCTTTGTTCATCGCCAGT
+>LAGGING_16::ref:4606029-4606069
+ACCGGTATTGGTGAGGATGATCAACGCGATAGACGTAATC
+>LAGGING_16::ref:4606450-4606490
+GATGCTTCTACGCCCATATAACTCAAAATGAAGGCAACAA
+>LAGGING_0::ref:4629805-4629845
+TGACGCTGTTATCAAACCAGTTATACAGCGCCCAGCTGTC
+>LAGGING_0::ref:4629805-4629845
+TGACGCTGTTATCAAACCAGTTATACAGCGCCCAGCTGTC
+>LAGGING_0::ref:4629805-4629845
+TGACGCTGTTATCAAACCAGTTATACAGCGCCCAGCTGTC
+>LEADING_16::ref:4639068-4639108
+TATGCTGAATGGTAAAGAGATCAATAAATTATCCACTGGA
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_bowtie2_mini.cov b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_bowtie2_mini.cov
new file mode 100644
index 0000000000000000000000000000000000000000..6004a246630ab09e8e0881cdcc6cf887cd05ad80
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_bowtie2_mini.cov
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diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/files/test.fastq2_Nremove_trim_ini.length b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_ini.length
similarity index 100%
rename from example_of_result/20211201_res_CL14985_test_1641660055/files/test.fastq2_Nremove_trim_ini.length
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diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_q20_mini.cov b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_q20_mini.cov
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diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_q20_nodup_mini.cov b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/files/test.fastq2_q20_nodup_mini.cov
new file mode 100644
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diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/report.html b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/report.html
similarity index 53%
rename from example_of_result/20211201_res_CL14985_test_1641660055/report.html
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/report.html
index bec2779c9f69611b0b296ed7ba4d73f1d93b9eb2..97d1f0db888de6d5a83e088fdb29125dacf52672 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/report.html
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/report.html
@@ -1739,28 +1739,28 @@ div.tocify {
<p><br /><br /></p>
<div id="removal-for-reads-made-of-n-only" class="section level3">
<h3>Removal for reads made of N only</h3>
-<p>Number of sequences before removing reads with only N: 10000</p>
-<p>Number of sequences after removing reads with only N: 8932</p>
+<p>Number of sequences before removing reads with only N: 10,000</p>
+<p>Number of sequences after removing reads with only N: 8,932</p>
<p>Ratio: 0.89</p>
<p><br /><br /></p>
</div>
<div id="trim-of-the-read-for-the-primer-parts" class="section level3">
<h3>Trim of the read for the primer parts</h3>
<p>AlienTrimmer main options: -k 10 -l 30 -m 5 -q 20 -p 0 (Phred+33) / 26 alien sequence(s) / 810 k-mers (k=10) <br />[00:00] 8,932 reads processed: 4,767 trimmed 223 removed <br /><br />AlienTrimmer also removes reads according to quality criteria</p>
-<p>Number of sequence before trimming: 8932</p>
-<p>Number of sequences after trimming: 8709</p>
+<p>Number of sequence before trimming: 8,932</p>
+<p>Number of sequences after trimming: 8,709</p>
<p>Ratio: 0.98</p>
<p><br /><br /></p>
</div>
<div id="read-qc-n1" class="section level3">
<h3>Read QC n°1</h3>
<p>Results are published in the <a href="./fastQC1">fastQC1</a> folder</p>
-<p>Analysis complete for test.fastq2_Nremove_trim.fq <br /><br /></p>
+<p>Analysis complete for test.fastq2_trim.fq <br /><br /></p>
</div>
<div id="selection-of-reads-with-the-attc-in-5" class="section level3">
<h3>Selection of reads with the attC in 5’</h3>
-<p>Number of sequences before 5’ filtering using ^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$: 8709</p>
-<p>Number of sequences after 5’ filtering: 4391</p>
+<p>Number of sequences before 5’ filtering using ^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$: 8,709</p>
+<p>Number of sequences after 5’ filtering: 4,391</p>
<p>Ratio: 0.50</p>
<p>Length of the expected attC sequence at the 5’ part of reads: 48</p>
<p>Number of bases added after the expected attC sequence at the 5’ part of reads, for graphical purpose: 3</p>
@@ -2726,68 +2726,215 @@ N
</div>
<div id="base-frequencies-at-the-5-extremity-of-reads" class="section level3">
<h3>Base frequencies at the 5’ extremity of reads</h3>
-<center>
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title="fig:" width="600" alt="Figure 1: Frequency of each base at the 5’ of the reads." />
+</center>
+<div class="figure">
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width="600" alt />
+<p class="caption">Figure 1: Frequency of each base at the 5’ of the reads.</p>
+</div>
</center>
<p><br /><br /></p>
</div>
<div id="length-of-initial-reads" class="section level3">
<h3>Length of initial reads</h3>
-<center>
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title="fig:" width="600" alt="Figure 1: Frequency of reads according to read size (in bp)." />
+</center>
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width="600" alt />
+<p class="caption">Figure 2: Frequency of reads according to read size (in bp).</p>
+</div>
</center>
<p><br /><br /></p>
</div>
<div id="length-of-reads-after-selection-of-attc-in-5-prime" class="section level3">
<h3>Length of reads after selection of attC in 5 prime</h3>
-<center>
-<img 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title="fig:" width="600" alt="Figure 2: Frequency of reads according to read size (in bp)." />
+</center>
+<div class="figure">
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width="600" alt />
+<p class="caption">Figure 3: Frequency of reads according to read size (in bp).</p>
+</div>
</center>
<p><br /><br /></p>
</div>
<div id="selection-of-reads-over-25-bases" class="section level3">
<h3>Selection of reads over 25 bases</h3>
-<p>Number of sequences before cutoff at 25 nucleotids: 4391</p>
-<p>Number of sequences after cutoff at 25 nucleotids: 3742</p>
+<p>Number of sequences before cutoff at 25 nucleotids: 4,391</p>
+<p>Number of sequences after cutoff at 25 nucleotids: 3,742</p>
<p>Ratio: 0.85</p>
<p><br /><br /></p>
</div>
<div id="read-length-after-cut-off" class="section level3">
<h3>Read length after cut-off</h3>
-<center>
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UCrV1paarzZpUsXy4/18vIy3rx79269BhijAMBy1dXV77//viHBYsKECfHx8dbes8OwAwANGd+wc3Nzi42NteQoxpiPj4/pNhhzAKBR9cpIXLp0KTQ01PQhtbW1165da6oHAww7AI+bhISERldKLSsr27Vrl219Om4kwRgF4ALsPuzg5jMAmOaIq51G4eYzAOg5YtjB/WcAF4aEUWiNKioqqqqqDJvdu3e38MDu3buvXbvWsHn16lX8hQB4bNW70dauXTvLj719+7bxZr1beBijAMAqn3zySUlJif51eHj4jBkzrO0Bww4ANKSq6unTpw2bPXv2tLyejWkYcwCgKcbLpxJCTp48mZmZafqQM2fOGC8xVq8HPQw7AI+hlJSUlJSUhvvPnz9v27NMx40kGKMAXIPdhx3cfAYA0+w+7DQFN58BQM/uww7uPwO4NiSMQmtUVFRkvBkWFmbhgfUqW1y9etVuMQFAWxMUFJSVlWXYjI+Pt/xY49GDUlpvVhPGKACwXE5OjuGruCAIv/jFL0RRtLYTDDsA0NDt27e1Wq1hMzw83F49Y8wBgKYMGjRo8eLFhtVXN2/ePHToUBO39WtraxctWmS858knn2zYDMMOADSf40YSjFEA0CjcfAaA1gA3nwHAcXD/GcC1IWEUWqN6fyEsLEDdsCX+QgA8zkJDQ43v2Vnu9OnTN27cMGxGRER4eHgYN8AYBQAWun379scff2zYnDlzZkREhA39YNgBgIaKi4uNNzt37tywjVarLS8vd3Nz8/X1pZRa2DPGHABoiru7++TJk7/66iv9pqIof/nLX/7jP/4jOjq6YePKysqPPvrIeLDq1q1bo7UuMOwAQPM5biT5/+3de5zNdf448DNmxjW5X8IikS7uUVkR0kV+20opZbtqC5W2i5alb9nSPR6lohZdthJKpaxVSuiqbEKFKLkPDaNxNzPn98f8fvM9e87MODNz5tLp+fxr3q/zvp35jNfw9jqfjxwF5MrhM1DqHD4Dxcr5M8Q3BaOURTt37gxt1qpVK8qBVatWLV++fM4HHXbs2BHjnQG/ATNnzgxtnnPOOWEd5CggGsFgcNy4cXv37s1utmrVqm/fvoWbStoBIoUd2NWvXz/7i0OHDn3++ecfffTRypUrc57sk5iY2KBBg06dOp1xxhnNmzfPf2Y5B8jHRRddlJKS8u9//zu7mZKSctttt/Xq1atbt24NGzasVavW3r17N2/evHLlytdeey3nL0KBQKBRo0Z33313rv95IO0ARVd8mUSOAmLL4TMQEw6fgeLm/Bnim4JRyqIDBw6ENqtXrx792GrVquX8Yjh48GAstwX8BsyZM+fLL7/MaVavXv3ss88O6yNHAdF4/fXXV65cmf115cqV//KXv0T/8cow0g4Q6eeffw5tVq1aNRAIfP311xMmTNi+fXtY58zMzI0bN27cuHHWrFmdO3e++uqrjznmmLxmlnOA/A0ZMqR69eozZszIysoKBALBYPC999577733AoFAUlJSRkZG5JAOHTrccsst2ZkqkrQDFF3xZRI5Coghh89ArDh8Boqb82eIbwpGKYvCfkNUqFAh+rHly5fPax6A/H366af/+Mc/QiN9+/YNzSrZ5CjgiNatW/fyyy/nNG+44Ya6desWejZpB4gU9ie6YsWKM2bMeOmll4448NNPP/36669HjBjRrl27aGaWc4AwCQkJl19+efv27R966KGwe0JEVosmJiZed911ffr0yWdCaQcouuLLJHIUECsOn4FYcfgMlADnzxDfypX2BiAX+/fvD20mJydHPzb014nfEECUMjIynnvuuQcffDD7HjnZ2rRpc8EFF0R2lqOA/B08ePCxxx7LzMzMbv7+97/v0aNHUSaUdoBIYZ+fXrBgQTSnddn27ds3ZsyY0BvbhJJzgCM6fPjwl19+uXv37iP2zMzM/Oqrr1JTU/PpI+0ARVd8mUSOAorO4TMQQw6fgZLh/BnimzuMUhaFZfbIT1jmI/TXiXtQA9FYs2bN008//cMPP4QGjz322L/97W9JSbn8opSjgPxNnTp106ZN2V/XqFHjxhtvLOKE0g4QKexP9PTp03O+btCgwbnnntuuXbu6desmJyenpaV9880377///vLly3P6ZGZmjh8/fvz48ZG3oJBzgPytXbt23LhxOX/bOaIlS5asXLly0KBBkU9czSbtAEVXfJlEjgKKyOEzEFsOn4GS4fwZ4puCUcqiYDAYk7HBYDAzMzMxMTEWmwLi0O7du1988cX58+eHpZ369evfc889lStXznWUHAXk44svvpg7d25O85ZbbqlatWoR55R2gEi5HoclJCRcccUVF154Yeif9Lp169atW7dHjx6LFy9+/PHHDx06lB1PT09/9tlnR48eHTaJnAPk46effrrrrrv27t2bE0lMTDzvvPNOO+20Jk2aVK1adf/+/SkpKV999dXs2bNzbkG6b9++CRMmZGZmnnfeeZFzSjtA0RVfJpGjgEJz+AzEnMNnoMQ4f4b4pmCUsqhixYqhzcOHD0c/NrRzYmKiXw9ArrKysubOnfvSSy+F/k9nth49etxwww15HdgF5Cggb2lpaU888UROs0+fPh06dCj6tNIOECnXY7XBgwf37t07ryFdu3ZNTEx88MEHcyJLliz54YcfmjVrFtpNzgHy8vPPP48ZMyb031DNmzcfNmxY06ZNcyJVq1atWrVq8+bNzzvvvH/84x8ffvhhzkuTJk2qXr366aefHjattAMUXfFlEjkKKASHz0BxcPgMlCTnzxDfypX2BiAXFSpUCG3mfAQhGqGd8/knN/BbtmbNmttuu+2ZZ54JO7CrWrXqX//611tvvTX/7CFHAXl5/PHHc+6k1bBhw6uvvjom00o7QKSwzBAIBE488cRcb90X6ve//32rVq1CI/Pmzct/ZjkHyDFlypSff/45p9mhQ4dHH300tFo0VNWqVW+77bbQvw5lZWVNmDAh8gYV0g5QdMWXSeQooKAcPgPFxOEzUJKcP0N8UzBKWRT2kYIC/YYI/UhB2DwA+/fvf/bZZ4cPH/7DDz+ExhMSEnr27Pnkk0926dLliJPIUUCu5syZs3Tp0uyvExMTb7vttsh/TheOtANECsswiYmJQ4cOTUhIOOLAa6+9NrTbV199FdZBzgFytX379k8//TSnWbFixaFDh5Yrd4SjxQsvvPD444/Paaanp8+fPz+sj7QDFF3xZRI5Coiew2eg+Dh8BkqY82eIbx5JT1lUqVKl0OYvv/wS/dicT1YF/IYA/tu6deseeuihbdu2hcVPPvnkQYMGNW/ePMp55Cgg0saNG5977rmc5qWXXtqiRYtYTS7tAJHCDuxOOOGEJk2aRDOwefPmjRo12rhxY3Zz27ZtqamptWrVyukg5wC5mjNnTlZWVk5zwIABdevWPeKohISEm2++ediwYTkPMnvnnXf69OkT2kfaAYqu+DKJHAVEyeEzUHwcPgMlz/kzxDcFo5RF9erVC22mpqZGOXDPnj2hjzarU6dOLLcF/Jq99957kyZNCv3UUSAQqFev3tVXXx3NB7vDRoU25SggEAgsWrQo50OQderU6dChw9q1a/Ppn5aWFtpcv3596D+JK1eu3KBBg5ymtANECjtWO/nkk6Mf27Jly5wDu0AgsHPnztADOzkHyFXY3226d+8e5cAmTZocd9xxOcM3b9584MCB0DN9aQcouuLLJHIUEA2Hz0CxcvgMlDznzxDfFIxSFjVs2DC0+fPPP0c5MOx3Sdg8wG/Wm2++OXXq1NBIUlJS//79L7744uTk5ILOJkcB+duxY8cdd9xRoCH33XdfaLNDhw733HNPTlPaASLVr18/tBl64nZENWvWDG2Gfiw7IOcAedi+fXvO17Vr1w7LJPlr2bJl6H9npqSkhN6UQtoBiq74MokcBRyRw2egJDl8BkqG82eIbwpGKYtCP9UUCAQ2b94c5cAtW7aENv2GAAKBwJw5c8IO7Bo3bjx8+PAob5sfSY4CSpi0A0QKywxJSQX4133Yw3pCnzEdObOcAwQCgWAwGHp8X7169QIND+sfVjAq7QBFV3yZRI4C8ufwGfi1k3aAXDl/hvhWrrQ3ALmoUaNG5cqVc5pr1qyJcuD3338f2vQbAlizZs2UKVNCI507dx43blyhD+wCchRQ4qQdIFKjRo1Cm6FPFjui9PT00GZYIZecA0RKSEhITEzMaYYd9B9RZmZmaLN8+fKhTWkHKLriyyRyFJAPh89AHJB2gFw5f4b4pmCUMqpNmzY5X2/ZsmXPnj3RjAr9XZKcnNyyZcvY7wz49cjKyho/fnxGRkZOpHv37nfeeWfYf08WghwFlDBpBwhTo0aN0IO2n376KfqxYR/FjrxToJwDRArNFWGPADuinTt35jVVNmkHKLriyyRyFJArh89A3JB2gEjOnyG+eSQ9ZdQpp5zy2WefZX8dDAaXLFnSs2fP/Ifs2bPn22+/zWm2adMm7E7XwG/NBx98EHoT+7Zt2956660JCQlFn1mOAsIMHDhw4MCB0fefPHny7NmzQ5t169bNp7+0A0Q67bTT5s2bl/31smXLMjMzQ+//l5fMzMyVK1fmNGvUqBGZf+QcIFLdunW3b9+e/fXu3bs3bdoUdquJfHzzzTc5XyckJNSpUyesg7QDFF3xZRI5CsiVw2egxDh8BkqF82eIY+4wShl1yimnhDYXLFhwxCGLFy8O/Shnx44dY78t4FflzTffzPk6OTl5yJAhMTmwC8hRQImTdoBIp512Ws7XaWlpb7/9djSj3nnnnb179+Y027dvH9lHzgEihaWLOXPmRDlw7dq1obUULVu2rFKlSlgfaQcouuLLJHIUkCuHz0DckHaAXDl/hjimYJQyqnbt2q1bt85pLl++fO3atfn0z8jICP39VL58+S5duhTj/oAyb9OmTRs2bMhpdu/evUGDBrGaXI4CSpi0A0Rq27ZttWrVcpqvvvrqrl278h+ye/fuadOmhUbOOOOMy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" title="fig:" width="600" alt="Figure 3: Frequency of reads according to read size (in bp)." />
+</center>
+<div class="figure">
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" width="600" alt />
+<p class="caption">Figure 4: Frequency of reads according to read size (in bp).</p>
+</div>
</center>
<p><br /><br /></p>
</div>
<div id="read-qc-n2" class="section level3">
<h3>Read QC n°2</h3>
<p>Results are published in the <a href="./fastQC2">fastQC2</a> folder</p>
-<p>Analysis complete for test.fastq2_Nremove_trim_5pAtccRm.fq <br /><br /></p>
+<p>Analysis complete for test.fastq2_5pAtccRm.fq</p>
+<p><br /><br /></p>
</div>
<div id="bowtie2-alignment" class="section level3">
<h3>Bowtie2 alignment</h3>
-<p>Time loading reference: 00:00:00 <br />Time loading forward index: 00:00:00 <br />Time loading mirror index: 00:00:00 <br />Multiseed full-index search: 00:00:00 <br />3742 reads; of these: <br /> 3742 (100.00%) were unpaired; of these: <br /> 1240 (33.14%) aligned 0 times <br /> 2308 (61.68%) aligned exactly 1 time <br /> 194 (5.18%) aligned >1 times <br />66.86% overall alignment rate <br />Time searching: 00:00:00 <br />Overall time: 00:00:00 <br /><br /></p>
+<p>Time loading reference: 00:00:00 <br />Time loading forward index: 00:00:00 <br />Time loading mirror index: 00:00:00 <br />Multiseed full-index search: 00:00:00 <br />3742 reads; of these: <br /> 3742 (100.00%) were unpaired; of these: <br /> 1240 (33.14%) aligned 0 times <br /> 2308 (61.68%) aligned exactly 1 time <br /> 194 (5.18%) aligned >1 times <br />66.86% overall alignment rate <br />Time searching: 00:00:00 <br />Overall time: 00:00:00</p>
+<p><br /><br /></p>
</div>
<div id="q20-filtering" class="section level3">
<h3>Q20 filtering</h3>
+<p>Number of sequences before Q20 filtering: 3,742</p>
+<p>Number of sequences after Q20 filtering: 2,182</p>
+<p>Ratio: 0.58</p>
<p><br /><br /></p>
</div>
<div id="control-that-no-more-soft-clipping-in-reads" class="section level3">
<h3>Control that no more soft clipping in reads</h3>
<p>nb of reads with soft clipping (S) in CIGAR: 0</p>
-<p>total nb of reads: 2182 <br /><br /></p>
+<p>total nb of reads: 2,182 <br /><br /></p>
+</div>
+<div id="removal-of-duplicates-using-the-5-and-3-coordinates" class="section level3">
+<h3>Removal of duplicates using the 5' and 3' coordinates</h3>
+<p>Number of sequences before removing duplicates: 2,182</p>
+<p>Number of sequences after removing duplicates: 1,660</p>
+<p>Ratio: 0.76</p>
+<p><br /><br /></p>
+</div>
+<div id="read-coverage" class="section level3">
+<h3>Read coverage</h3>
+<p>Of note: process is parallelized at that stage (three channels).</p>
+<p><br /><br /></p>
+</center>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 5: After Bowtie2 alignment</p>
+</div>
+</center>
+<p><br /><br /></p>
+</center>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 6: After Mapping Quality Q20 (1%) filtering</p>
+</div>
+</center>
+<p><br /><br /></p>
+</center>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 7: After removal of reads with identical 5 and 3 coordinates</p>
+</div>
+</center>
+<p><br /><br /></p>
+</div>
+<div id="insertion-positions" class="section level3">
+<h3>Insertion positions</h3>
+<p>One of the step is to correct insertion site read extremity for the reverse reads. It Consist in the redefinition of POS according to FLAG. See the <a href="./reports/insertion_report.txt">insertion_report.txt</a> file in the reports folders for details</p>
+<p>Number of reads used for insertion computation: 1,660</p>
+<p>Number of insertions: 1,660</p>
+<p>Ratio: 1.00</p>
+<p><br /><br /></p>
+</div>
+<div id="insertion-plots" class="section level3">
+<h3>Insertion plots</h3>
+<p>Number of different positions: 1,660</p>
+<p>See the CL Labbook section 24.7.3 to explain the limitation around 100 bp</p>
+<p><br /><br /></p>
+</center>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 8: Insertion site usage (total insertions).</p>
+</div>
+</center>
+<p><br /><br /></p>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 9: Insertion site usage zoomed for sites with few insertions (total insertions).</p>
+</div>
+</center>
+<p><br /><br /></p>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 10: Insertion site usage (forward strand).</p>
+</div>
+</center>
+<p><br /><br /></p>
+<div class="figure">
+<img 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width="600" alt />
+<p class="caption">Figure 11: Insertion site usage (reverse strand).</p>
+</div>
+</center>
+<p><br /><br /></p>
+<p><br /><br /></p>
+</div>
+<div id="sequences-around-insertion-sites" class="section level3">
+<h3>Sequences around insertion sites</h3>
+<p><br /><br /></p>
+<p>In each sequence of length 40 <br />position 21 corresponds to the first nucleotide of the reference genome part of the read</p>
+<p><br /><br /></p>
+</div>
+<div id="logos" class="section level3">
+<h3>Logos</h3>
+<p><br /><br /></p>
+<p>Of note: process is parallelized at that stage (four channels).</p>
+<p><br /><br /></p>
+<p>In each sequence of length 40 <br />position 21 corresponds to the first nucleotide of the reference genome part of the read</p>
+<p><br /><br /></p>
+</center>
+<div class="figure">
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width="600" alt />
+<p class="caption">Figure 12: test.fastq2_LEADING_16</p>
+</div>
+</center>
+<p><br /><br /></p>
+</center>
+<div class="figure">
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width="600" alt />
+<p class="caption">Figure 13: test.fastq2_LEADING_0</p>
+</div>
+</center>
+<p><br /><br /></p>
+</center>
+<div class="figure">
+<img 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9giyCAv0B7kQztLuigVNnXj0UxGsHWjozhWChcU2tm348wLs8upYGWxefPm6VjL4XB4LOxClV+Pny4GdvoHQoUmBY0oZWAeHVnYJEZFBosfD0OgpDC7Hk7NRwdqPvCOjvVA0BsCAAAAv3j7nCAQRHXr1nU9fUVFRW3dujXYu+MfA3d+2rRpp0+fFrOPPvpoo0aNChYsWK5cuUD30nxBuYjnz5/v2LHjhQsX5B9LlCjxwAMPxMXFXbx4cdeuXenp6eJP69evT0hIWLNmjY53zqnp7Nmzf/zxR87fly9ffvPmTb++S5aRkdGlS5c1a9bIPxYpUiQhIaFLly4NGzYsVaqU65VmaWlpu3bt+vnnnz/99NOkpCSx8JkzZ5o2bbphw4b77rtPteT8denSpSFDhnh8/WTgFD92Lz766KNhw4bJvxQrVqxq1aoRERGHDh26evWq+P3DDz+MiYl55513rNw9L4ISoBQv2i5duvTwww/L8TMsLKxFixZPP/10y5Yty5Qp47oJk5OTt23btmrVqq+++urSpUti4YULF7722mtTpkzxnsq5c+fat2+/f/9++cdSpUp16dKla9eutWrViouLCwsLy8rKunz58u7duxctWvTDDz/IL+v9448/mjRpsmLFirJly/p1dGZk4Vu3brVr1+7atWvil+jo6AEDBvTv3798+fJhYWHyDmzYsOHTTz8VOd3pdI4YMaJJkybNmjXTklZUVFSJEiX07WdkZKSWxULgLJlHkaMIjVvu9OnT7dq1O3TokPxjXFycKw7Url07Li4uPDw8Ozv78uXLu3btWrhw4eLFi+WjXrNmTZMmTX7++We/4oAF7JtPxcYtKAhcLDhXFitQoEBcXJzHPzmdzqtXr+b8T4KbN2/26NHjjz/+qF+/fm6btabcDGKI85mLr127lpqa6prOnz//XXfd5X15jz2gWoRYFSVA69atO3LkiKlJhHDNMzIyslSpUl4WyM7OTklJuXnzptPplH+/ceNGly5dNm7cWKNGDUVSMTZWWxlqbB2Tc7IgUBQqVKh48eI5f3c6nUlJSSIOC5mZmRMnTjxx4sScOXPkV93nFNxatNmlTLBuCTfqFKaGUKSWqHs3cvsPUb+YF+QNz5Jq3n5q1q/8YuWjmbHMyMLmBVvVbmDzimNZ0MNsUEpPy6K6ajdVgIJ+twSl48zujXtBrKDOnTt31KhR/u7wnj17dA+hCfot6mLS46eLgZ3+MmNrm0qFPkoZShl/mZqFTWJUZLC+xcb6kkIja+rhPlHz0YGaj0Zq9qtaw3Yd6+oU9yHcGwIAAACzmP9RVkAP0XwTHR0d7H3xm4E7/+yzz4rc+sYbbxiye5ax/iJmZWU9+OCDcoirUqXK/PnzMzIyxDI3b95866233NoHBw4caPa+bd68WU5x+/btJiU0YcIEkUp4+P/vs9jffvut9u1kZWU9+eST8urh4eF9+/ZNTEz0staNGzfGjRtXrFgxecUGDRrIlyDoya1cuVJefvfu3TmX8djGERYWtn79eu8HIhs0aJBYt0+fPiocu7FOnDiRP39+kXrRokWnT5+enp7u+mtmZubMmTPlvpzw8PB9+/ZZtnveBaWUMTZRcScPGDAg8K1lZ2e3bdtWvp3uvffeNWvWeFnlzp077777rtyO6TOPJCcnV6lSRU6lQIECb7/9dlpampe1UlJShg4dKt9sDoejSpUqycnJua1iWRaWl3E4HO3atfOec51O53fffScfS6VKlW7dupXbwq1atRJLduvWTfvOaxEyZ0ku0z/88EPtOy/UrFlTbCG3DGX2UWhk61vO5caNG24dogUKFBg+fHhqaqqXtW7dujV48GC3brOqVat6iQNOq+6N0MinTksKAgtuMC0MLECfeOIJOT96WTIrK+vkyZPLly9v2bKl2wWtUqVKZmamx7UsKzfNji1aqt+56dOnj1jxoYce0r6iX+mGXhUlQE2bNhVJTJo0yfDth1jN0+l09u/fXyxct25dr0f/fwmtXr26RYsWbvdDy5Ytg5uKebHa7FATMjHZskDx0EMP+VzG5datW1u2bBk2bFjFihXddqxz587Z2dka98SM6x6gQEoZK4NMgHQfpvyPRA6HY86cOTpSl2+bIUOGeFxGkVqiSbuhsUJiTZC3PksGkss0sixsWvOA6TS/pmR4P4WpWTi4wdaChxFrimNFwqzT2guqzlHLKJS1s7LjLGQa9yzLYpMmTcp5UA6HY+/evdoPysXt1bdCbhdakVvU7MdPwahOf6dVtU2PLKgQulDKUMpoZFIWtt2/A5n6eBjEkkKperh21Hxk1HwERcKmT24BMLd8Z0G7Soh1rHtEt2lOFnSbAgAAQIvwnHU7AOqQvyUlD1KFR7Nmzdq2bZuYbdmy5datW7t16ya3bhQpUmTs2LFbtmyRXwX6+eefHz9+3NJ9Nc3MmTPFdMeOHeWxH7Nnz9a+nfHjx8+dO1fMRkdH//rrr9OmTfP+DraiRYsOGTJk9erVsbGx4setW7fK7eMqJKeP0+ns16+f/MVdQ9ji2D0aNmyYOBtFihRZtWrV888/L0YNRURE9OrVa+3atSVLlnT9kp2dPWTIEMt2D3758MMPf/nlFzHbqFGjPXv2NG/e3Msq+fPnHzFixFdffSV+cTqdAwcO9LLKgAED5K9vlStXbvfu3aNGjfL+zepChQqNGTNmx44dd999t/jxyJEjr776qpe1cjI8C6elpX322Wditnr16nPnzvX5osrevXt/9913YvbkyZMff/yxUbsUOM6SR4ochSK7EaCXXnpJrnSVLVt2586do0ePjoqK8rJWdHT0hAkTtmzZIr/18/DhwwMGDDBxX1VlUoXEmoIgzwoPD69YsWL79u1Xrly5ePHiAgUKiD8dOXIkt1q6NeVmaMSWAIVYFSUQWVlZAwcO9PjSfQPlhZqnT4UKFXr00UdXrVo1bdo0+fdVq1bJzRq2SEULpUKNyjE5N8ENFNHR0Q0aNHjvvfcOHTo0atQo+T9LFi9e7HZ3yZS67oZTPMggL/A3yId2lnSjVP3KXzyayQi2gu7iWClcUGhn344zLUwqp4KSxeQu+Hnz5vm7zwsWLHBNhOqHvPQ9fgpGdfrro06TgkaUMjBcgFnYJIZEBisfD+1eUlhTD6fmowM1H2hEx7oOebk3BAAAALoxMBVQWmpqqpj22Q4IufG0TJky8+bNi4mJ8bhkfHz81KlTxWxGRobHlzDZzsGDB/fs2SNmn3766W7duonZlStXXrlyRct2/vrrr3HjxonZmJiY3377LeebIHNTt27dn376qXDhwuKX//znP2lpaYok5y95ywcPHnz//feN2rJD+WP34tChQ3PmzBGzo0ePrl+/fs7FqlWrNnnyZDH7008/bdmyxYLdg1/Onz//1ltvidkaNWosW7YsOjpay7rPPfdcr169xOyuXbvcXogozJkz55tvvhGzlSpVWrdu3QMPPKBxJ2vWrLlu3bry5cuLX7766qtFixb5XNG8LLxy5Uq5mP7uu++KFi2qZcUePXo8/vjjYnbWrFlG7ZJunCXvFDkKRXYjEDNmzJBTd8WB6tWra1y9Xr1669atK1u2rPjlm2++CVbfv/VMrZBYUxDA5YknnhgzZoz8i1ynkn+0ptwMgdgSoNCroujz119/TZ8+vV69ep988ompCYV2zVOHvn37yo/tDodjxYoVNk3FC2VDjWox2Y1qgcL1WvSFCxfK/4T35ptvXrhwwePyyl73wNkoyCAv0BjkQzhLCqqFTR14NJMRbD3ytzhWBxcU2tm348w7U8upYGWxhx9+uFChQq5pf4dn7Nu37/Dhw65p7dfXvjQ+fgpGdfoHLuhNClpQysBs/mZhkxgVGax8PAyZksK8ejg1Hx2o+cAnOtZ1ozcEAAAA+jAwFbCNsLCwYO+C0v766y/5WX348OHFixf3snznzp27du0qZn/88UcTd84qcstvkSJFOnToILdEZ2ZmiheweffOO+8kJyeL2alTpz700EN+7UmjRo0++OADMZuYmDhjxgxFkvNXvXr1nnjiCTE7ZswY+cVgAVL82L1YsGCB0+l0TZcvX97LN+ueeeaZWrVqySuavnPw05QpU+7cueOaDg8P//bbb4sVK6Z99c8++0xuIvT4ZtCsrKyhQ4eK2cjIyEWLFlWsWNGv/bz//vvnz58fEREhfhkyZEh2drb3tczLwvIo60qVKsXHx2tf94UXXhDTBw4cOH/+vCG7pBtnyTtFjkKR3dAtMzNz+PDhYjYyMnLhwoWVKlXyayNVq1adN2+eHAeGDx+elZVl2F4qzNQKiQUFAWSvv/66PCR77dq1mZmZ8gJWlpt2jy0BCskqinaJiYmDBg3q1KlTpUqVSpcu3bdv33379pmdaGjXPPUZO3asPGvSq3ysSSU3KocapWKyGxUCRU4dOnSQs96NGzdGjRrlcUmVr3sgbBdkkBdoCfKhmiVlaoZNv/BoJhBsvdNeHCuCCwq/2LfjzDvzyqkgZrHChQuLEUpHjhyRh0v5JHcXuo17DFU+Hz9lRnX6GyK4TQo+UcrAGn5lYZMYFRmsfDwMsZLCjHo4NR9/UfOBFnSs60NvCAAAAHRjYCqAELFjxw4xTC48PLxLly4+V3nuuefE9OHDh2/dumXWzllF/mhY586do6Ki6tevX6FCBY8L5Obw4cNffvmlmO3WrVvPnj117Mw///lP+Ztmy5YtUyE5fT755JMiRYq4pu/cufPiiy8asllbHHtuFi9eLKZ79+4ttyjlJOc1eUWoICUlRW7ofOGFF/7xj3/4tYWYmJjOnTuL2Z9//jnnMgsWLDh58qSYHTFiRN26df3fWUeDBg0GDRokZo8eParlhjcpC1+6dElMyy/80+KRRx6RZ1X4pgFnyQtFjkKR3dBtzpw5Z8+eFbMjRoyoV6+eju08/PDDchw4ceJE3nnlgUn51JqCALLw8HD5HwuSk5MvXrwoL2BluWn32BKgkKyiaPfXX3998MEHS5cuPXXqlDUp5oWapw733XdfVFSUmDXpmyfWpJIblUONUjE5p6AHCo+ee+45+brMmjVL/v85QeXrHgjbBRnkBVqCfKhmSTdqhk2NeDSTEWx90lgcK4ILCu1s3XHmk0nlVHCzWI8ePcS0X58OE426MTExrVu31r6iffl8/JQZ0ulvlOA2KfhEKQNr+JWFTWJUZLD48TDESgpj6+HUfHSg5gON6FjXgd4QAAAA6MbAVISO1NTURYsW9erVq06dOnFxcYULF65Zs2anTp2GDh0qPzL5lJGRsWjRohdffLFevXqlSpXKnz9/0aJFK1So8Nhjj40ZM+bMmTPmHULg0tPTFy9e/OqrrzZo0KBChQqFCxcuUKBAXFxczZo1e/bsOXXqVO39BNafh9TU1Pnz53fv3r1GjRqxsbExMTG1atXq0aPH0qVLtbxr8ODBg2K6Zs2apUqV8rlK7dq15Vm5+dWONm/efOLECTHbq1cv14T8rrX169efO3fO+3a+//578eWxsLAwt3egahcZGSkPD87tnZEWJ6fPPffcI+/Y77///vXXXwe+WVscu0fnz5/fuXOnmJU/PuyRvMDx48cPHDgQ4A5YH6AMjK6qmTFjRlJSkph98803dWykTZs2YvrSpUtHjx51W2DixIliulSpUvpScXn77bdjY2PF7OTJk32uYlIWTk1NFdP+dj0WK1asbNmyJf+mwvceOUteKHIUiuyGbpMmTRLTxsaBCRMmBLRn9mFSPrWmIIAbtyeRxMREedbKctPusSVAIVlFUVleqHnqEB4e/sADD4jZlJQU+6aSG8VDjToxOSdlA8X7778vppOTk+fMmZNzGcWvu262CzLIC7QE+VDNkm6UDZta8GgmI9hqoaU4VgQXFNrZt+NMC5PKqeBmsccee0x88Un78IyDBw+Knv1OnToVKFDAzz21K++Pn4JRnf5GCW6Tgk+UMrCMxixsEgMjg8WPh6FXUhhYD6fmowM1H2hEx7oO9IYAAABANwamQiFz584N+5toIklOTg6T3Llzx2bx624AACAASURBVOO6M2bMqFSpUteuXWfPnr13797ExMTU1NQDBw4sXbp03LhxlStXfuqpp/bv3+9zH2bNmlWhQoWuXbtOmzZt9+7dly9fzsjIuHXr1pkzZ37++efhw4dXqlSpf//+OV94FsjOuzl8+LBYRd7nsmXLit83bNjgtpbT6ZwyZcq9997bpUuXjz/+eNu2bWfOnElNTU1PT09MTDxw4MCcOXNefvnlsmXLvvnmm7dv31btPCxYsOC+++7r0aPHggULDh48eOPGjZs3b+7fv3/+/PmdOnWqXLnyxo0bHQ5HSkqK2I7c2OdwOC5fviymq1Sp4uMsOxwOh0N+tafD4UhPT9eylrJmzZolpuPi4lq2bOma7t69u/jd6XTOnTvX+3Z++uknMf3YY49VrlxZ9y6NHDly99/++OMP8UnbICan28svv9ywYUMxO2jQoMAHItrl2HPavXu3mI6KinLrg8mpYsWK8lhxeXUdLA5QAUZXA0sHk8iv32vUqNG9996rYyNt2rR5R5KRkSH/9fjx4zt27BCz/fr1y58/v+4dLlSoUJ8+fcTs2rVrz58/73MtM7JwpUqVxPTx48f9fbvB2bNnr/xNfsNuEHGWcqPIUSiyG/ocOXJkz549YjbwOPD888+L2Z07d/r1GhpbMyOfWlAQwCe5CmFxuWnr2BKgUK2iaFe8ePEBnvj7mnzt8kjNUwf5X7jKlCljRhKWpeKRvUJNEGOyR8ENFLlp2LCh3Pg2f/78nMvY67prpMItAXjkM8iHZJb0SM2wqQWPZgLBViMtxbEKuKDwi307zjQyvJwKehYrVKhQhw4dXNPHjh3btWuXloTkkCV3ZOc1uf3PhlGd/gYKYpOCd0HPAsjLfP7blbEMjAwWPx6GXklhYD2cmo+/gh72Q+9+Dm10rPsl6PnLYedmPQAAADAwFbaXnp7euXPn5557Th6X6CYrK2vu3LkPPfTQb7/9ltsyTqfz5Zdffvrpp72/EC47O/uLL7549NFHcw55CqLU1NSuXbu+8sorPh/h0tPTJ0yY0L59+9waSa0/D06n86WXXurevbuX5s5Tp041a9Zs6tSpXrZz/fp1MV26dGktScsvFAwLC9PXWKAI100uZp988sl8+fK5phs0aFCuXDnxp9mzZ3vZzoULF+SGs3/+85+B7FXx4sXrSCIjI4ObXCDCw8OnTZsmzuq1a9def/31QDZoo2PP6dChQ2I6Pj5enBYvGjRoIKYPHz6sL13rA5SB0VVNTqdz/fr1YvbJJ5/Ut51SpUqNlFSvXl3+65o1a+TZvn376ktF6Nevnzz7xx9/+FzF8CzscDjuv/9+MZ2VlfXCCy8o0sGjG2cpN4ochSK7oc/vv/8uzwYeB1588UUv2w9hhudTawoC5LRv3z55tmTJkmLa4nLT1rElQKFaRdHu7rvvnuKJSVk479Q8/eV0OuX3YcvP77ZLJTeKhxp1YrJHwQ0UXsi5eNu2bTkXUPy666PCLQHkpCXIh2SW9EjZsOkdj2Yygq12PotjFXBBoZ2tO840MrycUiGLyeMrNA7OWbBggWuiaNGirVu39mcH7c3L46dgVKe/gYLbpOCdClkAeYeWLGwSYyOD9Y+HoVdSGFIPp+ajgwphP/Tu5xBGx7pfVMhfNm3WAwAAgIOBqbC7jIyMzp07//DDD/KPZcqUadWqVUJCQr169cLD/+8mT0lJ6dChg3jadzN+/Hi3cY/Fixd/8MEHO3Xq1LhxY7eBjtu3b3/llVeMO45ADRs2bPHixfIvMTExdevW7dChQ9u2bWvWrFmoUCH5r7///vvo0aM9bsr68/Dqq69+/vnn8i8RERHVq1dv2bJl3bp1CxYs6PoxKytr4MCB8nun3EycOPHS38aNG6cl6a1bt4rpcuXKuX1A1V5Wrlwpj83u1auXmA4LC+vatauY3bFjh9x15Gb58uXybNOmTQ3dzSAnF6DatWv/7//+r5idOXPmr7/+qntr9jp2N3/++aeYvu+++7SsIg/8PnLkiL50rQ9QBkZXNe3bty8pKUnMym+eM5A8YKxy5cqB91hXq1ZNvtzr1q3TspaxWdjhcDRu3DgiIkLM/vTTT82aNZNzhx1xljxS5CgU2Q19DI8DlStXLlu2rJh16yYJbcbmU2sKArhxOp2bN28WsxEREXK5ZnG5aevYEqBQraIoK0/VPP1y7NixtLQ0MdusWTPDk7AsldyoHGqUism5UTNQyLk4KSnp2LFjbguofN11U+SWANxoCfIhmSVzo2bY9I5HMxnBVjufxbEKuKDQztYdZ9oZW06pkMUee+yxwoULu6bnzZvnc/nDhw/v37/fNZ2QkFCgQAFde2o/3h8/BaM6/Q0U3CYF71TIAsgjNGZhkxgbGax/PAy9ksKQejg1Hx1UCPuhdz+HNjrWtVMhfzns2awHAAAABwNToZSWLVuu/5toBYuKilovyZ8/v7zKuHHj5JaaevXqrV69+ty5c7/99tuSJUt27tx59uzZAQMGiOGp6enpzz33XM4P3124cOHdd98Vs5UqVZo9e/bly5e3bt36ww8/rF+//sKFC4sXL65UqZJY5ttvv5Wb83TsfG7Kly8vVpFTXLRokfi9Vq1a4vdDhw59+umn8upff/31lStXdu3a9eOPP65YsWLfvn2XLl365JNPYmNjxWKffPJJenp60M/DsmXLpkyZImbz5cs3dOjQM2fOHDhwYOXKlbt27bp48eKECRNcQ0azsrL69OmT23mLiYkp9bfo6OjcT/D/Jysr6+OPPxazDz/8sM9VVDZr1iwxXalSJbfD6datmzzr5S2J8lseH3jggbi4OOP2MfjJBW7kyJHyAMv+/funpqbq25Ttjl0m53p5XJAX8mL6BqZaH6AMia4Glg5m2LRpk5iOiIioXbu2Gals2LBBTDdu3NiQbcpRTvvrig3Mwg6Ho0qVKs8++6z8y/r162vXrv3YY499//33t27d0r3l4OIs5aTIUSiyG/ps3LhRTBsVB5o0aeJx+3mBgfnUmoIAbj766KMDBw6I2QcffLBIkSJi1uJy09axJUChWkVRVl6reWo3ePBgMR0XF/fUU08ZnoRlqeRG5VCjVEz2QsFAUadOHXl2+/btbguofN11U+eWAGRagnxIZkkvFAyb3vFoJiPYauezOFYBFxTa2brjzC8GllMqZLGoqKiOHTu6po8fP75z507vy8vfFpO/ORbyvD9+CkZ1+hsouE0K3qmQBZBHaMzCJjE2Mlj/eBh6JYUh9XBqPjqoEPZD734OeXSsa6RC/nKxXbMeAAAAHAxMhVJKlizZ+G9hYWGuHyMiIhpLxO8Oh+PgwYNjxowRs127dt28efOjjz4qL1OmTJkpU6bMnTs3MjLS9UtqauqwYcPckp43b97t27dd03FxcStXrnzqqafkV8SFhYU98cQTS5cuFR/VzM7Olr/U6u/OexEVFSVWES/ZcjgcDRo0EL8XLVpU/P7FF19kZGS4posUKbJixYo+ffqI4xW//+tf/1qyZIn4/ebNm/L3QoNyHlJTU19++WWxbuHChX///fcxY8aUKVNG/BgbGzt48OANGza4DjklJUXLOdRi8uTJx48fF7Nyh4rtpKWlyR91lN+P6NKoUSP5rHppif7rr7/EdI0aNYzbRyWSC1xUVJT8gd+TJ0+OGjVK36Zsd+yyGzduiGn51vJCXuz69es6ErU+UBsSXQ0sHcxw6dIlMV2xYkWTPhx94cIFMf2Pf/zDkG3Wr19fTJ89e1bjWgZmYZdRo0aVKFFC/iUzM/Pnn39+5plnSpYs2aJFi/fff3/Xrl1OpzOQVCzGWfJIkaNQZDd0uHjxopg2Kg7Ex8eLaTma5QUG5lNrCgLIfvrpp7feekv+xa0f2vpy076xJUAhXEVRU16reWqRmZk5ceLEJUuWiF/ee+89w9+Ybk0qPqkZahSMyblRMFCULVtWbreUP9whqHndA6HOLQG4+BXkQy9LeqFg2PSORzMZwVY7LcVx0HFBoZ2tO878YmA5pUgW69Gjh5j2+emwBQsWuCaKFCnStm1b/3fQlnw+froY2OlvCEWaFLxQJAsg5GnMwiYxIzJY/3gYYiWFIfVwaj46KBL2Q+x+Dnl0rGukSP5y2LBZDwAAAA6HI1+wdwDQb8KECeKrdOXKlZsxY0ZuH53r1q3b5s2bP/jgA9fsjBkzXn/9dfkFZvILjXr16iW/dEdWs2bNxx9/XDQZ7N69O/CjCNy2bdvE9BtvvFGtWrXclmzWrNmDDz4oviiV88uxFp+HOXPmyM+cs2bNyu19S/Xq1fv+++8TEhL0JZTTDz/8MGTIEDHbpk0bo56og2LZsmXyawt79uzptkBYWFiXLl0++eQT1+yhQ4f27Nnj9g4/F7np060l2gwWJ2eI1q1b9+7d+/vvv3fNTp48uVevXh5Ppnd2PHZBHiKu8VWgcru8vjeZWR+oDYyuykpMTBTTxYsXNyOJ5ORk+ROyRr3ps1SpUmL6xo0bmZmZ+fJpqtYalYVdypUrt2XLlg4dOhw6dMjtT+np6WvWrFmzZs2QIUPuuuuu1q1bt23btnXr1qVLl9aX1vLly+UPAmv32muvvfrqq36tYt+zZB5FjsKmt9ytW7fMiAPydlJSUtLS0oLe92PHfGpBQeCRledKERcuXDh48OAHH3ywYsUK+ffy5cvLL+sJSrmpSIizWGhXUdSUB2ueHmVlZV24cOHMmTMHDhyYNGnS0aNHxZ9GjhzZr1+/gPbV0FSMjdVKhRqVY7IXCgaK2NhY0T7g8RVUSl33wKl2S1hs4MCBcmuqRufOnfNreUVqiTp245dffqlSpYpRO+Cd7iAfYlnSJwXDphfBejQzliFZOI8HWx18Fscy68OsChdU8aiuQwgXykHvOLNd454KWcylffv20dHRycnJDodj3rx548ePz23Jo0eP7tmzxzWdkJCge4ijIvVGnzQ+fgoGdvrrZk3DhSFUyAKUMi62KGV08DcLm8SMyGD946H1JYXZ/KqHe0TNh5qPdnYJm8qye8e6BdTJXy72atYDAACAg4GpsK+kpCT5pVMTJ04sVKiQl+WHDRv23//+NykpyeFwOJ3OWbNmyc8qcnNP9erVvWynS5curpYFh8NRoUIFfTtvLPkLVK1bt/a+cN26dcXQKfHtQcHi8/Dll1+K6SeeeML7uNOOHTu2adPm119/1ZeWkJ2dPW7cuHfeeSc7O9v1S2xs7IcffhjgZoNr1qxZYrpOnToe36XXvXt30RLtcDhmz57tc2CqxjaUhISEffv2aVnyySefdGuPszg5o0yePHn58uXXrl1zOByZmZl9+/bdvHlzeLh/HyG36bG7iOzvcDg0tpwWLFhQTOv79LH1gdrA6Kqsq1eviumYmBgzkpBbZh3GNc66befatWt33XWXxnUNycLCfffdt3nz5rfffnvGjBm59Tldvnx55syZM2fOdDgctWvX7tGjR79+/fxtyU1NTT116pSOPdTXE2bTs2QqRY7CjrecHGocxsUBtz7aq1evli1b1pAt62bHfGpBQeCRxefKAmvXrs2tS9jpdCYmJnqs/xQsWPD777+Xq0nBKjcVCXFWCvkqioLySM1z9+7dYWFh/iYRExMzfvz4/v37a1zemlQMj9WWhRq7x2QvVAsURYsWFS9mcjW65hRKRYyCt4SVrly5cuXKFbNTUaSWqGM3MjIyjErd1CAfSllSC9XCphfBejQzliFZOI8HWx20FMeC9WFWhQsa3KhuhhAulIPecWa7xj0VsphLwYIFO3bs6PpG38mTJ7dv3y5/HEkmXizrCOx7g4rUG416/BQM7PTPjTVNCtZQIQtQyugTqlnYJCZFBosfD60vKczmVz3cI2o+1Hy0UyRs2pqtO9YtoE7+EmzUrAcAAACHw0FFDXa1dOnStLQ013Tt2rWffPJJ78sXK1Zs4MCBYnb16tXyX++++24xvXPnTi/b6dmz589/Gzt2rN/7bYJffvnl0N8eeugh7ws7nU4vf7XyPFy8eHHz5s1idtCgQT5XCfylg3/++eejjz46fPjwzMxM1y8FChRYsmSJlw8hqi8pKWn58uVitlevXh4Xa9Kkifwaqjlz5ni8GeQ2qcjISC07cPHixVPauI1LsT45o8TFxYkvMDscjm3btsmt/BrZ9Nhd5D4YjZ0ugQ9MtT5QGxhdlSX3kURHR5uRxI0bN+RZjZ/Y9Sk2Nlae9eueNyQLy2JiYj766KMLFy588803bdu29f7Nxr179w4fPrxcuXJ9+vQ5duxYIOmairPkkSJHochuaGdSHHDbzs2bNw3ZrI0Ykk8tKAjyiLS0tNwqZqdPn/ZY+SlcuPDcuXObNm0q/xjEctN2sSVAeaGKopq8WfPUIj4+/tChQ2b/c6c1qfhkTagJgZicG9UCReHChcW0/AYrNyFTxCh4SwAufgX5kMmSWqgWNr3g0Uwg2PpLY3EcLFxQ+MXWHWc6BF5OKZXFevToIabl14u7mT9/vmsiOjq6bdu2unZQIUY9froY2+lvIEWaFHJSKgvAjozNwiYxNTJY/HgYYiVF4PVwaj7UfGAlOta9Uyp/udioWQ8AAAAOBqbCvjZt2iSmmzVrpmUV+fVUBw4cEB/MdDgcDzzwgJj+8ssv5RfOqe/++++v+reIiAgvSzqdzi1btnhZwMrzsHXrVjFdvnz5xo0b+1ylffv23ltCvUhJSXnrrbfq1Kmzbt068aPrXYYa7x9lLVy4MD093TUdFhb21FNPeVwsPDy8S5cuYvb06dNyJhKKFi0qpl0vnTKVxckZqE+fPo8++qiYHTZs2NmzZ/3agn2P3aFrEKa8itPpFIPDtbM+UBsYXZUlN5WmpqaakYTbawJv3bplyGbd9tbfNt/As3BOUVFRzz333IoVK65du/bbb78NHjy4Tp06ub12+s6dO99++23Dhg3Xrl0bYLrm4SzlRpGjUGQ3tDApDriNRC1WrJghm7WXwPOpBQUBPHrooYe2bduWkJDg9nvQy00bxZYABf1Ue2RG4auOPFvz9Gnnzp1PP/30oUOHjN1sUFLRSLVQo2xM9kipQCEfi89/VVHtuuug5i0BOHQF+RDIkhopFTa94NFMINj6y6/i2HpcUPjF1h1n+gRYTimVxdq1ayeiUG7DM06cOLFr1y7XdMeOHa383qAicnv8dDG2099ASjUpyJTKAsgLvGdhk1gQGSx7PAyxkiLwejg1H2o+sBgd614olb8EuzTrAQAAwMHAVNiXPATowQcf1LJK1apVxXRaWtr58+fF7COPPCKms7Ozn3766UcffXTOnDny+8nsbu/evT179vT+mUErz4M8MLVRo0ZaVsmfP3+FChV0pLV48eJq1aqNHz8+IyND/Fi7du1t27Z169ZNxwaVIg/Pa9KkSfny5XNb0u1g58yZk3OZEiVKiOnExEQjdtAbi5Mz1ueff16gQAHXdHJy8oABA/xa3dbHLr/98c6dO1pWuX37tpjOnz9/vnz5/E1U2UCtJboqS74PTTqTchIO4/pU3F6kJ78CVqMAs7AXBQsWbNWq1YQJE3bv3n3x4sXvvvvumWeeKV26dM4lr1271qZNG/GaTO+6devm1GXkyJG6j8V2Z8liihyF+recSXHAbTtuqQSFHfOpBQWBR0E5V8EVFhZWvHjxGjVq9O/ff+XKlZs2bapWrVrOxdQpNxUJceZR51S7Ma/wDbo8UvOMjIws64tbB7/D4Vi9enWDBg327duncZesScWCWB2sUGO7mOxGnUAhvyjE7d3nXti3iFH2lrCG63Mr/qpYsaJfqShSS9SxGzVq1DAqdWuCvGDfLKmdOmHTi2A9mhnLkCycx4OtDn4Vx9aHWRUuaHCjuhlCuFAOeseZ7Rr3VMhiQsGCBTt27OiaPn36tPyfAIJckejevXsA+6hKvdEnjY+fLsZ2+ufG4tqmqVTIApQyLrYoZXTwKwubxJrI4GL246HFJYXZ9DWLyaj5UPPRzi5hU3027Vi3gFL5S2aLZj0AAAA4GJgK+zpx4oSYDgsL26LB5cuX5Ze6XblyRUw3b95cfnucw+H4/fffe/bsGRcX17hx46FDh65YscKoVwFZIC0tbffu3QsWLBg3blzfvn0feeSRYsWK1alTZ+7cud5XtPI8yG8wqlWrlsa1vDSz5pZKx44du3TpIicXHh7+xhtvbN26tWbNmn5tTUEXLlyQ30TYq1cvLws/8sgjcXFxYnbevHlZWVluy5QsWVJMy4O3vdi2bZuXRq6VK1d6Wdfi5IxVpUqV4cOHi9mlS5cuWrRI++q2PvYAB6bqe7OsCoFad3RVlty2aNJrOIsUKZI/f34xKxe+gZD7ZkqUKCEnoVGAWVijUqVK9e7de8aMGa5w3b9/f7f23PT09P79+yclJRmetCE4S9opchSK7IYbC+KAWxJ5SoD51IKCII9o166d967f7Ozsq1ev7t+/f+rUqS1btsxtO2qWm2rGlgCpeaodVhW+QZFHap41atQ468v169cvX768du3a5s2bixVv3brVsWNHjfnImlQsZmCoCe2Y7FApUMj/fKPv8/X2KmKUvSUQYoIY5O2VJbVTJ2x6waOZQLD1V+DFsam4oPCLrTvOdAuknFIti/Xo0UNMe/x02IIFC1wThQsXbteuXQD7qAqjHj8dJnT65yaUmhRUywKwHQOzsEksiww5mfR4GEolReD1cGo+Dmo+sBwd67lRLX8JtmjWAwAAgIOBqbCprKwsefTRs88++5AGTZs2dTqdYi2358PvvvtObjJwyczM3Lhx47hx49q3b1+sWLFmzZpNmjTp8uXLph6dblu3bn3llVdq1aoVHR1dr1697t27Dx06dPr06evWrdP+libLzoO8S9q/cOXXF1O/+OKL6tWrL1u2TP6xWbNmO3bs+OCDD8TrlGxtzpw52dnZYvall14Ky12+fPnkhoO//vprzZo1bhssU6aMmN6xY0d6enqAe+h9oKDFyRnu3//+d/Xq1cXswIED5dciemfrY5cHpqakpGhZRV5MXt0vwQrUhkRXNcm9HadOnUpLSzMjlbvvvltMG/Vp2d27d4tpjy9q1SKQLOyvsLCwZs2aTZ069dSpUwMHDgwP/79K+LVr10aPHm1SuoHjLPlLkaNQZDcEM+LArl27xLRcquZBgeRTawoC+EXZctOhXmwJkLKn2srC10p5vObpJi4urlmzZqtXr5Y71E+fPv3f//7XkO1bmYrhlAo1yt5RKgSKCxcuJCcni9kAPz2n1HX3QtlbAnmQqUHeLllSOxXCpnc8mskIttoZWxybhAsK7WzdcRaIQMoppbJYu3btihYt6pqeP3++/I8ZDofj1KlT27dvd0136NAhKioq4D0NKYZ3+gfILk0KSmUBwHAqRAZjHw9DpqQwpB5OzceFmg8sRsd6bpTKXzL1m/UAAADgYGAqbOr69etuz/M6uLXpFCpUaO7cuUuWLKlfv77H5bOysv7444/BgweXLVv2nXfeycjICHAHDHT27NkePXo0bNhwypQp+/fvl5smZdWqVYuPj/e+KcvOgzyaS/vnEzWOOkhOTu7Vq1f//v3lpsAKFSrMmzdv7dq1devW9WtXVTZr1qxAVp89e7bbL40bNxbTaWlpgTc0/PXXX17+anFyhsufP/+0adPEp5gvXLjw1ltvaVzX1scut7VdvHhRyyryYrpf3G59oDYwuqqpTp06YjozM1Me5eWvoUOHRv0tOjpaLmQbNWokpjds2KA7Cdn69evFtHwUfgkkC+sWHR398ccfL1q0SP6K+2effZaZmWl20vpwlnRT5CgU2Q251DMjDjRp0sSQbdpUIPnUmoIAflG23JQpElsCpOypDkrha4E8XvP0KCwsbMSIEfIbuH755RcDt29lKmZQIdQoe0epECj27Nkjz+b2nO4vFa67F8reEsizzA7yimdJ7VQIm97xaCYj2GpnUnFsLC4otLN1x1kgAimnlMpiBQoUSEhIcE2fOXNm69at8l/FR8McDkf37t0D28cQZHinvyHUb1JQKgsAhlMqMhjyeBgyJYUh9XBqPq5Zaj6wGB3ruVEqf8nUb9YDAACAg4GpyMs8PtElJCRs27Zt7969I0aMaNCggfyyNyEjI2PUqFENGza8cOGC+bvp2/Hjxx988MH58+e7/V6wYMH4+PgePXoMHz587ty5J06cOHjwYLNmzbRs04LzkD9/fjGt8YuLDofj6tWrPpe5du1a8+bN5TbWyMjId955588//wyxtp7Dhw/v2LEjkC0sWrTILSM0bdpUnl21alUg23c4HCdOnPDyV4uTM0Pjxo379esnZqdOnbpp0yYtK9r62O+//34xfe7cOS2ryIGicuXKgaRuWaA2I7qq5uGHH5aj8ebNm3VvaufOnbf/Vq5cOXmzzZs3F9NHjhzReM94cfr06ZMnT4rZjh076t6U7iy8ZcuWn/6mI/d16tRp4MCBYvbOnTvHjx/3dyOWyeNnSZGjUGQ3dDM8Dpw8efLMmTMet5836c6n1hQE8IuV5abdY0uAQrKKojJqnh7lz59/wIABYnbfvn3Gbt/KVHJj61Cj8h0V9EAh/69ViRIl7r33Xvmvtr7uXqh8SyDP0hLkQzVL+iXoYdM7Hs1kBFvtvBfHiuCCQjtbd5wFSHc5pVoWk/vi582bJ/9JdLcVLly4ffv2AexjCDKj098owW1S8Em1LAAYyKTIEPTHw9AoKQyph1PzEbPUfFRz69atVZLExMRg75HB6Fj3SLX8JVO8WQ8AAAAOBqbCpmJjY+V3sKWkpDj998QTT+S2/Vq1ar377rtbtmy5evXq0qVL33jjjfj4eDlFh8Oxa9eul19+2cSD1ObOnTtt27aVX3tWvnz5CRMmbN68+caNGzt27Jg7d+7o0aN79OhRqVIlfzdu6nmIjY0V01qGm7qcOnXK+wK3bt1q0aKF3D5brVq1LVu2jBw5Mioqyv/dq32vtQAAIABJREFUVJrb+xFbt27dQYOqVauKVa5fv75ixQp5IxUqVChfvryYnT59em6fiNTot99+8/JXi5Mzyfjx40uXLu2adjqd/fr10/KhTlsfe5UqVcS03IrkxenTp8W0fBPqZnagNjW6qiMqKqphw4ZiVvdbV7Ozs+Um15o1a8p/feSRR+TZL7/8Ul8qwhdffCGmIyIi2rZtG8jW9GXh8ePHi7g6depUHek+88wz8uyff/6pYyOWUfksyaPTs7KydKQir5VzrLsi11qR3dDNbeBo4HHA7SR4HJhq9r2hGn351JqCAH6xsty0e2wJUEhWUVRGzTM38ot7Ll++bNI36KxJxSNbhxrF76jgBoo5c+aI6QYNGuTcN/tedy8UvyWQZ/kM8qGaJf0VSNg0+wGTRzMZwVY778WxIrig0M7WHWeB01dOqZbF2rZtW7RoUdf0/PnznU6na1r+jNjjjz9eqFChAPczxJjR6W+gIDYp+KRaFgAMZFJkCPrjYWiUFIbUw6n5UPNR1pEjR1pJtmzZ4mVhcdTeqdZxT8d6TqrlLzeh120KAAAQYlT/51rAo4iICPFg73A4rl+/blJCsbGxHTt2/OCDD3bs2HHmzJnx48fL6S5ZsuSXX34xKWmNZs+eLb9/buTIkUePHh08eHDDhg0NfJeSGeehWLFiYlr7mzV9Dkzt16/fnj17xOyzzz67c+fOevXq+bt7tiA3cNx///2//vrrjxq4NS7Ln5Z1efLJJ8X0qVOnfvrpJ917eOrUqd27d3tfxuLkzBAbG/vxxx+L2f3790+cOFHLivY9dnlg6s6dO7W0M8rDxeXVA2dSoLYmuqqgRYsWYnrHjh1yCNVuw4YNN27cELP/+Mc/5L9WrVq1du3aYnbatGmBvLY5LS1t2rRpYrZx48ZygaKDviwsJ6rvOyG1atWSh1JfuXJFx0Yso/JZKlGihJhOSkrSkYr8js+77rrL7a+KXGtFdkO3ypUr161bV8z6FQdeeeWV6dOny78kJye7xYGyZcvmXNHse0M1uiskFhQE8IuV5abdY0uAQrKKojhqnh5VqFBBTGdnZycnJxuehGWpeGTrUKP4HRXEQLF9+/ZDhw6J2W7durktYOvr7oXitwTyLJ9BPlSzpL8CCZsWPGDyaCYQbDXyWRwrggsKv9i34yxw+sop1bJYgQIFOnXq5Jo+e/as+If7hQsXimXkb4vBxaROf6MEsUnBJ9WyAGAgkyJD0B8PQ6CkMLAeTs1HzFLzsa87d+5oWUy1jns61nNSLX+5CcluUwAAgFDCwFTYVfXq1cX0kSNHLEixbNmyb7755t69e4sXLy5+3LBhgwVJezFjxgwx3bNnz3feecfsEVNGnQf5bU+bNm3SskpWVpb3bzMuXLhQfi/dSy+99M033xQsWNDffbOFbdu2HTt2TMw+/fTTGld85JFH7r77bjG7dOnSlJQUeYGBAwfmy5dPzI4ePVrfu8ocDseYMWN8Dlm0ODmTdO/e/fHHHxezo0ePlq9Obux77I0aNRLvn7tx44bPIHzlyhX5i6mNGzc2accMDNTWR9dgef755yMjI8Xse++9p2MjX3/9tTyb85vkgwYNEtOXLl0KpH1w7Nix8ne2X3rpJd2bEnRk4fvuu09Myz1P2rm+9y5m77nnHh0bsZKyZ0m8FtGh4QUWOSUmJsp9GPLWXBS51orsRiDc4sCkSZO0rPXVV19NmTKlb9++b7zxhnhP8Pvvvy931bz55pse1zX73lCQvgqJNQUB/GJZuRkCsSVAoVdFURw1T4/khxeHw5GWlmbfVDyye6hR/I4KVqAYMmSImC5SpIj8X3Qudr/uXih+SyBv8hnkQzhL+kt32LTgAZNHMxnBVgufxbE6uKDQzr4dZ4bQV06plsV69OghpufNm+eamD9/vmuiUKFC7du3172HIcm8Tn+jBLFJQQvVsgBgCPMigwqPh3YvKQysh1PzoeZjC94/GOMWZHL7xyoFO+7pWM9JtfzlJvS6TQEAAEIJA1NhV40aNRLTixcv1rLKn3/+OeJv3377rfh9+/btr/9twoQJ3jdSoUIF+Unp4MGDfu64wfxti7xw4UJuf7L4PDRo0EBMnzp1SsvY1F9//dVLb0p2dvbIkSPFbPv27T/77DP5RX0hRn4/osPh6Nmzp8YVw8PD5Xax1NTUpUuXyguUK1euS5cuYnbbtm3jx4/XsYe7du365ptvfC5mcXLm+eyzzwoXLuyavn379osvvuiz2de+x16yZMn69euL2WXLlnlfXn6zY5UqVe6//35/U7Q+UBsYXRVXrlw5OYAsWLDg559/9msLiYmJomHd4XBUq1btgQcecFvmqaeekr9n+O677+7du1fH3m7dunXcuHFiNj4+3qj/uPI3C8vvLPzzzz+3bNnib4obN26UZ+VeQGWpeZbktzb+8ssvYuyiRkuWLJGPIj4+3m0BRa61IrsRiCeffLJ8+fJidtSoUT7jwNGjR//1r3+5pv/zn/907Njx1q1bGzdulONA9erVO3To4HF1s+8NNemrkFhQEMAvlpWbIRBbAhR6VRTFUfP0yO2fjTS+X1zNVDyye6hR/46yPlB8//33q1atErO9evUSOyDY/bp7of4tgTzIZ5AP4Sypg76wacEDJo9mMoKtT1qKY3VwQaGdfTvOjKKjnFIti7Vp0yYmJsY1PX/+fKfTee7cOfEBsccee0zleBUU5nX6GyWITQpaqJYFAEOYFxlUeDy0dUlhbD2cmg81HzUVLVpUnvU+jvTs2bPybFxcnMfF1Oy4p2PdjWr5K6cQ6zYFAAAIJQxMhV21aNFCTH/11VdJSUk+Vxk6dOh7fzt69Kj4PTEx8cO/jR492uejr/zWJZPeOqmdPBRKS3vf9u3bc/uTxechPj5eNM04HI4PPvjA5yqffPKJl7+uXbv2wIEDrumoqKhPP/3U312ykezsbPnbsPXr169atar21d2arWfPnu22wMiRIwsUKCBmR40atWbNGr/28OrVq126dMnMzNSysMXJmaR8+fKjR48Ws6tXr16wYIHPtex77O3atRPT3333nfeFZ86cKablt5dpZ32gNjC6qm/w4MHybN++ff16Q+FLL72UnJwsZp9//vmcy0RGRsoZJD09vUuXLmfOnPFrP48dO9a9e3e5//v999836gUE/mbh5s2by6XYa6+95u/rS6dOnSqmq1at6lcYDxY1z1JCQoKYvnLlypdffql9+3fu3Bk7dqyYrVChQr169dyWUeRaK7IbgciXL5/8xtD09PSuXbu69VS5qVy58rBhw8Ts8uXLGzVq1Lt3b/nYR48enVscMPveUJO+CokFBQH8Ylm5GQKxJUChV0VRHzXPnNye5kz68Ig1qXhk91Cj/h1lcaBYsWLFCy+8IGZjYmLefvvtnIvZ/bp7of4tgTzIZ5AP4Sypg76wac0DJo9mAsHWO43FsTq4oPCLfTvODKGjnFIti+XPn79Tp06u6fPnz2/cuHHhwoXi/8W7d++uY5shzOxOf0MEsUlBC9WyABA4UyODCo+H9i0pzKiHU/Oh5qOgu+66S56V/8k2p5UrV4rpwoULu31oXVCz456OdTeq5a+cQq/bFAAAIGQwMBV21bZt2woVKrimU1JShgwZ4n35rVu3LlmyRMzKj7uVKlUS08nJyT6beDZs2CCm5bcEBUV0dLSY9t4Q4HA4pkyZcuLEidz+avF5KFCgQK9evcTswoULly9f7mX5n376yfsCCxcuFNPt2rWTDyf0rF69+tKlS2JWPpNaNGzYUD4/v/zyi9vQ7urVq8tvrsrIyGjfvr32J/lTp041b95ce7OLxcmZ55VXXpFfMHn69Gmfq9j32P/5z3/my5fPNb1nz54ff/wxtyU3btwo3hkZFhamr03N+kBtYHRVX82aNfv37y9mz58/36JFC++jxYSPP/5YvmPLlCnz8ssve1yyT58+8jvwjh8/3qxZsyNHjmjcyX379jVr1kxu8UxISGjVqpXG1bXwKwsXLFjw2WefFbObN2/u37+/9tc6zpw5Uy7U/A3jQaTgWWrbtq383s0333xT40Bxp9P5wgsvyJn3f/7nf3Iupsi1VmQ3AvTMM8/ISR87dqxZs2byF6pzGjFixMyZM0WP7P79+0+ePCn++sILL8gvEnZj9r2hLB0VEmsKAvjFmnIzNGJLgEKsiqI+ap45RUREyLPXr1+3byoehUCoUf+OsiZQpKenjx8/vnPnzvLncSZOnFimTJmcC4fAdfdC/VsCeY3PIB/aWVIHHWHTmgdMHs1kBFuP/CqOlcIFhXb27Tgzio5ySrUsJn+sb968eeLyRUVF6Xt9bQgzu9PfEEFsUtBItSwABMjUyKDI46HtSgrz6uHUfKj5KCgmJqZKlSpidsGCBVeuXPG4ZGJiovxZ5qZNm4aHe/53dGU77ulYd6Na/sopxLpNAQAAQgYDU6G69PR0j79HREQMHDhQzE6bNm3MmDG5beTIkSMdO3YU76Nq0qRJgwYNxF+rVq0qD1saNGhQampqbpv67bffFi1aJGbbtGmjY+cdDkd8fHycRPeXV+WGgBkzZnhZcsqUKa+99pr8i1vbovXnoX///nJ7xFNPPbVlyxaPS+7Zs+fpp5/2koTD4ZAHqjVs2PCq/7xvXymzZs0S0+Hh4U899ZS/W5BXSU9Pl6+my2uvvSZ/l/jOnTs9evR45plnvL8HKysr6+uvv37wwQf379/v+qV+/fpa9sfi5EwSERExbdo0t845n2x67BUqVOjdu7eYfe211zxmolu3bvXv31+E365du9aoUcPjBr1HResDlIHRVXuiQfSf//ynTp06YvbkyZN16tT5+uuvvaxy+/btfv36vfrqq/KP7733XlRUVG6rfPHFF3I32OnTp+vWrfvee+/J/Tc5paSkDB06tH79+hcvXhQ/xsfHy1/iNYS/Wfjtt98uVqyYmJ0+fXq3bt3OnTvnfS2n0zl9+nS5rbxUqVJup1FlCp6lwoULjxo1SszeuHGjVatWH330kfeXdm/btq1Fixbff/+9+KVs2bJu77a08ii0UGQ3AvT555/Ln6E+depUnTp1xo4d6yUw9urVa+HChTk7sapVq/bRRx95ScuCe0NN+iok1hQE8Is15WZoxJYAhVgVRX3UPN2ULFlSnj1+/Lh9U8lNCIQaxe8oUwPF7du3d+3aNWrUqOrVq7/11lu3b98Wf+rWrZv8mQg3IXDdvVD8lkBeoyXIh3aW9JeOsGnZAyaPZjKCraC7OFYKFxTa2bTjzCj6qvdKZbHWrVvHxsa6pmfOnCleJvvYY48VLlw4kC2HHgs6/QMX3CYFjZTKAkCAzI4MKjwe2qWksKYeTs2Hmo+COnToIKZTUlJGjhyZc5k7d+68+OKLci+/lzdKK9txT8d6Tkrlr5xCr9sUAAAgRDgBJYkP8TkcjmPHjnlcJiMjw61VpW3btps3b5aXSU1NnTx5stxWHh0dvWfPHrdNuX1wtVatWsuWLUtPT5eXuXz58qhRo+Qmg3vuuSc1NVXfzlesWFFOMTk52eNiNWvWFMucO3cu5wLvvvuuvJ0hQ4akpKS4LbNnzx65vUB4/fXXg34e5NHFDocjf/78I0eOvPz/2LvzICmqww/gM8usrJxhBTmEWgEvYFGkIl6IWl6UovGAimc8opYVIUkF7yKpMsaIV8UjqcSkNLHQ8kCsEtcT8BaPRAQUwQMjrhrEBcVFGVdgfn9MajK/vXi7O9MzO/v5/NU7++a91zPdr6/5dq9blymwcePGm2++udmD8NmzZ2eKJZPJ7ObaIZFINNvDXHn11Vezmxs8ePCubfTSSy9lZrZv376Zqo444oh29GfZsmXZ/Wm2ko0bN06cOLHRB1VRUTFt2rQ5c+bU1tZu2bIl06UlS5Zcc801e+65Z3bhCy+8sL6+PvPVnH/++a10KbLmFi5cmP2upUuXNi3zl7/8JVNg4sSJbfpsf/WrXzVdwM4555ximPfc+uCDD7KHgn322ef999/PLvDhhx9m3wWgoqLi7bffbqm27Y6KEQ9QuR1dAxttk8ySPH369A5Wlfbuu+9mPyc2be+9977++utXrVr13XffpYtt3LjxjTfemDlzZqPr0LFY7LzzzttuK//+97+zQ79pgwcPnjFjxrPPPrt+/fpMybq6ugULFlx00UXZ901M23XXXf/zn/+00kpkq/ATTzyxww47ZJfs3r37BRdc8NBDD61du3bbtm2ZkslkctmyZbfccsv48eMbVX7vvfe21JnsGwf26NGjrRuObF9//XWpfkqpVGrLli2HH354o7cMHDjwuuuue/HFFz/99NNMKxs2bHj88cenTp3aqHB5eflTTz3VShMRzEWITr3IZaxZs2bUqFGNejVkyJBf/OIXzz///IYNG9LFtm3b9vnnny9atOjss8/u0aNHrIlzzz1369atrX9iESwbpbGepuV7QxDNArZdOdyAnnjiiZk5mjx5cgdra1Y02818jy0hu98tOeecczJvPOCAA8Lf2NZ2S2wXpYMmT56caeKmm27KRxOltOeZSqWy7409bty4dnwgmWeDx2KxSy65pICt5G+szvdQUzJjcmQDxQEHHJAp06tXr2a/xKqqquwTUI1MnTr1+++/b71LRbIX3ZKObGVSEQ4yHdTu2ayrq8vu6v3339+O1nfNOttzxRVXNFumSPYSs7sxderUdtfTSOAOSTSDfPSrZAfXshBR7l9FcICZltc9pRxep0jL9ypcwME2goORaDbHRTLMpkX2heZpVO8gG+U2iezCWSmd3ItmFbvpppsyhVs5+Dr77LOb9v++++5rtnD2gwFjsVhdXV2zxYpkEc3h4WdkF/2j2dtsVgQ7hBm2Mu37qLvaViZPZ5A63c+B8np4WMAtRVHth7eJPR97Pk0Vdtisra3N3vrHYrGpU6d+8cUXmQIff/zxoYceml1gl112yZyyaFa+z6uU2IX1ZrlsmhHlZVMAAEIIplKkBg0alDlm2H333WfNmjV79uyZM2c2yiCtWrVqp512anSMUVVVddRRR5188snjx49vdARYVlZWU1PTtLkNGzY0PTpKJBJ77rnn8ccfP3ny5FGjRjU6KxePxx999NF2d37XHAVT169fn7ntVtrAgQNPP/30WbNmXX311RdddFF2DeXl5dk/MN1hhx0uv/zy+++/P5OPiv5zqK+vb/r4xPLy8nHjxk2ePHnChAnZkdQePXpkn3TIDqYuX7481jERB1PbYeHChemq5s2bl/36XXfd1b4ujR49OlNJWVlZs+cCvvnmm1aeNllWVrbzzjtn30wx26WXXpquZL/99ku/st20ZDTN5TuYumnTpqqqqkbd2+65j4g/6ly57777snuSSCROPPHEWbNmXXnllSeccEKjuHjry+p2R8WIB6jcjq6BjbZJzoOpqVTqtddeGzx4cLOLWTwe79+/fytXX4455pjWzzJn1NXVZV/saaR79+6DBw9u9FVmGzt2bKMIdFNRrsLz5s1r6VZ83bp169+//9ChQ/v169f0YY9pv/vd71rpTPbFhg766quvSvVTSvv6669buQtsRUXFkCFDWrojabdu3R544IHtNhHBXITovItctvXr1x900EEtvbeiomLw4MHl5eXbbWXKlCnbvZCW72WjZNbTtLxuCCJbwFrXuYKpqUi2m6k8jy2dIpiaKrldlI6IIJiaKqE9z1Quft+52267ZWoYOHDg5s2bC9VKXsfqvA41JTMmRzZQtDIj25VIJC699NLAn98VyV50szr+C+loBpkO6ly/Tu6gjuwldvZgasggn4p8lSzyYGo79q8iOPmQlr89pRxep0iLYBUu1GAbcTC1rcI3x0UyzGZE84WKDDXViTbKGdFcOCuxk3sRrGKB8YzHHnusUeUVFRX19fXNFm5HPKODOrKI5vDwM7KL/pHtbTYVZTA1ZSvTro+6q21logmmtkP0PwfK3+FhAbcURbUf3lb2fOz5NFLwYfP6669vWtWIESOOPvrocePGNRocysrKnnzyye3WmdfzKiV2Yb1ZL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width="600" alt />
+<p class="caption">Figure 14: test.fastq2_LAGGING_0</p>
+</div>
+</center>
+<p><br /><br /></p>
+</center>
+<div class="figure">
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Ab6Miw6Mq0qgArAZ5kiqZN1Cl4+KMdEDv2OQDnSjku9/F+GpgJwjeTZ1FmREaN87+sB+FXaU1AhZ9fkmzb2agAAoB+CqQAAAAAAKUmWAuSTKmBT14ST5I3Xgd2BORKq+h2BQhQ4llk2FaA3ObKps2JuuUVS+1TUuNTLshVtKZBKk5HUD85VJTnSAt9rAAAA5PAnugAAAAAAAAA6UmBup2TJGx8LaQpMW4kO9ax8Z6vmnSlV+DWcIL0AwPUy3fC/PT2c/8mxeLEfDXCW8BRUzs7MdxJW6NQNAADNMzEVAAAAAKZz//ocW8Dr/b8k64QfCACMVMWEk+bHcSQc6FTIECegW4OvKVdeUAZftkzlAuhQprmpZ5eVc99+izMxK3Jc6mXxQrYUwjfqe/gvDqlOR3XtWmS9lAAAAM0QTAUAAAAAAGAixTaVFijtOI5USyWn0xFoQOGDhWVTATo0wW32h/VHPnR4KADK1Gcq9azGmgEAgIkJpgIAAAAAAMBtcod8OkmlnqVqmjc0FZp03K+jS8jopkvJmMFcAHTofG88WeCzrmSpB4cqFP5mq3KGppJPz6lUAACAa/yJLgAAAAAAAIAulNZUWmwbaFep1LNUddbVDQ+0oYqwaBVFApBDLU8EU/I7qULzdy/NHyAAAAA9MDEVAAAAACCZ0jJXAORT/oQT/dYAuU18/28wFwADTDw6tWQekfoh9sl4xqUCAAD8SjAVAAAAACCNkQ1POsWBtpXZFTom4ZNJt/3id48v3R47ZHXcrxerXXQVfDT4zr/AKxcAVRBPLT8bdv/6HF1CKTq527EbDAAAQO0EUwEAAAAASqEbCeBLzo0DlN91/VmNNQM9qy4y4XEDgD5fB+NBAwAAACCHP9EFAAAAAAC0IFVXenXd7QC1GxPRSX7STtUjrvEaILcxl4CR6dCirlwAVOfu8eX8T3Qh2fVzpI3p6nalq4MFAACgPSamAgAAAACMpYUI4GeB6R0AAAA+Oyc2mxygKowKAAAAMAHBVAAAAACAUZKnUufbpRQWQC2ctAHyOe7X0SV8LfyFC6fNYXANrlwAvHfJcDaQUJVHbUCHr/9zb8Z4hZ/AnZwBAKBhgqkAAAAAAMNlapbSkAS0JDy9c82nlND8mqqPUMNfJi7NwFkh1zXZVADSqjSh2vbjz4A/i7Z/Ia1ybwYAAEClBFMBAAAAAEqkIQmgFs7YAABAM8pPqNaevcz6i71p8dJ+kyW8MQoAAAC4nmAqAAAAAMBAuZulJJ2ABow8VWpLBRjvuF8vVrvoKhpRyLjUy4KGpgKQz4fUYlROtbTw5E2KDfeefVle1C+888d/92YAAADUSDAVAAAAAGCIaZql9CQBVMHpGqAHjeUlXLwAuMmXecWEwcuqA6gXhSdRr/HhENr4cwEAAAByEEwFAAAAALhZYy3pAJk4WwIw2HG/ji4hpUwR0DFDUwFgPKnFWRNh1B9cji7rn7X7mZmXhpTn7vElybf77ekh96ky0/ptn9wAAIAk/kQXAAAAAABQmYk7pTRmAQBAuDG35VkzBmMW96wBAIO9PT2c/4kuZCK9HS8AAADwKxNTAQAAAACmcO4XH9b57X35QI16y7o4VwM0rOGLmusXANxkmmTmyPmHWYtMPkN15I1WaXcyYw7HjVlpKhqaCgAAEEIwFQAAAADgBuM7pWRTKdD4FivNVdCVwofkOCMBRZngNn7wUwYAcL1Mz0E5nl++XDN5/ecFY5+/7JeSW8Js6iz6+wIAAJCcYCoAAAAAwLUGd3sn6ZGSTeUmE8fGbv04bVg0yYmaMkmsMZvNjvv1YrWLrqJWzX+DXL8A4GfJ91hCdkXef2jCIxoZt2vvRmvk85cbswKlyqbOjE4FAACaI5gKAAAAAHCVVKlU4RCSK3x04Ze+q1lvVjOc6ADgzDURAOqVdsulnE2PSyWxcbuRt0mtBjhlUwuUNps6K+lsAAAAMIZgKgAAAADA79LOSh2cTdWWxKzOGOr13h+dDi1q5EQNkMRxv44u4T+dxEpdvwBq8Xr/L7qERty/Pv/67yTcgSl2i+NcWJIjNQrywnsJm5TwyzITTwUAAFrxJ7oAAAAAAIDS5WgkGtz2raupT29PD5d/omuZTp9H3QZnKgDa0NUVrauDBYCfJdyLuHt8KT97lqrCm35pxqX+wI1ZsdJ+o+18AgAAtTMxFQAAAAAgl0wNUsYZ9SNfW9IEPZFpi7+sVn43JzhLAwAA1KuHQamf3T2+SMclZGhq29JOT/2wVOx5w3kAAAC4iWAqAAAAAMBPBrcQ/ZpKGtOfJPXUthwNQNO3NH34xFQHJaFaPp2XALShwyuapwwASKi6jYsk2dS3p4drDty41F+5MStf8njq2ZcL5jifyKACAADjCaYCAAAAAHwrXyr18q/JpvJe2n6gojogL8UkTKgWdYDwnlM0UKDjfr1Y7aKrqEaHqdQzlzCAwt2/PscW8Hr/L8k64QfynVS7FpVuWVRadpkMTe1E8j3PL1UaInVKAQCA5gmmAgAAAAB8bZrOIS1KXCRsMCq56Sdht9Z5hZIPtkNOaACMd9yvo0sAAHrUeSp1MsalXskbQ+ry/otfaY40CSdAAADo5aAf/AAAIABJREFUimAqAAAAAMAXxjRITdYwpDmpGZ1EUj+4e3zpuUmLLxV1Tqs3ZDvBPOFM6zsnAIWo9xKQhKcMAIAkvJGwW72FVCvakQYAANISTAUAAAAASGlAD/eYFiVd4w3oeRxHjTWTT2lns5H9owPOz9LaWekGBq7kdDHzlAGM9nr/L7qEdty/PkeXACn1Ni51+r0FSvNh/7OBnR87ugAAwIVgKgAAAADAR4O7hQb3CcmmdqvnVCrtkeQpxwRDUwEAAFpii2YC9g0GsPfbmO9OEaUFVp3KAACAawimAgAAAAD8P1ENUrKpAKUxNBVozHG/Xqx20VUUrbERXsZzAQAtqfTmZOTeAp0YFgT9YRNJshQAAJiAYCoAAAAAwP+MaRKqtDWKQGZx0JLGkjwNMDSVhOTTmNJxv4766PauZdO/YQEA4DvCmYO5K+M7dn4AAIBYgqkAAAAAAP8JT6UamgrQmNihqbKpAAAATUr12JhDpufQqnc+DU2F0rT3WiIAAAghmAoAAAAAMJsVkEq9LCWbClSn4V6ukOZR2VSA6bV6LTM0FQhx//ocW8Dr/b8k64QfCDRDLHMkd2WQSpLT0XkR30oAABBMBQAAAAAoi2wqZepwFgckEX5mlk0F+FWrqdQkwi9kAAAN3I0YmgolSPs19KwEAAB/ogsAAAAAAIhXyLjUJHQ4ARNr/rQTcp5PGyUtOVgOQG6lPbAAAL1pft9gGn6NMMZ8u8zxJcq0LAAA1MLEVAAAAACgdwWmUr1BH+iHtMx37h5fEgZKzU0Fzo779WK1i66iLD2MSx35fGEQEAA9SPsIxntuJM6a/D3cvz5Hl5DL6/2/6BIaEf6XZIL/1HL+iCa/4wAA8DMTUwEAAACArhWYSh2/uFArQFojT/iDT8vJ56ZqswYKd9yvJ/5Ed85X8osCgCt57AIox5QPMqanAgDQIRNTAQAAAIB+Fd4lMGaukaFGVUg1i2OaQYg5PkKzZgN6mDIXK/nQnvNqpqcCJFHRhWzk0FQAoCh2aQB+Nvjx5/KUN2wF/2kGAICumJgKAAAAADBE+b0F+s6rkKqPUO8gFG7MOfnu8SV5z/F5emo5p46iigH64fUKN/F8AUDz7NIANGDw5NLT5vD+Ke/D/5ygAAAAqI6JqQAAAABAp0Z2BlTRWODl3FWoa24qvFfFmTCV8EFzyUennl3WDDmBaNcGAnV1FTsbfy3zfAFA8+zSANRrzPPOd086gx+jzj/lAQoAgLYJpgIAAABAR+5fn6NLKEU/beh6x6uQsOtxFpQugwF6OzuNPyGfv92Zwpzvl813GpFEhRIc9+vFahddRfUqvYqFv2cBAPohmwowpcFPOr8+3J3/BfFUAAD4TDAVAAAAAOiOVmwKlDBvJp7KNDo8lxYS5sk0OvW9H9b/+dxSQu7U2Q/qddyvJ/usEs7nlfLiGwCal/CZyxbNZEp4Gv2gqz/3HGMqw4W/5fP1/t/4RcKPYhr5Iqmf/+XB8dRi/6oDAMAYgqkAAAAAQF867EHX9FCR5PHUWWdtcFSkz/NSqhNy1tGpPyuw2ffC6Q6YTNVXsfHvWfB8AUDz0j5zGZ2aSskPpJ8NfuVTXcZvtru3ZIzpQ9GDn6eMTgUAoEmCqQAAAAAA7RvT35Pk1ezMbnk/ffL2x8+Ll6CubkI+6DDkX6DL19m3qZwzG1CFkVcxncQA0Inko1NnHl5u0fCjbrGbdTdJuDUksMcAgXN6R45OHV8AAACUQzAVAAAAAOhIz0kq756vTqbI2ZerZW2Aa7iPkMHqPR2NnzKXQ+AA1XCV9u8CgQo8jU/P0FQAuFLyp63zUh5kvtPng211OdVMd9QCe1wvMJX6fp3BZXieAgCgGYKpAAAAAEAv9KBrd6jU+3a0TP159bb9ld+rBx/kOxX3M0A15IvvAkpjjvv1YrWLriKGr/OZ3wMAXC9TPPX94rHCnyIzFTDZ7zbTS+VK+LvxWe499v9j707jqyjv//+fQJBs7AHCKqKyBVrKJmJAQAVRlvAFW8QdxFqsYrVgFUHACtSKoIItCFixVMUFFZAqKAhKkaKARMCwE4wk7CEJIdv53Tj/nsf85yQnZ7mumWvmej1vnZPMmZnrymTOvK+ZzwzlqQhOhZJU0wx5dCoAAAB0RmEqAAAAAAAA4Fo2Xmue+eYDdi26MlSlRqz93i32rsDe9r2EzMf2hghhQZGq4tS8Jk83mu9R1XxoqpFbK1T59wfcTcEEAQAAYCS8PNUncIZSs49SOVH4ytgVG03LFdUu1Z6va+VgCDV7CKRUSWrgzClPBQAAgJ4oTAUAAAAAAACcTc0nHQVfK+svOo/yohnVLguIpjk8NNVNKrwuTanrC6OkzoV3EIu9kGW7YkmXxlqGnQAAAAAA1VhwJ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width="600" alt />
+<p class="caption">Figure 15: test.fastq2_LAGGING_16</p>
+</div>
+</center>
+<p><br /><br /></p>
+</center>
+<div class="figure">
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width="600" alt />
+<p class="caption">Figure 16: test.fastq2 global logo</p>
+</div>
+</center>
+<p><br /><br /></p>
</div>
<div id="backup" class="section level3">
<h3>Backup</h3>
-<p>See the reports folder for all the details of the analysis, including the parameters used in the .config file <br /><br />Full .nextflow.log is in: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />The one in the result folder is not complete (miss the end) <br /><br /></p>
+<p>See the <a href="./reports">reports</a> folder for all the details of the analysis, including the parameters used in the .config file</p>
+<p><br /><br /></p>
+<p>Full .nextflow.log is in: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />The one in the <a href="./reports">reports</a> folder is not complete (miss the end)</p>
+<p><br /><br /></p>
</div>
<div id="workflow-version" class="section level3">
<h3>Workflow Version</h3>
-<p>Project (empty means no .git folder where the main.nf file is present): loot <a href="https://gitlab.pasteur.fr/gmillot/14985_loot" class="uri">https://gitlab.pasteur.fr/gmillot/14985_loot</a> (fetch) <br />Git info (empty means no .git folder where the main.nf file is present): v6.1.0-1-g2cb29cbe9c-dirty <br />Cmd line: nextflow run main.nf -c dev/test.config <br />execution mode: local <br />Manifest’s pipeline version: null <br />result path: /mnt/c/Users/Gael/Desktop/20211201_res_CL14985_test_1641660055 <br />nextflow version: 21.04.2 <br /><br /></p>
+<p>Project (empty means no .git folder where the main.nf file is present): loot <a href="https://gitlab.pasteur.fr/gmillot/14985_loot" class="uri">https://gitlab.pasteur.fr/gmillot/14985_loot</a> (fetch) <br />Git info (empty means no .git folder where the main.nf file is present): v7.3.0-1-g85eea35b6c-dirty <br />Cmd line: nextflow run main.nf -resume <br />execution mode: local <br />Manifest’s pipeline version: null <br />result path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/results/20220120_res_CL14985_B4985_4_1643502720 <br />nextflow version: 21.04.2</p>
+<p><br /><br /></p>
<p>IMPLICIT VARIABLES:</p>
-<p>launchDir (directory where the workflow is run): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br /> projectDir (directory where the main.nf script is located): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br /> workDir (directory where tasks temporary files are created): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/work <br /><br /></p>
+<p>launchDir (directory where the workflow is run): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br /> projectDir (directory where the main.nf script is located): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br /> workDir (directory where tasks temporary files are created): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/work</p>
+<p><br /><br /></p>
<p>USER VARIABLES:<br /></p>
-<p>out_path: /mnt/c/Users/Gael/Desktop/20211201_res_CL14985_test_1641660055<br /> in_path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/dataset</p>
+<p>out_path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/results/20220120_res_CL14985_B4985_4_1643502720<br /> in_path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/dataset</p>
+<p><br /><br /></p>
+<p>WORKFLOW DIAGRAM:<br /></p>
+<p>See the <a href="./reports/nf_dag.png">nf_dag.png</a> file</p>
</div>
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/bowtie2_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/base_freq_report.txt
similarity index 100%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/bowtie2_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/base_freq_report.txt
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/bowtie2_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/bowtie2_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1993f47feefdc2ffb18c876f1b1ccc90934a0cf3
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/bowtie2_report.txt
@@ -0,0 +1,218 @@
+
+
+<br /><br />
+
+### Bowtie2 indexing of the reference sequence
+
+
+Settings:
+ Output files: "Ecoli-K12-MG1655_ORI_CENTERED.*.bt2"
+ Line rate: 6 (line is 64 bytes)
+ Lines per side: 1 (side is 64 bytes)
+ Offset rate: 4 (one in 16)
+ FTable chars: 10
+ Strings: unpacked
+ Max bucket size: default
+ Max bucket size, sqrt multiplier: default
+ Max bucket size, len divisor: 4
+ Difference-cover sample period: 1024
+ Endianness: little
+ Actual local endianness: little
+ Sanity checking: disabled
+ Assertions: disabled
+ Random seed: 0
+ Sizeofs: void*:8, int:4, long:8, size_t:8
+Input files DNA, FASTA:
+ Ecoli-K12-MG1655_ORI_CENTERED.fasta
+Building a SMALL index
+Reading reference sizes
+ Time reading reference sizes: 00:00:00
+Calculating joined length
+Writing header
+Reserving space for joined string
+Joining reference sequences
+ Time to join reference sequences: 00:00:00
+bmax according to bmaxDivN setting: 1160413
+Using parameters --bmax 870310 --dcv 1024
+ Doing ahead-of-time memory usage test
+ Passed! Constructing with these parameters: --bmax 870310 --dcv 1024
+Constructing suffix-array element generator
+Building DifferenceCoverSample
+ Building sPrime
+ Building sPrimeOrder
+ V-Sorting samples
+ V-Sorting samples time: 00:00:00
+ Allocating rank array
+ Ranking v-sort output
+ Ranking v-sort output time: 00:00:00
+ Invoking Larsson-Sadakane on ranks
+ Invoking Larsson-Sadakane on ranks time: 00:00:00
+ Sanity-checking and returning
+Building samples
+Reserving space for 12 sample suffixes
+Generating random suffixes
+QSorting 12 sample offsets, eliminating duplicates
+QSorting sample offsets, eliminating duplicates time: 00:00:00
+Multikey QSorting 12 samples
+ (Using difference cover)
+ Multikey QSorting samples time: 00:00:00
+Calculating bucket sizes
+Splitting and merging
+ Splitting and merging time: 00:00:00
+Avg bucket size: 4.64165e+06 (target: 870309)
+Converting suffix-array elements to index image
+Allocating ftab, absorbFtab
+Entering Ebwt loop
+Getting block 1 of 1
+ No samples; assembling all-inclusive block
+ Sorting block of length 4641652 for bucket 1
+ (Using difference cover)
+ Sorting block time: 00:00:01
+Returning block of 4641653 for bucket 1
+Exited Ebwt loop
+fchr[A]: 0
+fchr[C]: 1142742
+fchr[G]: 2322833
+fchr[T]: 3500270
+fchr[$]: 4641652
+Exiting Ebwt::buildToDisk()
+Returning from initFromVector
+Wrote 5741800 bytes to primary EBWT file: Ecoli-K12-MG1655_ORI_CENTERED.1.bt2
+Wrote 1160420 bytes to secondary EBWT file: Ecoli-K12-MG1655_ORI_CENTERED.2.bt2
+Re-opening _in1 and _in2 as input streams
+Returning from Ebwt constructor
+Headers:
+ len: 4641652
+ bwtLen: 4641653
+ sz: 1160413
+ bwtSz: 1160414
+ lineRate: 6
+ offRate: 4
+ offMask: 0xfffffff0
+ ftabChars: 10
+ eftabLen: 20
+ eftabSz: 80
+ ftabLen: 1048577
+ ftabSz: 4194308
+ offsLen: 290104
+ offsSz: 1160416
+ lineSz: 64
+ sideSz: 64
+ sideBwtSz: 48
+ sideBwtLen: 192
+ numSides: 24176
+ numLines: 24176
+ ebwtTotLen: 1547264
+ ebwtTotSz: 1547264
+ color: 0
+ reverse: 0
+Total time for call to driver() for forward index: 00:00:01
+Reading reference sizes
+ Time reading reference sizes: 00:00:00
+Calculating joined length
+Writing header
+Reserving space for joined string
+Joining reference sequences
+ Time to join reference sequences: 00:00:00
+ Time to reverse reference sequence: 00:00:00
+bmax according to bmaxDivN setting: 1160413
+Using parameters --bmax 870310 --dcv 1024
+ Doing ahead-of-time memory usage test
+ Passed! Constructing with these parameters: --bmax 870310 --dcv 1024
+Constructing suffix-array element generator
+Building DifferenceCoverSample
+ Building sPrime
+ Building sPrimeOrder
+ V-Sorting samples
+ V-Sorting samples time: 00:00:00
+ Allocating rank array
+ Ranking v-sort output
+ Ranking v-sort output time: 00:00:00
+ Invoking Larsson-Sadakane on ranks
+ Invoking Larsson-Sadakane on ranks time: 00:00:00
+ Sanity-checking and returning
+Building samples
+Reserving space for 12 sample suffixes
+Generating random suffixes
+QSorting 12 sample offsets, eliminating duplicates
+QSorting sample offsets, eliminating duplicates time: 00:00:00
+Multikey QSorting 12 samples
+ (Using difference cover)
+ Multikey QSorting samples time: 00:00:00
+Calculating bucket sizes
+Splitting and merging
+ Splitting and merging time: 00:00:00
+Avg bucket size: 4.64165e+06 (target: 870309)
+Converting suffix-array elements to index image
+Allocating ftab, absorbFtab
+Entering Ebwt loop
+Getting block 1 of 1
+ No samples; assembling all-inclusive block
+ Sorting block of length 4641652 for bucket 1
+ (Using difference cover)
+ Sorting block time: 00:00:00
+Returning block of 4641653 for bucket 1
+Exited Ebwt loop
+fchr[A]: 0
+fchr[C]: 1142742
+fchr[G]: 2322833
+fchr[T]: 3500270
+fchr[$]: 4641652
+Exiting Ebwt::buildToDisk()
+Returning from initFromVector
+Wrote 5741800 bytes to primary EBWT file: Ecoli-K12-MG1655_ORI_CENTERED.rev.1.bt2
+Wrote 1160420 bytes to secondary EBWT file: Ecoli-K12-MG1655_ORI_CENTERED.rev.2.bt2
+Re-opening _in1 and _in2 as input streams
+Returning from Ebwt constructor
+Headers:
+ len: 4641652
+ bwtLen: 4641653
+ sz: 1160413
+ bwtSz: 1160414
+ lineRate: 6
+ offRate: 4
+ offMask: 0xfffffff0
+ ftabChars: 10
+ eftabLen: 20
+ eftabSz: 80
+ ftabLen: 1048577
+ ftabSz: 4194308
+ offsLen: 290104
+ offsSz: 1160416
+ lineSz: 64
+ sideSz: 64
+ sideBwtSz: 48
+ sideBwtLen: 192
+ numSides: 24176
+ numLines: 24176
+ ebwtTotLen: 1547264
+ ebwtTotSz: 1547264
+ color: 0
+ reverse: 1
+Total time for backward call to driver() for mirror index: 00:00:01
+
+
+<br /><br />
+
+### Bowtie2 alignment
+
+
+Time loading reference: 00:00:00
+Time loading forward index: 00:00:00
+Time loading mirror index: 00:00:00
+Multiseed full-index search: 00:00:00
+3742 reads; of these:
+ 3742 (100.00%) were unpaired; of these:
+ 1240 (33.14%) aligned 0 times
+ 2308 (61.68%) aligned exactly 1 time
+ 194 (5.18%) aligned >1 times
+66.86% overall alignment rate
+Time searching: 00:00:00
+Overall time: 00:00:00
+
+
+<br /><br />
+
+#### samtools conversion
+
+
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/q20_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/cov_report.txt
similarity index 100%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/q20_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/cov_report.txt
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/dup_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/dup_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c0e9988ef87392df9f4eb79a838acdbeb33cdca7
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/dup_report.txt
@@ -0,0 +1,1770 @@
+
+
+################ Check that no BX:Z: TAG already exists
+
+
+
+
+NO BX:Z: TAG PRESENT
+
+
+
+
+################ Creates THE BX:Z: TAG which is FLAG_POS_(POS + length(SEQ) - 1)
+
+
+
+
+################ Sort according to BX:Z: TAG
+
+
+
+
+################ Check the sorting
+
+
+@HD VN:1.0 SO:unknown
+@SQ SN:NC_000913.3 LN:4641652
+@PG ID:bowtie2 PN:bowtie2 VN:2.3.4.3 CL:"/usr/local/bin/bowtie2-align-s --wrapper basic-0 --very-sensitive -x Ecoli-K12-MG1655_ORI_CENTERED -t -S test.fastq2_bowtie2.sam -U test.fastq2_cutoff.fq"
+@PG ID:samtools PN:samtools PP:bowtie2 VN:1.14 CL:samtools view -bh -o tempo.bam test.fastq2_bowtie2.sam
+@PG ID:samtools.1 PN:samtools PP:samtools VN:1.14 CL:samtools sort -o test.fastq2_bowtie2.bam tempo.bam
+@PG ID:samtools.2 PN:samtools PP:samtools.1 VN:1.14 CL:samtools view -q 20 -b test.fastq2_bowtie2.bam
+@PG ID:samtools.3 PN:samtools PP:samtools.2 VN:1.14 CL:samtools view -h test.fastq2_q20.bam
+@PG ID:samtools.4 PN:samtools PP:samtools.3 VN:1.14 CL:samtools sort -t BX:Z: -o test.fastq2_q20_tag_sorted.bam test.fastq2_q20_tag.sam
+@PG ID:samtools.5 PN:samtools PP:samtools.4 VN:1.14 CL:samtools view -h test.fastq2_q20_tag_sorted.bam
+M05218:178:000000000-CW57J:1:2119:13433:15669 0 NC_000913.3 6278 42 127M * 0 0 ATATCAAGCAGCATGACAGTCAGATGTTGTGTCTGTTTCAGCGATGGACTTTTCAGCGCCTCATAAAGACCGGACCGTGAGTAAACCTGAGTCAGAAAATCAAAGTCGGCCGGCAGCGCAACTTGCT :F,CFCGGGGG?E9F?CF=5C5C9,,CBE,BFC<EFBA,,A,C+,4B<FGGGFB5,B:>::FC,,5,,?>FFFE7+>F@FGF9,D<F,F<7@,@=@<,D=DC>9C@9C@:**5><:@*=:ECFGGF9 AS:i:-4 XN:i:0 XM:i:2 XO:i:0 XG:i:0 NM:i:2 MD:Z:110T0C15 YT:Z:UU BX:Z:0000_0006278_0006404
+M05218:178:000000000-CW57J:1:2119:26042:15724 0 NC_000913.3 47626 42 49M * 0 0 ATAAGCGAGTTTGCCCCAACCATGCCCCATAACGAAGCAATGAAAAATT ,E,BEC@7C+B,,C<9DEGGFGGFDFGDCFGFG7B+4+9,C,CBFFFFE AS:i:-3 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:0T48 YT:Z:UU BX:Z:0000_0047626_0047674
+M05218:178:000000000-CW57J:1:2119:28614:15675 0 NC_000913.3 50670 42 36M * 0 0 TTATAGGGCGACATAATATCATCAATATAAACACCC FFFFGGFF8=>:CEGGGCFFEFFGGGGFGGGFGFFC AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:36 YT:Z:UU BX:Z:0000_0050670_0050705
+M05218:178:000000000-CW57J:1:2119:5520:15639 0 NC_000913.3 56949 42 127M * 0 0 ATCAATCAACATGGCGACATCAATCACACCCATGAGGTGCTTCAGGATGACAGCAAGTGCGAGATGATTGTTGGCATTGACCACTTCATGACGGCCTCGGCTAAGTATTGCGATATCCTGTTGCCCG GGGGCFGGGGGGGGGGGEGGGGGGGGGGGCEGGG9FGGGGGGFEGGGGGGGGGGGGGGFGGFEGFGGGFGGGGGGGGFGGGGGGGFGGGGGGGGGGGGGGGGGGGGDGGGGGEFGGGGGGGGCCFG: AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:127 YT:Z:UU BX:Z:0000_0056949_0057075
+M05218:178:000000000-CW57J:1:2119:7529:15560 0 NC_000913.3 79908 42 65M * 0 0 TTAAAAATCAAACGTCCGGTGAAGGTGCAGCCGATTGCCCGCGTCTGGTACAAAGGAGATCAAAA FGGGGGGGGGGGGGFGGGGGGGGGFGGGGGGGGG>CFFGGGGGGGGGGGGGGGGGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:65 YT:Z:UU BX:Z:0000_0079908_0079972
+M05218:178:000000000-CW57J:1:2119:15438:15704 0 NC_000913.3 79908 42 74M * 0 0 TTAAAAATCAAACGTCCGGTGAAGGTGCAGCCGATTGCCCGCGTCTGGTACAAAGGAGATCAAAAACAAGTCCA FGGGGGGGGGGGGGFGGGGGGGGGGGGGGGGGGGGGGGFGGGGGGGFGGGGGGGGGGGGGGGGGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:74 YT:Z:UU BX:Z:0000_0079908_0079981
+M05218:178:000000000-CW57J:1:2119:6441:15544 0 NC_000913.3 82936 42 126M * 0 0 TTATAGACACCGCGCGCCAGCGCCGCTTCATCACCACCACCGGTCCATACACGCTGCCCTTTTTTACCAACAATAATCGCGGTGCCGGTATCCTGACAGGTTGGCAGAACCCCTTTCGCCGCGATG FG,CEE<EAC77@CGCGC:F<F7FEC+BC<FGFGFGGGGF@CFG7FCFGGCF+@CEGGGCFA<F@FGFG<FFG9FGG9CFCGGGE,=CFCFFCFGF7<FEFCCGCGEFAGGGGFE<CFGEGGG5?E AS:i:-5 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:110G15 YT:Z:UU BX:Z:0000_0082936_0083061
+M05218:178:000000000-CW57J:1:2119:12201:15635 0 NC_000913.3 131096 42 65M * 0 0 TTAGCAACGCAAACTGTTTCAGGTTGTTTTCTGGCTGACATAAACACCAGCAATAATGCCAGTCC GGGG<F,E7=:CFGGCEGGGCGGEEEGGFFCFGGGFGEF@FDFGFFFGCFC,4F9FFFCGFAFDF AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:65 YT:Z:UU BX:Z:0000_0131096_0131160
+M05218:178:000000000-CW57J:1:2119:26984:15544 0 NC_000913.3 134422 42 127M * 0 0 ATAAAAATCAACGATCATCTGCCGTGTACGTTCTGGCCTGACAATATTATCCACTGCGATAGCTAACTGACCGCGCCAGCCGTTCGCTATCTGCTGACATTGCTGGCGGGTGATCTGCATTTTTTTG B=FGCDGFCEFGFFGGEEFFGGGGGEFGFFGEGGGGGGGGFEFFGGGGGGAFGGGGGGGGGGGEGGGFGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG:FFFGGFGGCEGGGGG7 AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:127 YT:Z:UU BX:Z:0000_0134422_0134548
+M05218:178:000000000-CW57J:1:2119:9936:15803 0 NC_000913.3 147342 42 64M * 0 0 TTAACAATGGAACCGACCTGCGCTGACGCTTCATTGGCATGGTGAACCGGATAGCCAAACGGCG BBFGGGGGGGGGGGGFGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:64 YT:Z:UU BX:Z:0000_0147342_0147405
+M05218:178:000000000-CW57J:1:2119:28632:15737 0 NC_000913.3 161462 42 126M * 0 0 TTAAAGGTTTTCGGCGCGCGTGCCATCAGCGGCGCGTAGCTCTCGACCGTAGCGACGGGGTGGGCGCGCAGCGGGCGTAAATAACGGGTGTGTTGGGGCTGCAGAAAACGAGAGCAAAACTCCGGC BFFFAEG<FAE,>FEGGCFGGGGG,BE,C@CC::=@3@:F,@FGCF7<+>CDF7*@:::***=***=FFECFGE<E8*:E5@+C+1?*2/:A*0*;**2:88:F9FGCFGDE58A+;38C:CF58C AS:i:-15 XN:i:0 XM:i:6 XO:i:0 XG:i:0 NM:i:6 MD:Z:57A5T28A1A1A18G10 YT:Z:UU BX:Z:0000_0161462_0161587
+M05218:178:000000000-CW57J:1:2119:9598:15801 0 NC_000913.3 162752 42 127M * 0 0 TTACGCAGCGCAGAGTCAAAAGAGTCATATTTGACGTGCACCAGACGGCGCACTTTAGGCAAGCGTGTAATAACCAGCCGCGCTTCGGTAATAAAGGCCAGCGTCCCTTCTGAACCCGTCAGAATGC FG,?=CGGGC+@F7BFF<FFED<<,,,,,<5CEFEF=44DF=F<,++++8+8++,,38FGG87<C+>F<FGF,3>F7C<*C7:**8:FG7FG9;3<,=,4<<C:F*4<<,,<F<<**<FG:F@FCBC AS:i:-6 XN:i:0 XM:i:2 XO:i:0 XG:i:0 NM:i:2 MD:Z:37T34T54 YT:Z:UU BX:Z:0000_0162752_0162878
+M05218:178:000000000-CW57J:1:2119:14637:15624 0 NC_000913.3 163010 42 123M * 0 0 TTATAAATTCGCCCGATTGTGGTATTGGATTTACCCAGCGTTTCCGCCAATTCGACGGGTAAAGGTTGCGTATCGAGAATATCGCCCCCCAACAACACCGCGCGTACGCCAAGTACGTGATCT BFCFGGGGGEFDC,C+4=FFFEAFGGAF=FFFGCFG9FFG?FFGGCFGGGFFEDEE=FEGGGGGGGFFFCFC@BCDEFGEFAFGGGEEG7FGCGFGFGGGGCFGGGGGFECG7FFFGCCBFFG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:123 YT:Z:UU BX:Z:0000_0163010_0163132
+M05218:178:000000000-CW57J:1:2119:9466:15782 0 NC_000913.3 185931 40 121M * 0 0 TTGTTCGCCGAGTAAAATGCGGCGCCGATCACCCAGTTGGCCCTCCCGGACGCCGAACAGATGACCACTGTAAACCTGCGCCAGTGGTGACATCCCAGGCAGTGGGGCTTCGCCGCCCCAG GG+FCG7+FF+=F<5<F9F,+@+FF:++4@+B3,+3855B=:3+3+B+3+8+++@5C**,,8?F<,@<33<D,,<FGG,*=<*17F,74,?,<,2227::<*+,5**1<<:FFC*:8*:;5 AS:i:-20 XN:i:0 XM:i:7 XO:i:0 XG:i:0 NM:i:7 MD:Z:20C5C16G3A10T34A9A17 YT:Z:UU BX:Z:0000_0185931_0186051
+M05218:178:000000000-CW57J:1:2119:27391:15728 0 NC_000913.3 197823 42 89M * 0 0 GTGCGTCGGAAAGGTTTACTGCGAGCGGATTTACAGCAGCATAAACTGAATCCAGCAAAGTTCGTTGCGTGATTTGGCGGTAGTATTTT :866@8+44@B+44,9,,5C<,++84>@C:+=,,@,,A,B,DD<FC<?FF<B<FC8=DGFF=DCFFG:>+C>,,@BFCFDF:@FCFAA; AS:i:-3 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:7T81 YT:Z:UU BX:Z:0000_0197823_0197911
+M05218:178:000000000-CW57J:1:2119:6558:15662 0 NC_000913.3 200492 42 126M * 0 0 TTGTCAGTCAACTGCCATGCATAAGCCCCGGAGGCATAGCCCAGCGGCTGGGTTTCACGGGCATTGTCGGTATATTTGTCGTAACGCACACCTGGACCGAATTCAAAGCGGAAACTGTGTACCGGG ?FGE9,CCF9E<<4:,,<5CFC?5:F<44@++@:7FG,CD8B=<FG+:3>=FGCGCAF,+@3+8F,<CC:@7F=FGC@,,@D:FEG@C<F:FFF:3,51=:F:<FFG;:4***42,??,B,<CCF@ AS:i:-3 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:58T67 YT:Z:UU BX:Z:0000_0200492_0200617
+M05218:178:000000000-CW57J:1:2119:23767:15624 0 NC_000913.3 210465 42 110M * 0 0 TTGACCAGCTGGCGCATATTGATCTCACTCTGGCCTAGGCGGTGGCGAAAAGTCTCGGTATCGAACTGACTGACGACCAGCTGAATATCACCCCACCTCCGGACGTCAAC GGG,,,9E,5,C8=,@FEGGF9<F,<,?BECFF,B,:F<,@7FCCF:+@++,:,5?<B><+33B,,,3B3<,>,83@F7,33,8E;3@,;,@C>7FB<F>@*1CF<<:<< AS:i:-6 XN:i:0 XM:i:2 XO:i:0 XG:i:0 NM:i:2 MD:Z:35C15A58 YT:Z:UU BX:Z:0000_0210465_0210574
+M05218:178:000000000-CW57J:1:2119:10136:15660 0 NC_000913.3 222323 42 126M * 0 0 GTAGACACCGTATCAGACACGGAAACCTGAGTTGCCGGAACTTCTATCGCCATAAAACCATTGACCCGCGCACGCAGGTTTGCCAGTAACTGTGACTGGCGAGCGAACGCCTGTTGGTGGCAAAAC =F:CGG<FGEFCEE<EC<==F@:=CGFEF@EFAAG<@CFCFGGGGGGDGCFGGGFGGFEGGGGGFGFEEECGGGGGGGGCGGCFGGGGGGGGGFGGGGGGDEFGGDE:FGGGGFFG>BFEFF@FGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:126 YT:Z:UU BX:Z:0000_0222323_0222448
+M05218:178:000000000-CW57J:1:2119:13048:15628 0 NC_000913.3 251031 42 125M * 0 0 ATAGCCGCCGTTGCATTGGCAAAGCGTGCGCATTCACGCAGATTTTTGCCTTCTAACAGTGCCGCAATAAAACCTGAAGCAAAGTTATCGCCCGCGCCAATGGTGTCGATGGCGGTTATTCCTGC FGGGGGGGCFCFGGGGGGGFDDGGGGGGGGGGGGGGGGGEGGFGGGGFDEGGGGFDFGFGFGGGGEGGFGFC@FGGGGGGGGGGGGFGGGGGGEGDGGGGGGGGGGGGGGGGGCGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:125 YT:Z:UU BX:Z:0000_0251031_0251155
+M05218:178:000000000-CW57J:1:2119:25573:15740 0 NC_000913.3 258803 42 55M * 0 0 TTAAAGGACTGCGTCATGATTAAGAAAATTTTTGCCCTTCCGGTCATCGAACAAA GGGFGGGFGGGGGCFGFCAGGGG9ECFGGGGGGGGGGGGFFGGEFCFG8F8FFGE AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:55 YT:Z:UU BX:Z:0000_0258803_0258857
+M05218:178:000000000-CW57J:1:2119:25239:15542 0 NC_000913.3 279619 42 120M * 0 0 ATAAAGGTATCCCTATGAGCAATCTGAGCCCTGATTTTGTACTACCCGAAAATTTTTGCGCTAACCCGCTAGAGGCGTGGACCATTCCTGCCCGTTTTTATCCCGATCAGAACGCGTTTG :EFGGE,CC,55CCFF9<CCC=,,EEF9,49BF4,,C5595,,,5:,4+4+6A,,<5@FE74+3F,BCG+6===A>FGGGDG<8BC,77=F>:<FGF@:<=,,,C7*5>FF;:<<<EGGC AS:i:-9 XN:i:0 XM:i:3 XO:i:0 XG:i:0 NM:i:3 MD:Z:34C34A31A18 YT:Z:UU BX:Z:0000_0279619_0279738
+
+
+################ Remove duplicates
+
+
+
+
+################ Check the removal
+
+
+@HD VN:1.0 SO:unknown
+@SQ SN:NC_000913.3 LN:4641652
+@PG ID:bowtie2 PN:bowtie2 VN:2.3.4.3 CL:"/usr/local/bin/bowtie2-align-s --wrapper basic-0 --very-sensitive -x Ecoli-K12-MG1655_ORI_CENTERED -t -S test.fastq2_bowtie2.sam -U test.fastq2_cutoff.fq"
+@PG ID:samtools PN:samtools PP:bowtie2 VN:1.14 CL:samtools view -bh -o tempo.bam test.fastq2_bowtie2.sam
+@PG ID:samtools.1 PN:samtools PP:samtools VN:1.14 CL:samtools sort -o test.fastq2_bowtie2.bam tempo.bam
+@PG ID:samtools.2 PN:samtools PP:samtools.1 VN:1.14 CL:samtools view -q 20 -b test.fastq2_bowtie2.bam
+@PG ID:samtools.3 PN:samtools PP:samtools.2 VN:1.14 CL:samtools view -h test.fastq2_q20.bam
+@PG ID:samtools.4 PN:samtools PP:samtools.3 VN:1.14 CL:samtools sort -t BX:Z: -o test.fastq2_q20_tag_sorted.bam test.fastq2_q20_tag.sam
+@PG ID:samtools.5 PN:samtools PP:samtools.4 VN:1.14 CL:samtools view -h test.fastq2_q20_tag_sorted.bam
+M05218:178:000000000-CW57J:1:2119:13433:15669 0 NC_000913.3 6278 42 127M * 0 0 ATATCAAGCAGCATGACAGTCAGATGTTGTGTCTGTTTCAGCGATGGACTTTTCAGCGCCTCATAAAGACCGGACCGTGAGTAAACCTGAGTCAGAAAATCAAAGTCGGCCGGCAGCGCAACTTGCT :F,CFCGGGGG?E9F?CF=5C5C9,,CBE,BFC<EFBA,,A,C+,4B<FGGGFB5,B:>::FC,,5,,?>FFFE7+>F@FGF9,D<F,F<7@,@=@<,D=DC>9C@9C@:**5><:@*=:ECFGGF9 AS:i:-4 XN:i:0 XM:i:2 XO:i:0 XG:i:0 NM:i:2 MD:Z:110T0C15 YT:Z:UU BX:Z:0000_0006278_0006404
+M05218:178:000000000-CW57J:1:2119:26042:15724 0 NC_000913.3 47626 42 49M * 0 0 ATAAGCGAGTTTGCCCCAACCATGCCCCATAACGAAGCAATGAAAAATT ,E,BEC@7C+B,,C<9DEGGFGGFDFGDCFGFG7B+4+9,C,CBFFFFE AS:i:-3 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:0T48 YT:Z:UU BX:Z:0000_0047626_0047674
+M05218:178:000000000-CW57J:1:2119:28614:15675 0 NC_000913.3 50670 42 36M * 0 0 TTATAGGGCGACATAATATCATCAATATAAACACCC FFFFGGFF8=>:CEGGGCFFEFFGGGGFGGGFGFFC AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:36 YT:Z:UU BX:Z:0000_0050670_0050705
+M05218:178:000000000-CW57J:1:2119:5520:15639 0 NC_000913.3 56949 42 127M * 0 0 ATCAATCAACATGGCGACATCAATCACACCCATGAGGTGCTTCAGGATGACAGCAAGTGCGAGATGATTGTTGGCATTGACCACTTCATGACGGCCTCGGCTAAGTATTGCGATATCCTGTTGCCCG GGGGCFGGGGGGGGGGGEGGGGGGGGGGGCEGGG9FGGGGGGFEGGGGGGGGGGGGGGFGGFEGFGGGFGGGGGGGGFGGGGGGGFGGGGGGGGGGGGGGGGGGGGDGGGGGEFGGGGGGGGCCFG: AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:127 YT:Z:UU BX:Z:0000_0056949_0057075
+M05218:178:000000000-CW57J:1:2119:7529:15560 0 NC_000913.3 79908 42 65M * 0 0 TTAAAAATCAAACGTCCGGTGAAGGTGCAGCCGATTGCCCGCGTCTGGTACAAAGGAGATCAAAA FGGGGGGGGGGGGGFGGGGGGGGGFGGGGGGGGG>CFFGGGGGGGGGGGGGGGGGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:65 YT:Z:UU BX:Z:0000_0079908_0079972
+M05218:178:000000000-CW57J:1:2119:15438:15704 0 NC_000913.3 79908 42 74M * 0 0 TTAAAAATCAAACGTCCGGTGAAGGTGCAGCCGATTGCCCGCGTCTGGTACAAAGGAGATCAAAAACAAGTCCA FGGGGGGGGGGGGGFGGGGGGGGGGGGGGGGGGGGGGGFGGGGGGGFGGGGGGGGGGGGGGGGGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:74 YT:Z:UU BX:Z:0000_0079908_0079981
+M05218:178:000000000-CW57J:1:2119:6441:15544 0 NC_000913.3 82936 42 126M * 0 0 TTATAGACACCGCGCGCCAGCGCCGCTTCATCACCACCACCGGTCCATACACGCTGCCCTTTTTTACCAACAATAATCGCGGTGCCGGTATCCTGACAGGTTGGCAGAACCCCTTTCGCCGCGATG FG,CEE<EAC77@CGCGC:F<F7FEC+BC<FGFGFGGGGF@CFG7FCFGGCF+@CEGGGCFA<F@FGFG<FFG9FGG9CFCGGGE,=CFCFFCFGF7<FEFCCGCGEFAGGGGFE<CFGEGGG5?E AS:i:-5 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:110G15 YT:Z:UU BX:Z:0000_0082936_0083061
+M05218:178:000000000-CW57J:1:2119:12201:15635 0 NC_000913.3 131096 42 65M * 0 0 TTAGCAACGCAAACTGTTTCAGGTTGTTTTCTGGCTGACATAAACACCAGCAATAATGCCAGTCC GGGG<F,E7=:CFGGCEGGGCGGEEEGGFFCFGGGFGEF@FDFGFFFGCFC,4F9FFFCGFAFDF AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:65 YT:Z:UU BX:Z:0000_0131096_0131160
+M05218:178:000000000-CW57J:1:2119:26984:15544 0 NC_000913.3 134422 42 127M * 0 0 ATAAAAATCAACGATCATCTGCCGTGTACGTTCTGGCCTGACAATATTATCCACTGCGATAGCTAACTGACCGCGCCAGCCGTTCGCTATCTGCTGACATTGCTGGCGGGTGATCTGCATTTTTTTG B=FGCDGFCEFGFFGGEEFFGGGGGEFGFFGEGGGGGGGGFEFFGGGGGGAFGGGGGGGGGGGEGGGFGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG:FFFGGFGGCEGGGGG7 AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:127 YT:Z:UU BX:Z:0000_0134422_0134548
+M05218:178:000000000-CW57J:1:2119:9936:15803 0 NC_000913.3 147342 42 64M * 0 0 TTAACAATGGAACCGACCTGCGCTGACGCTTCATTGGCATGGTGAACCGGATAGCCAAACGGCG BBFGGGGGGGGGGGGFGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:64 YT:Z:UU BX:Z:0000_0147342_0147405
+M05218:178:000000000-CW57J:1:2119:28632:15737 0 NC_000913.3 161462 42 126M * 0 0 TTAAAGGTTTTCGGCGCGCGTGCCATCAGCGGCGCGTAGCTCTCGACCGTAGCGACGGGGTGGGCGCGCAGCGGGCGTAAATAACGGGTGTGTTGGGGCTGCAGAAAACGAGAGCAAAACTCCGGC BFFFAEG<FAE,>FEGGCFGGGGG,BE,C@CC::=@3@:F,@FGCF7<+>CDF7*@:::***=***=FFECFGE<E8*:E5@+C+1?*2/:A*0*;**2:88:F9FGCFGDE58A+;38C:CF58C AS:i:-15 XN:i:0 XM:i:6 XO:i:0 XG:i:0 NM:i:6 MD:Z:57A5T28A1A1A18G10 YT:Z:UU BX:Z:0000_0161462_0161587
+M05218:178:000000000-CW57J:1:2119:9598:15801 0 NC_000913.3 162752 42 127M * 0 0 TTACGCAGCGCAGAGTCAAAAGAGTCATATTTGACGTGCACCAGACGGCGCACTTTAGGCAAGCGTGTAATAACCAGCCGCGCTTCGGTAATAAAGGCCAGCGTCCCTTCTGAACCCGTCAGAATGC FG,?=CGGGC+@F7BFF<FFED<<,,,,,<5CEFEF=44DF=F<,++++8+8++,,38FGG87<C+>F<FGF,3>F7C<*C7:**8:FG7FG9;3<,=,4<<C:F*4<<,,<F<<**<FG:F@FCBC AS:i:-6 XN:i:0 XM:i:2 XO:i:0 XG:i:0 NM:i:2 MD:Z:37T34T54 YT:Z:UU BX:Z:0000_0162752_0162878
+M05218:178:000000000-CW57J:1:2119:14637:15624 0 NC_000913.3 163010 42 123M * 0 0 TTATAAATTCGCCCGATTGTGGTATTGGATTTACCCAGCGTTTCCGCCAATTCGACGGGTAAAGGTTGCGTATCGAGAATATCGCCCCCCAACAACACCGCGCGTACGCCAAGTACGTGATCT BFCFGGGGGEFDC,C+4=FFFEAFGGAF=FFFGCFG9FFG?FFGGCFGGGFFEDEE=FEGGGGGGGFFFCFC@BCDEFGEFAFGGGEEG7FGCGFGFGGGGCFGGGGGFECG7FFFGCCBFFG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:123 YT:Z:UU BX:Z:0000_0163010_0163132
+M05218:178:000000000-CW57J:1:2119:9466:15782 0 NC_000913.3 185931 40 121M * 0 0 TTGTTCGCCGAGTAAAATGCGGCGCCGATCACCCAGTTGGCCCTCCCGGACGCCGAACAGATGACCACTGTAAACCTGCGCCAGTGGTGACATCCCAGGCAGTGGGGCTTCGCCGCCCCAG GG+FCG7+FF+=F<5<F9F,+@+FF:++4@+B3,+3855B=:3+3+B+3+8+++@5C**,,8?F<,@<33<D,,<FGG,*=<*17F,74,?,<,2227::<*+,5**1<<:FFC*:8*:;5 AS:i:-20 XN:i:0 XM:i:7 XO:i:0 XG:i:0 NM:i:7 MD:Z:20C5C16G3A10T34A9A17 YT:Z:UU BX:Z:0000_0185931_0186051
+M05218:178:000000000-CW57J:1:2119:27391:15728 0 NC_000913.3 197823 42 89M * 0 0 GTGCGTCGGAAAGGTTTACTGCGAGCGGATTTACAGCAGCATAAACTGAATCCAGCAAAGTTCGTTGCGTGATTTGGCGGTAGTATTTT :866@8+44@B+44,9,,5C<,++84>@C:+=,,@,,A,B,DD<FC<?FF<B<FC8=DGFF=DCFFG:>+C>,,@BFCFDF:@FCFAA; AS:i:-3 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:7T81 YT:Z:UU BX:Z:0000_0197823_0197911
+M05218:178:000000000-CW57J:1:2119:6558:15662 0 NC_000913.3 200492 42 126M * 0 0 TTGTCAGTCAACTGCCATGCATAAGCCCCGGAGGCATAGCCCAGCGGCTGGGTTTCACGGGCATTGTCGGTATATTTGTCGTAACGCACACCTGGACCGAATTCAAAGCGGAAACTGTGTACCGGG ?FGE9,CCF9E<<4:,,<5CFC?5:F<44@++@:7FG,CD8B=<FG+:3>=FGCGCAF,+@3+8F,<CC:@7F=FGC@,,@D:FEG@C<F:FFF:3,51=:F:<FFG;:4***42,??,B,<CCF@ AS:i:-3 XN:i:0 XM:i:1 XO:i:0 XG:i:0 NM:i:1 MD:Z:58T67 YT:Z:UU BX:Z:0000_0200492_0200617
+M05218:178:000000000-CW57J:1:2119:23767:15624 0 NC_000913.3 210465 42 110M * 0 0 TTGACCAGCTGGCGCATATTGATCTCACTCTGGCCTAGGCGGTGGCGAAAAGTCTCGGTATCGAACTGACTGACGACCAGCTGAATATCACCCCACCTCCGGACGTCAAC GGG,,,9E,5,C8=,@FEGGF9<F,<,?BECFF,B,:F<,@7FCCF:+@++,:,5?<B><+33B,,,3B3<,>,83@F7,33,8E;3@,;,@C>7FB<F>@*1CF<<:<< AS:i:-6 XN:i:0 XM:i:2 XO:i:0 XG:i:0 NM:i:2 MD:Z:35C15A58 YT:Z:UU BX:Z:0000_0210465_0210574
+M05218:178:000000000-CW57J:1:2119:10136:15660 0 NC_000913.3 222323 42 126M * 0 0 GTAGACACCGTATCAGACACGGAAACCTGAGTTGCCGGAACTTCTATCGCCATAAAACCATTGACCCGCGCACGCAGGTTTGCCAGTAACTGTGACTGGCGAGCGAACGCCTGTTGGTGGCAAAAC =F:CGG<FGEFCEE<EC<==F@:=CGFEF@EFAAG<@CFCFGGGGGGDGCFGGGFGGFEGGGGGFGFEEECGGGGGGGGCGGCFGGGGGGGGGFGGGGGGDEFGGDE:FGGGGFFG>BFEFF@FGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:126 YT:Z:UU BX:Z:0000_0222323_0222448
+M05218:178:000000000-CW57J:1:2119:13048:15628 0 NC_000913.3 251031 42 125M * 0 0 ATAGCCGCCGTTGCATTGGCAAAGCGTGCGCATTCACGCAGATTTTTGCCTTCTAACAGTGCCGCAATAAAACCTGAAGCAAAGTTATCGCCCGCGCCAATGGTGTCGATGGCGGTTATTCCTGC FGGGGGGGCFCFGGGGGGGFDDGGGGGGGGGGGGGGGGGEGGFGGGGFDEGGGGFDFGFGFGGGGEGGFGFC@FGGGGGGGGGGGGFGGGGGGEGDGGGGGGGGGGGGGGGGGCGGGGGGGGGGG AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:125 YT:Z:UU BX:Z:0000_0251031_0251155
+M05218:178:000000000-CW57J:1:2119:25573:15740 0 NC_000913.3 258803 42 55M * 0 0 TTAAAGGACTGCGTCATGATTAAGAAAATTTTTGCCCTTCCGGTCATCGAACAAA GGGFGGGFGGGGGCFGFCAGGGG9ECFGGGGGGGGGGGGFFGGEFCFG8F8FFGE AS:i:0 XN:i:0 XM:i:0 XO:i:0 XG:i:0 NM:i:0 MD:Z:55 YT:Z:UU BX:Z:0000_0258803_0258857
+M05218:178:000000000-CW57J:1:2119:25239:15542 0 NC_000913.3 279619 42 120M * 0 0 ATAAAGGTATCCCTATGAGCAATCTGAGCCCTGATTTTGTACTACCCGAAAATTTTTGCGCTAACCCGCTAGAGGCGTGGACCATTCCTGCCCGTTTTTATCCCGATCAGAACGCGTTTG :EFGGE,CC,55CCFF9<CCC=,,EEF9,49BF4,,C5595,,,5:,4+4+6A,,<5@FE74+3F,BCG+6===A>FGGGDG<8BC,77=F>:<FGF@:<=,,,C7*5>FF;:<<<EGGC AS:i:-9 XN:i:0 XM:i:3 XO:i:0 XG:i:0 NM:i:3 MD:Z:34C34A31A18 YT:Z:UU BX:Z:0000_0279619_0279738
+
+
+################ Convertion into bam and sorting and indexing
+
+
+
+
+################ Check that no duplicates remains in TAG BX
+
+
+Number of lines with unique TAG:
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+Total number of lines:
+1,660\n
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/extract_seq_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/extract_seq_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..247a1821b95757d05b03e6923361ccde7478a90c
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/extract_seq_report.txt
@@ -0,0 +1 @@
+index file tempo.ref.fasta.fai not found, generating...
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/global_logo_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/global_logo_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..015865268e5e97d43126549b18ad88fd42ee5ad6
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/global_logo_report.txt
@@ -0,0 +1,123 @@
+
+
+################################################################ global_logo PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:27:56
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:27:58
+
+
+
+
+TOTAL TIME LAPSE: 2S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script global_logo
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/global_logo.R,--args,test.fastq2_LEADING_0.stat test.fastq2_LAGGING_0.stat test.fastq2_LEADING_16.stat test.fastq2_LAGGING_16.stat,test.fastq2,20,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,global_logo_report.txt
+freq test.fastq2_LEADING_0.stat test.fastq2_LAGGING_0.stat test.fastq2_LEADING_16.stat test.fastq2_LAGGING_16.stat
+file_name test.fastq2
+insertion_dist 20
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log global_logo_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 ggseqlogo_0.1 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 digest_0.6.29 dplyr_1.0.7 ellipsis_0.3.2
+ [9] fansi_0.5.0 farver_2.1.0 generics_0.1.1 glue_1.6.0
+[13] grid_4.0.5 gtable_0.3.0 labeling_0.4.2 lifecycle_1.0.1
+[17] magrittr_2.0.1 munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3
+[21] purrr_0.3.4 R6_2.5.1 rlang_0.4.12 scales_1.1.1
+[25] tibble_3.1.6 tidyselect_1.1.1 utf8_1.2.2 vctrs_0.3.8
+[29] withr_2.4.3
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:27:58
+
+TOTAL TIME LAPSE: 2S
+
+
+
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/insertion_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/insertion_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ed1e872fbabd11a237f19af685cd9503f893ba72
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/insertion_report.txt
@@ -0,0 +1,76 @@
+
+
+Extraction of the FLAG (containing the read orientation) the POS and the SEQ of the bams
+Header is the 1) sens of insersion (0 or 16) and 2) insertion site position
+
+
+>0 197823
+GTGCGTCGGAAAGGTTTACTGCGAGCGGATTTACAGCAGCATAAACTGAATCCAGCAAAGTTCGTTGCGTGATTTGGCGGTAGTATTTT
+>0 200492
+TTGTCAGTCAACTGCCATGCATAAGCCCCGGAGGCATAGCCCAGCGGCTGGGTTTCACGGGCATTGTCGGTATATTTGTCGTAACGCACACCTGGACCGAATTCAAAGCGGAAACTGTGTACCGGG
+>0 210465
+TTGACCAGCTGGCGCATATTGATCTCACTCTGGCCTAGGCGGTGGCGAAAAGTCTCGGTATCGAACTGACTGACGACCAGCTGAATATCACCCCACCTCCGGACGTCAAC
+>0 222323
+GTAGACACCGTATCAGACACGGAAACCTGAGTTGCCGGAACTTCTATCGCCATAAAACCATTGACCCGCGCACGCAGGTTTGCCAGTAACTGTGACTGGCGAGCGAACGCCTGTTGGTGGCAAAAC
+>0 251031
+ATAGCCGCCGTTGCATTGGCAAAGCGTGCGCATTCACGCAGATTTTTGCCTTCTAACAGTGCCGCAATAAAACCTGAAGCAAAGTTATCGCCCGCGCCAATGGTGTCGATGGCGGTTATTCCTGC
+>0 258803
+TTAAAGGACTGCGTCATGATTAAGAAAATTTTTGCCCTTCCGGTCATCGAACAAA
+>0 279619
+ATAAAGGTATCCCTATGAGCAATCTGAGCCCTGATTTTGTACTACCCGAAAATTTTTGCGCTAACCCGCTAGAGGCGTGGACCATTCCTGCCCGTTTTTATCCCGATCAGAACGCGTTTG
+>16 284086
+AAAGCTAACTCTCCCGGCACCAGTTCGGGTTTGACGTACTGCATCCGGGAGCCGTTATGCAGTGCGCTACGAAATGAAATGGCATCTGGCAGATGGTATTTCGGCACCAAACACTTCATGTATTTAA
+>16 324389
+GTACTTTGCGCGCCAAACTGCGGTTCGTCCTGATGCGCCGCGCGAATTTTAT
+>16 358151
+CCTGGCTCCAGTCCTCCCCCGCCCAGCAGCGCCTGTAGTAACACCCGTTCCGGCGGTGTATCGAGGCCAAGAT
+
+
+Final fasta file
+
+
+>0 197823
+GTGCGTCGGAAAGGTTTACTGCGAGCGGATTTACAGCAGCATAAACTGAATCCAGCAAAGTTCGTTGCGTGATTTGGCGGTAGTATTTT
+>0 200492
+TTGTCAGTCAACTGCCATGCATAAGCCCCGGAGGCATAGCCCAGCGGCTGGGTTTCACGGGCATTGTCGGTATATTTGTCGTAACGCACACCTGGACCGAATTCAAAGCGGAAACTGTGTACCGGG
+>0 210465
+TTGACCAGCTGGCGCATATTGATCTCACTCTGGCCTAGGCGGTGGCGAAAAGTCTCGGTATCGAACTGACTGACGACCAGCTGAATATCACCCCACCTCCGGACGTCAAC
+>0 222323
+GTAGACACCGTATCAGACACGGAAACCTGAGTTGCCGGAACTTCTATCGCCATAAAACCATTGACCCGCGCACGCAGGTTTGCCAGTAACTGTGACTGGCGAGCGAACGCCTGTTGGTGGCAAAAC
+>0 251031
+ATAGCCGCCGTTGCATTGGCAAAGCGTGCGCATTCACGCAGATTTTTGCCTTCTAACAGTGCCGCAATAAAACCTGAAGCAAAGTTATCGCCCGCGCCAATGGTGTCGATGGCGGTTATTCCTGC
+>0 258803
+TTAAAGGACTGCGTCATGATTAAGAAAATTTTTGCCCTTCCGGTCATCGAACAAA
+>0 279619
+ATAAAGGTATCCCTATGAGCAATCTGAGCCCTGATTTTGTACTACCCGAAAATTTTTGCGCTAACCCGCTAGAGGCGTGGACCATTCCTGCCCGTTTTTATCCCGATCAGAACGCGTTTG
+>16 284212
+AAAGCTAACTCTCCCGGCACCAGTTCGGGTTTGACGTACTGCATCCGGGAGCCGTTATGCAGTGCGCTACGAAATGAAATGGCATCTGGCAGATGGTATTTCGGCACCAAACACTTCATGTATTTAA
+>16 324440
+GTACTTTGCGCGCCAAACTGCGGTTCGTCCTGATGCGCCGCGCGAATTTTAT
+>16 358223
+CCTGGCTCCAGTCCTCCCCCGCCCAGCAGCGCCTGTAGTAACACCCGTTCCGGCGGTGTATCGAGGCCAAGAT
+
+
+Final pos file
+
+
+0 473853
+0 473853
+16 474103
+0 480601
+16 484732
+16 484732
+16 486075
+0 490421
+0 492454
+0 492454
+0 492454
+0 506157
+0 506406
+0 517477
+0 535910
+16 537762
+16 537762
+0 541533
+16 543570
+0 595937
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/logo_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/logo_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b7a0e07672f51a1a2908e7bbc41c19c0205abf8e
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/logo_report.txt
@@ -0,0 +1,122 @@
+
+
+################################################################ logo PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:17:01
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:17:03
+
+
+
+
+TOTAL TIME LAPSE: 2S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script logo
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/logo.R,--args,test.fastq2_LEADING_0.stat,20,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,logo_report.txt
+freq test.fastq2_LEADING_0.stat
+insertion_dist 20
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log logo_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 ggseqlogo_0.1 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 digest_0.6.29 dplyr_1.0.7 ellipsis_0.3.2
+ [9] fansi_0.5.0 farver_2.1.0 generics_0.1.1 glue_1.6.0
+[13] grid_4.0.5 gtable_0.3.0 labeling_0.4.2 lifecycle_1.0.1
+[17] magrittr_2.0.1 munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3
+[21] purrr_0.3.4 R6_2.5.1 rlang_0.4.12 scales_1.1.1
+[25] tibble_3.1.6 tidyselect_1.1.1 utf8_1.2.2 vctrs_0.3.8
+[29] withr_2.4.3
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:17:03
+
+TOTAL TIME LAPSE: 2S
+
+
+
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nextflow.config b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nextflow.config
similarity index 71%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/nextflow.config
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nextflow.config
index 2fd8acb95d5f0842568b7d1ed0b62f76c451d585..fa0b5df4aa9ad83e13f7a4e7b12121c5f8ca3919 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nextflow.config
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nextflow.config
@@ -2,6 +2,7 @@
#########################################################################
## ##
## nextflow.config ##
+## Analysis of integron insertion in procaryotes ##
## ##
## Gael A. Millot ##
## Bioinformatics and Biostatistics Hub ##
@@ -19,15 +20,15 @@
env {
//// path and files
git_path="https://gitlab.pasteur.fr/gmillot/14985_loot/"
- //in_path="/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/dataset"
- //in_path="/mnt/share/14985_loot/dataset/B2699/00_Rawdata"
- in_path="/pasteur/zeus/projets/p01/BioIT/gmillot/14985_loot/dataset/B4985/4" // where initial fastq file is
- //in_path="/pasteur/zeus/projets/p01/BioIT/gmillot/14985_loot/dataset/B2699/00_Rawdata" // where initial fastq file is
+ in_path="$baseDir/dataset"
+ //in_path="$baseDir/dataset/B4985/4" // where initial fastq file is
+ //in_path="$baseDir/dataset/B2699/00_Rawdata" // where initial fastq file is
//fastq_file="test.fastq.gz" // fastq file name
- //fastq_file="Pool-B2699_S1_L001_R1_001.fastq.gz"
- fastq_file="4-4_S1_L001_R1_001.fastq.gz"
- //primer_fasta="/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/dataset/20200520_adapters_TruSeq_B2699_14985_CL.fasta"
- primer_fasta="/pasteur/zeus/projets/p01/BioIT/gmillot/14985_loot/results/20200520_res_CL14985_newtrim_align/20200520_adapters_TruSeq_B2699_14985_CL.fasta" // list of primers used for the library and used by Alien trimmer to trim the raw reads
+ // fastq_file="Pool-B2699_S1_L001_R1_001.fastq.gz"
+ fastq_file="test.fastq2.gz"
+ //fastq_file="4-4_S1_L001_R1_001.fastq.gz"
+ //primer_fasta="$baseDir/dataset/20200520_adapters_TruSeq_B2699_14985_CL.fasta"
+ primer_fasta="$baseDir/dataset/20200520_adapters_TruSeq_B2699_14985_CL.fasta" // list of primers used for the library and used by Alien trimmer to trim the raw reads
//primer_fasta="/mnt/share/14985_loot/results/20200520_res_CL14985_newtrim_align/20200520_adapters_TruSeq_B2699_14985_CL.fasta"
//// end path and files
@@ -46,7 +47,15 @@ env {
added_nb=3 // number of nucleotids taken after fivep_seq_nb for graphic display, to see that the frequency of each base tends toward 0.25 after fivep_seq_nb on the graph
//// end fivep_filtering
cutoff_nb=25 // reads of length cutoff_nb after trimming are removed
- ref_genome="/pasteur/zeus/projets/p01/BioIT/gmillot/reference_genomes/coli_K12_MG1655_NC_000913.3_ORI_CENTERED/Ecoli-K12-MG1655_ORI_CENTERED"
+ ref_path="$baseDir/dataset/coli_K12_MG1655_NC_000913.3_ORI_CENTERED/" // path of the reference genome
+ //ref_path="/pasteur/zeus/projets/p01/BioIT/gmillot/reference_genomes/coli_K12_MG1655_NC_000913.3_ORI_CENTERED/" // path of the reference genome
+ ref_file="Ecoli-K12-MG1655_ORI_CENTERED.fasta" // name of the the reference genome fasta file
+ ori_coord="2320711 2320942" // [2320711, 2320942] // Ecoli centered coordinates
+ ter_coord="4627368 4627400" //[4627368, 4627400] // Ecoli centered coordinates
+ color_coverage="5" // three integers for the color of the three coverage plots[1, 2, 5]
+ xlab="Ecoli Genome (bp)" // name of the reference genome for graphics
+ genome_size="4641652" // in bp
+ insertion_dist="20" // nb of bases upstream and downstream of insertions sites on the ref genome to define a consensus sequence
cute_path="https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R" // single character string indicating the file (and absolute pathway) of the required cute_little_R_functions toolbox. With ethernet connection available, this can also be used: "https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/raw/v5.1.0/cute_little_R_functions.R" or local "C:\\Users\\Gael\\Documents\\Git_projects\\cute_little_R_functions\\cute_little_R_functions.R"
}
@@ -58,22 +67,22 @@ env {
//////// variables that will be used below (and potentially in the main.nf file)
//// must be also exported
-system_exec = 'slurm' // the system that runs the workflow. Either 'local' or 'slurm'
+system_exec = 'local' // the system that runs the workflow. Either 'local' or 'slurm'
//docker_exe = true // true for docker and false for singularity
//out_path="/mnt/c/Users/Gael/Desktop" // where the report file will be saved. Example report_path = '.' for where the main.nf run is executed or report_path = '/mnt/c/Users/Gael/Desktop'
-out_path="/pasteur/zeus/projets/p01/BioIT/gmillot/14985_loot/results" // where the report file will be saved. Example report_path = '.' for where the main.nf run is executed or report_path = '/mnt/c/Users/Gael/Desktop'
+out_path="$baseDir/results" // where the report file will be saved. Example report_path = '.' for where the main.nf run is executed or report_path = '/mnt/c/Users/Gael/Desktop'
//// end must be also exported
//// general variables
-result_folder_name="20220107_res_CL14985_test"
+result_folder_name="20220120_res_CL14985_B4985_4"
//// end general variables
//// slurm variables
-fastqueue = 'hubbioit' // fast for -p option of slurm. Example: fastqueue = 'common,dedicated'. Example: fastqueue = 'hubbioit'
+fastqueue = 'common,dedicated' // fast for -p option of slurm. Example: fastqueue = 'common,dedicated'. Example: fastqueue = 'hubbioit'
fastqos= '--qos=fast' // fast for --qos option of slurm. Example: fastqos= '--qos=fast'
-normalqueue = 'hubbioit' // normal for -p option of slurm. Example: normalqueue = 'bioevo'
+normalqueue = 'common,dedicated' // normal for -p option of slurm. Example: normalqueue = 'bioevo'
normalqos = '--qos=hubbioit' // normal for --qos option of slurm. Example: normalqos = '--qos=dedicated'
-longqueue = 'hubbioit' // slow for -p option of slurm. Example: longqueue = 'bioevo'
+longqueue = 'common,dedicated' // slow for -p option of slurm. Example: longqueue = 'bioevo'
longqos = '--qos=hubbioit' // slow for --qos option of slurm. Example: longqos = '--qos=dedicated'
add_options = ' ' // additional option of slurm. Example: addoptions = '--exclude=maestro-1101,maestro-1034' or add_options = ' '
//// end slurm variables
@@ -98,7 +107,7 @@ env {
out_path = "${out_path}"
}
-//////// variables used here and also in the main.nf file
+//////// end variables used here and also in the main.nf file
@@ -132,10 +141,10 @@ timeline {
file = "${out_path}/reports/nf_timeline.html"
}
-// .dot picture of the workflow
+// .dot picture of the workflow. Only one file allowed
dag {
enabled = true
- file = "${out_path}/reports/nf_dag.dot"
+ file = "${out_path}/reports/nf_dag.png" // Warning: require graphviz installed in the system, see protocol 136
}
@@ -148,8 +157,6 @@ singularity {
cacheDir = 'singularity' // name of the directory where remote Singularity images are stored. When rerun, the exec directly uses these without redownloading them. When using a computing cluster it must be a shared folder accessible to all computing nodes
}
-
-
//////// end Scopes
@@ -166,16 +173,19 @@ process {
scratch=false
maxRetries=1
errorStrategy='retry'
+ }else{
+ maxRetries=0
+ errorStrategy='terminate'
}
-
+ // all the processes of the main.nf file with the label 'bedtools' will use this directives by default
withLabel: bash {
- container='gmillot/bash-extended_v3.0:gitlab_v4.0'
+ container='gmillot/bash-extended_v4.0:gitlab_v8.0'
cpus=1 // only used when name = "local" in the executor part above
memory='3G' // only used when name = "local" in the executor part above
}
withLabel: alien_trimmer {
- container='gmillot/alien_trimmer_v0.4.0:gitlab_v5.1' // no most recent at 20210930
+ container='gmillot/alien_trimmer_v0.4.0:gitlab_v8.1' // no most recent at 20210930
cpus=1 // only used when name = "local" in the executor part above
memory='3G' // only used when name = "local" in the executor part above
}
@@ -192,62 +202,31 @@ process {
}
withLabel: bowtie2 {
- container='gmillot/bowtie2_v2.3.4.3_extended_v1.0:gitlab_v7.0'
+ container='gmillot/bowtie2_v2.3.4.3_extended_v2.0:gitlab_v8.0'
cpus=12 // only used when name = "local" in the executor part above
memory='64G' // only used when name = "local" in the executor part above
}
- withLabel: samtools {
- container='gmillot/samtools_v1.14:gitlab_v7.0'
- cpus=1
- memory='1G'
- }
-
-// all the processes of the main.nf file with the label 'bedtools' will use this directives by default
- withLabel: bedtools {
- container='evolbioinfo/bedtools:v2.29.2'
- cpus=1
- memory='3G'
- }
-
-
-
- withLabel: coverage {
- container='evolbioinfo/samtools:v1.11'
+ withLabel: multiqc {
+ container='ewels/multiqc:1.10.1'
+ errorStrategy='ignore'
cpus=1
- memory='5G'
- }
-
- withLabel: gatk {
- //scratch=true
- container='broadinstitute/gatk:4.1.9.0'
- memory='60G'
- if(system_exec == 'slurm'){
- queue = {task.attempt>1 ? "$normalqueue" : "$fastqueue" }
- clusterOptions = {task.attempt > 1 ? "$normalqos $add_options" : "$fastqos $add_options" }
- }
}
- withLabel: bwa {
- container="evolbioinfo/bwa:v0.7.17"
- cpus=20
- memory='30G'
- }
- withLabel: bcftools {
- container="evolbioinfo/bcftools:f27f849"
+ withLabel: samtools {
+ container='gmillot/samtools_v1.14:gitlab_v8.0'
cpus=1
- memory='10G'
+ memory='1G'
}
-
-
- withLabel: multiqc {
- container='ewels/multiqc:1.10.1'
- errorStrategy='ignore'
- cpus=1
+ withLabel: bedtools {
+ container='gmillot/bedtools_v2.30.0:gitlab_v8.0'
+ cpus=12
+ memory='64G'
}
+
}
//////// end directives
\ No newline at end of file
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_dag.png b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_dag.png
new file mode 100644
index 0000000000000000000000000000000000000000..b7d23dc4545ff31cc3c68c34729a376064267635
Binary files /dev/null and b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_dag.png differ
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_report.html b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_report.html
similarity index 95%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_report.html
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_report.html
index d112fa5da0301a1574fbc8407a6c0c91f369d4aa..bdb25cd4be1ef6cd442a1eb1a4239db853a60bed 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_report.html
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_report.html
@@ -18,11 +18,11 @@
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
- <meta name="description" content="Nextflow workflow report for run id [irreverent_leakey]">
+ <meta name="description" content="Nextflow workflow report for run id [insane_curran]">
<meta name="author" content="Paolo Di Tommaso, Phil Ewels">
<link rel="icon" type="image/png" href="https://www.nextflow.io/img/favicon.png" />
- <title>[irreverent_leakey] Nextflow Workflow Report</title>
+ <title>[insane_curran] Nextflow Workflow Report</title>
<style type="text/css">
/*!
@@ -137,7 +137,7 @@ table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:r
<li class="nav-item"><a class="nav-link" href="#tasks">Tasks</a></li>
</ul>
<span class="navbar-text">
- [irreverent_leakey]
+ [insane_curran]
</span>
</div>
</nav>
@@ -146,37 +146,37 @@ table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:r
<div class="container">
<h1 class="display-3">Nextflow workflow report</h1>
- <h2 class="text-muted mb-4"><samp>[irreverent_leakey]</samp> </h2>
+ <h2 class="text-muted mb-4"><samp>[insane_curran]</samp> <em>(resumed run)</em></h2>
- <div class="alert alert-success mb-4">
- Workflow execution completed successfully!
+ <div class="alert alert-warning mb-4">
+ Workflow execution completed successfully. One or more tasks reported an error condition.
</div>
<dl>
<dt>Run times</dt>
<dd>
- <span id="workflow_start">08-Jan-2022 17:40:55</span> - <span id="workflow_complete">08-Jan-2022 17:42:22</span>
- (<span id="completed_fromnow"></span>duration: <strong>1m 26s</strong>)
+ <span id="workflow_start">30-Jan-2022 01:32:00</span> - <span id="workflow_complete">30-Jan-2022 01:32:17</span>
+ (<span id="completed_fromnow"></span>duration: <strong>17.1s</strong>)
</dd>
<dl>
<div class="progress" style="height: 1.6rem; margin: 1.2rem auto; border-radius: 0.20rem;">
- <div style="width: 100.0%" class="progress-bar bg-success" data-toggle="tooltip" data-placement="top" title="17 tasks succeeded"><span class="text-truncate"> 17 succeeded </span></div>
- <div style="width: 0.0%" class="progress-bar bg-secondary" data-toggle="tooltip" data-placement="top" title="0 tasks were cached"><span class="text-truncate"> 0 cached </span></div>
- <div style="width: 0.0%" class="progress-bar bg-warning" data-toggle="tooltip" data-placement="top" title="0 tasks reported and error and were ignored"><span class="text-truncate"> 0 ignored </span></div>
- <div style="width: 0.0%" class="progress-bar bg-danger" data-toggle="tooltip" data-placement="top" title="0 tasks failed"><span class="text-truncate"> 0 failed </span></div>
+ <div style="width: 14.63%" class="progress-bar bg-success" data-toggle="tooltip" data-placement="top" title="6 tasks succeeded"><span class="text-truncate"> 6 succeeded </span></div>
+ <div style="width: 80.49%" class="progress-bar bg-secondary" data-toggle="tooltip" data-placement="top" title="33 tasks were cached"><span class="text-truncate"> 33 cached </span></div>
+ <div style="width: 2.44%" class="progress-bar bg-warning" data-toggle="tooltip" data-placement="top" title="1 tasks reported and error and were ignored"><span class="text-truncate"> 1 ignored </span></div>
+ <div style="width: 2.44%" class="progress-bar bg-danger" data-toggle="tooltip" data-placement="top" title="1 tasks failed"><span class="text-truncate"> 1 failed </span></div>
</div>
</dl>
<dt>Nextflow command</dt>
- <dd><pre class="nfcommand"><code>nextflow run main.nf -c dev/test.config</code></pre></dd>
+ <dd><pre class="nfcommand"><code>nextflow run main.nf -resume</code></pre></dd>
</dl>
<dl class="row small">
<dt class="col-sm-3">CPU-Hours</dt>
- <dd class="col-sm-9"><samp>(a few seconds)</samp></dd>
+ <dd class="col-sm-9"><samp>0.1 (94.1% cached, 1% failed)</samp></dd>
<dt class="col-sm-3">Launch directory</dt>
<dd class="col-sm-9"><samp>/mnt/c/Users/Gael/Documents/Git_projects/14985_loot</samp></dd>
@@ -194,11 +194,11 @@ table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:r
<dt class="col-sm-3">Script ID</dt>
- <dd class="col-sm-9"><code>3ec4f02e55ddb84ab37a394588d9a20a</code></dd>
+ <dd class="col-sm-9"><code>82cab053aebafa87dea9ce1802daae16</code></dd>
<dt class="col-sm-3">Workflow session</dt>
- <dd class="col-sm-9"><code>82de11cd-ab17-4d2e-9f9a-1fcac5ef093d</code></dd>
+ <dd class="col-sm-9"><code>05a76e37-09bd-4417-9020-bc25454bb891</code></dd>
@@ -1029,7 +1029,7 @@ $(function() {
// Nextflow report data
window.data = { "trace":[
-{"task_id":"1","hash":"69\/c57218","native_id":"7359","process":"init","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v3.0-gitlab_v4.0.img","tag":"-","name":"init","status":"COMPLETED","exit":"0","submit":"1641660057299","start":"1641660057410","complete":"1641660058108","duration":"809","realtime":"7","%cpu":"5.3","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"76606","wchar":"658","syscr":"150","syscw":"26","read_bytes":"242688","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/69\/c57218c9d296b4a03bab59e30a0f9c","script":"\n echo \"---\n title: \'Insertion Sites Report\'\n author: \'Gael Millot\'\n date: \'`r Sys.Date()`\'\n output:\n html_document:\n toc: TRUE\n toc_float: TRUE\n ---\n\n <br \/><br \/>\n \" > report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"2","hash":"e2\/c4df44","native_id":"7483","process":"Nremove","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v3.0-gitlab_v4.0.img","tag":"-","name":"Nremove (1)","status":"COMPLETED","exit":"0","submit":"1641660058166","start":"1641660058208","complete":"1641660059257","duration":"1091","realtime":"321","%cpu":"65.7","%mem":"0.0","rss":"10776576","vmem":"68902912","peak_rss":"10776576","peak_vmem":"68915200","rchar":"17550306","wchar":"15167285","syscr":"1784","syscw":"1272","read_bytes":"527360","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/e2\/c4df44fdbd295c2fe6c6ecddf1d701","script":"\n Nremove.sh test.fastq2.gz \"test.fastq2_Nremove.gz\" \"report.rmd\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"634","inv_ctxt":"0"},{"task_id":"3","hash":"c6\/eb519b","native_id":"7732","process":"trim","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-alien_trimmer_v0.4.0-gitlab_v5.1.img","tag":"-","name":"trim (1)","status":"COMPLETED","exit":"0","submit":"1641660059311","start":"1641660059357","complete":"1641660061828","duration":"2517","realtime":"1766","%cpu":"50.3","%mem":"0.0","rss":"48037888","vmem":"5901651968","peak_rss":"48037888","peak_vmem":"5963837440","rchar":"17088779","wchar":"12629645","syscr":"2294","syscw":"648","read_bytes":"9939968","write_bytes":"32768","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/c6\/eb519bca2ca3847578123cbeb18913","script":"\n trim.sh test.fastq2_Nremove.gz \"test.fastq2_Nremove_trim.fq\" 20200520_adapters_TruSeq_B2699_14985_CL.fasta 30 \"report.rmd\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"3208","inv_ctxt":"0"},{"task_id":"4","hash":"02\/282cf3","native_id":"8095","process":"fastqc1","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/evolbioinfo-fastqc-v0.11.8.img","tag":"-","name":"fastqc1 (1)","status":"COMPLETED","exit":"0","submit":"1641660061879","start":"1641660061928","complete":"1641660067058","duration":"5179","realtime":"4467","%cpu":"69.5","%mem":"0.2","rss":"167895040","vmem":"3289423872","peak_rss":"167981056","peak_vmem":"3289866240","rchar":"14416395","wchar":"1279398","syscr":"7468","syscw":"5191","read_bytes":"19950592","write_bytes":"712704","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/02\/282cf3ce86c7519ee58f1d443f0971","script":"\n echo -e \"<br \/><br \/>\n\n### Read QC n\u00B01\n\n\" >> report.rmd\n echo -e \"Results are published in the [fastQC1](.\/fastQC1) folder\n\n\" >> report.rmd\n fastqc test.fastq2_Nremove_trim.fq | tee tempo.txt\n cat tempo.txt >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"-","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"4355","inv_ctxt":"9"},{"task_id":"5","hash":"2e\/5d31b8","native_id":"8622","process":"fivep_filtering","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v3.0-gitlab_v4.0.img","tag":"-","name":"fivep_filtering (1)","status":"COMPLETED","exit":"0","submit":"1641660067128","start":"1641660067159","complete":"1641660069497","duration":"2369","realtime":"1477","%cpu":"25.4","%mem":"0.0","rss":"8687616","vmem":"59457536","peak_rss":"8687616","peak_vmem":"59457536","rchar":"27130970","wchar":"15002755","syscr":"8721","syscw":"5741","read_bytes":"396288","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/2e\/5d31b807a95a6af1e2a5cda3d5a929","script":"\n fivep_filtering.sh test.fastq2_Nremove_trim.fq \"test.fastq2_Nremove_trim\" \"^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\" 48 3 51 \"CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\" \"report.rmd\"\n echo \"Nucleotide frequencies of the 5\' part of reads:<br \/><br \/>\" >> report.rmd\n echo \"\n\\`\\`\\`{r, echo = FALSE}\ntempo <- read.table(\'.\/files\/test.fastq2_Nremove_trim_5pAttc_1-51.stat\', header = TRUE, row.names = 1, colClasses = \'character\', sep = \'\\t\', check.names = FALSE) ; \nkableExtra::kable_styling(knitr::kable(head(tempo), row.names = TRUE, digits = 2, caption = \'Frequencies of bases according to positions starting at the 5\\\' of reads\', format=\'html\'), c(\'striped\', \'bordered\', \'responsive\'), font_size=12)\n\\`\\`\\`\n<br \/><br \/>\n \" >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"957","inv_ctxt":"0"},{"task_id":"6","hash":"cf\/eaa9f1","native_id":"8910","process":"plot_fivep_filtering_stat","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_fivep_filtering_stat (1)","status":"COMPLETED","exit":"0","submit":"1641660069569","start":"1641660069598","complete":"1641660082378","duration":"12809","realtime":"12161","%cpu":"68.9","%mem":"0.2","rss":"216158208","vmem":"2620452864","peak_rss":"216158208","peak_vmem":"2620477440","rchar":"20018427","wchar":"835020","syscr":"4623","syscw":"389","read_bytes":"53476352","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/cf\/eaa9f16b0cd0053b402f5f9f667515","script":"\n echo -e \"\n<br \/><br \/>\\n\\n### Base frequencies at the 5\' extremity of reads\\n\\n\n<center>\n{width=600}\n<\/center>\n \" >> report.rmd\n Rscript \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin\/plot_fivep_filtering_stat.R \"test.fastq2_Nremove_trim_5pAttc_1-51.stat\" \"CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_fivep_filtering_stat_report.txt\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"49523","inv_ctxt":"6"},{"task_id":"7","hash":"d2\/c45971","native_id":"9632","process":"plot_read_length_ini","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_read_length_ini (1)","status":"COMPLETED","exit":"0","submit":"1641660082425","start":"1641660082478","complete":"1641660095408","duration":"12983","realtime":"12362","%cpu":"64.5","%mem":"0.2","rss":"212520960","vmem":"2606702592","peak_rss":"212520960","peak_vmem":"2606727168","rchar":"20024743","wchar":"396163","syscr":"4493","syscw":"281","read_bytes":"53476352","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/d2\/c459718309fe4ec31df1eafa769d95","script":"\n echo -e \'\n<br \/><br \/>\\n\\n### Length of initial reads\\n\\n\n<center>\n{width=600}\n<\/center>\n \' >> report.rmd\n Rscript \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin\/plot_read_length.R \"test.fastq2_Nremove_trim_ini.length\" \"ini\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_read_length_ini_report.txt\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"46624","inv_ctxt":"6"},{"task_id":"8","hash":"b5\/8dda05","native_id":"10359","process":"plot_read_length_fivep_filtering","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_read_length_fivep_filtering (1)","status":"COMPLETED","exit":"0","submit":"1641660095460","start":"1641660095509","complete":"1641660107808","duration":"12348","realtime":"11689","%cpu":"68.5","%mem":"0.2","rss":"214310912","vmem":"2608353280","peak_rss":"214310912","peak_vmem":"2608377856","rchar":"20008536","wchar":"392216","syscr":"4581","syscw":"281","read_bytes":"53476352","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/b5\/8dda05a7dff31b8041293ef6b54459","script":"\n echo -e \'\n<br \/><br \/>\\n\\n### Length of reads after selection of attC in 5 prime \\n\\n\n<center>\n{width=600}\n<\/center>\n \' >> report.rmd\n Rscript \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin\/plot_read_length.R \"test.fastq2_Nremove_trim_5pAttc.length\" \"fivep_filtering\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_read_length_fivep_filtering_report.txt\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"49173","inv_ctxt":"5"},{"task_id":"9","hash":"58\/0590b3","native_id":"11082","process":"cutoff","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v3.0-gitlab_v4.0.img","tag":"-","name":"cutoff (1)","status":"COMPLETED","exit":"0","submit":"1641660107870","start":"1641660107908","complete":"1641660109158","duration":"1288","realtime":"482","%cpu":"19.6","%mem":"0.0","rss":"6537216","vmem":"59289600","peak_rss":"6537216","peak_vmem":"59289600","rchar":"7241566","wchar":"4049321","syscr":"2689","syscw":"2035","read_bytes":"343040","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/58\/0590b31a64324ff4b244545621cc45","script":"\n cutoff.sh test.fastq2_Nremove_trim_5pAtccRm.fq 25 \"test.fastq2_Nremove_trim_5pAtccRm\" \"report.rmd\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"1081","inv_ctxt":"0"},{"task_id":"10","hash":"aa\/375bb7","native_id":"11276","process":"plot_read_length_cutoff","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_read_length_cutoff (1)","status":"COMPLETED","exit":"0","submit":"1641660109205","start":"1641660109257","complete":"1641660121807","duration":"12602","realtime":"11914","%cpu":"67.6","%mem":"0.2","rss":"216166400","vmem":"2608402432","peak_rss":"216166400","peak_vmem":"2608427008","rchar":"20005770","wchar":"384672","syscr":"4590","syscw":"281","read_bytes":"53476352","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/aa\/375bb7c6420f539ea4af517b98483c","script":"\n echo -e \'\n<br \/><br \/>\\n\\n### Read length after cut-off\\n\\n\n<center>\n{width=600}\n<\/center>\n \' >> report.rmd\n Rscript \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin\/plot_read_length.R \"test.fastq2_Nremove_trim_5pAtccRm_cutoff.length\" \"cutoff\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_read_length_cutoff_report.txt\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"49121","inv_ctxt":"6"},{"task_id":"11","hash":"f3\/980878","native_id":"12000","process":"fastqc2","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/evolbioinfo-fastqc-v0.11.8.img","tag":"-","name":"fastqc2 (1)","status":"COMPLETED","exit":"0","submit":"1641660121849","start":"1641660121908","complete":"1641660127058","duration":"5209","realtime":"4447","%cpu":"67.8","%mem":"0.1","rss":"156282880","vmem":"3289423872","peak_rss":"156368896","peak_vmem":"3289866240","rchar":"12579127","wchar":"1246136","syscr":"7222","syscw":"5117","read_bytes":"19954688","write_bytes":"688128","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/f3\/980878609789a431cac46ef92ac89d","script":"\n echo -e \"<br \/><br \/>\\n\\n### Read QC n\u00B02\\n\\n\" >> report.rmd\n echo -e \"Results are published in the [fastQC2](.\/fastQC2) folder\\n\\n\" >> report.rmd\n fastqc test.fastq2_Nremove_trim_5pAtccRm.fq | tee tempo.txt\n cat tempo.txt >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"-","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"4354","inv_ctxt":"0"},{"task_id":"12","hash":"7e\/13c07f","native_id":"12530","process":"bowtie2","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bowtie2_v2.3.4.3_extended_v1.0-gitlab_v7.0.img","tag":"-","name":"bowtie2 (1)","status":"COMPLETED","exit":"0","submit":"1641660127111","start":"1641660127158","complete":"1641660129028","duration":"1917","realtime":"1138","%cpu":"35.6","%mem":"0.0","rss":"7020544","vmem":"39297024","peak_rss":"7020544","peak_vmem":"39297024","rchar":"17209497","wchar":"2028298","syscr":"2922","syscw":"505","read_bytes":"4252672","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/7e\/13c07f16b2d5cc7f72e6eac2c7b8dc","script":"\n echo -e \"<br \/><br \/>\\n\\n### Bowtie2 alignment\\n\\n\" >> report.rmd\n bowtie2 --very-sensitive -x \"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\" -U test.fastq2_Nremove_trim_5pAtccRm_cutoff.fq -t -S test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2.sam |& tee -a tempo.txt\n # --very-sensitive: no soft clipping allowed and very sensitive seed alignment\n # -t time displayed\n sed -i -e \':a;N;$!ba;s\/\\n\/\\n<br \\\/>\/g\' tempo.txt\n cat tempo.txt >> report.rmd\n samtools view -bh -o test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2.bam test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2.sam |& tee -a bowtie2_report.txt\n samtools sort -o test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted.bam test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2.bam |& tee -a bowtie2_report.txt\n samtools index test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted.bam |& tee -a bowtie2_report.txt\n ","scratch":"-","queue":"hubbioit","cpus":"12","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"946","inv_ctxt":"1"},{"task_id":"13","hash":"37\/73382f","native_id":"12723","process":"Q20","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/evolbioinfo-samtools-v1.11.img","tag":"-","name":"Q20 (1)","status":"COMPLETED","exit":"0","submit":"1641660129066","start":"1641660129127","complete":"1641660130048","duration":"982","realtime":"213","%cpu":"22.9","%mem":"0.0","rss":"6168576","vmem":"43405312","peak_rss":"6238208","peak_vmem":"43536384","rchar":"662491","wchar":"229580","syscr":"220","syscw":"44","read_bytes":"1095680","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/37\/73382fe0ec4407d3fe610dd4c1f993","script":"\n samtools view -q 20 -b test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted.bam > test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted_q20.bam |& tee q20_report.txt\n samtools index test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted_q20.bam\n echo -e \"<br \/><br \/>\\n\\n### Q20 filtering\\n\\n\" >> report.rmd\n cat q20_report.txt >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"1073741824","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"848","inv_ctxt":"0"},{"task_id":"14","hash":"37\/72d797","native_id":"12882","process":"no_soft_clipping","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/evolbioinfo-samtools-v1.11.img","tag":"-","name":"no_soft_clipping (1)","status":"COMPLETED","exit":"0","submit":"1641660130082","start":"1641660130147","complete":"1641660130957","duration":"875","realtime":"179","%cpu":"22.4","%mem":"0.0","rss":"2863104","vmem":"18472960","peak_rss":"2863104","peak_vmem":"18472960","rchar":"2100738","wchar":"1583791","syscr":"627","syscw":"413","read_bytes":"1108992","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/37\/72d7976f02849b44b5aaca96126f19","script":"\n echo -e \"<br \/><br \/>\\n\\n### Control that no more soft clipping in reads\\n\\n\" >> report.rmd\n echo -e \"nb of reads with soft clipping (S) in CIGAR: $(printf \"%\'d\" $(samtools view test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted_q20.bam | awk \'$6 ~ \/.*[S].*\/{print $0}\' | wc -l))\" >> report.rmd\n echo -e \"\\n\\ntotal nb of reads: $(printf \"%\'d\" $(samtools view test.fastq2_Nremove_trim_5pAtccRm_cutoff_bowtie2_sorted_q20.bam | wc -l))\" >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"1073741824","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"31","inv_ctxt":"0"},{"task_id":"15","hash":"66\/97a842","native_id":"13148","process":"backup","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v3.0-gitlab_v4.0.img","tag":"-","name":"backup (1)","status":"COMPLETED","exit":"0","submit":"1641660130997","start":"1641660131057","complete":"1641660131827","duration":"830","realtime":"11","%cpu":"10.7","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"76827","wchar":"484","syscr":"149","syscw":"19","read_bytes":"242688","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/66\/97a8426cc8e3dfe82cd099d56aa270","script":"\n echo -e \"<br \/><br \/>\n\n### Backup\n\n\" >> report.rmd\n echo -e \"See the reports folder for all the details of the analysis, including the parameters used in the .config file\" >> report.rmd\n echo -e \"<br \/><br \/>Full .nextflow.log is in: \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot<br \/>The one in the result folder is not complete (miss the end)\" >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"16","hash":"f9\/c26a1f","native_id":"13279","process":"workflowVersion","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v3.0-gitlab_v4.0.img","tag":"-","name":"workflowVersion (1)","status":"COMPLETED","exit":"0","submit":"1641660131882","start":"1641660131927","complete":"1641660133018","duration":"1136","realtime":"385","%cpu":"16.3","%mem":"0.0","rss":"4571136","vmem":"36954112","peak_rss":"4571136","peak_vmem":"36954112","rchar":"109925","wchar":"5097","syscr":"240","syscw":"41","read_bytes":"1427456","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/f9\/c26a1ff5459d0647e133d27a9077d6","script":"\n echo -e \"<br \/><br \/>\n\n### Workflow Version\n\n\" >> report.rmd\n echo \"Project (empty means no .git folder where the main.nf file is present): \" $(git -C \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot remote -v | head -n 1) >> report.rmd # works only if the main script run is located in a directory that has a .git folder, i.e., that is connected to a distant repo\n echo \"<br \/>Git info (empty means no .git folder where the main.nf file is present): \" $(git -C \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot describe --abbrev=10 --dirty --always --tags) >> report.rmd # idem. Provide the small commit number of the script and nextflow.config used in the execution\n echo \"<br \/>Cmd line: nextflow run main.nf -c dev\/test.config\" >> report.rmd\n echo \"<br \/>execution mode\": local >> report.rmd\n modules= # this is just to deal with variable interpretation during the creation of the .command.sh file by nextflow. See also $modules below\n if [[ ! -z $modules ]] ; then\n echo \"<br \/>loaded modules (according to specification by the user thanks to the --modules argument of main.nf)\": >> report.rmd\n fi\n echo \"<br \/>Manifest\'s pipeline version: null\" >> report.rmd\n echo \"<br \/>result path: \/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\" >> report.rmd\n echo \"<br \/>nextflow version: 21.04.2\" >> report.rmd\n echo -e \"<br \/><br \/>\\n\\nIMPLICIT VARIABLES:\\n\\nlaunchDir (directory where the workflow is run): \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot<br \/>\\nprojectDir (directory where the main.nf script is located): \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot<br \/>\\nworkDir (directory where tasks temporary files are created): \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\" >> report.rmd\n echo -e \"<br \/><br \/>\\n\\nUSER VARIABLES:<br \/>\\n\\nout_path: \/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055<br \/>\\nin_path: \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\" >> report.rmd\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"33","inv_ctxt":"0"},{"task_id":"17","hash":"37\/656e13","native_id":"13486","process":"print_report","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"print_report (1)","status":"COMPLETED","exit":"0","submit":"1641660133094","start":"1641660133117","complete":"1641660142418","duration":"9324","realtime":"8625","%cpu":"54.0","%mem":"0.2","rss":"222433280","vmem":"1102445096960","peak_rss":"222433280","peak_vmem":"1102517256192","rchar":"20210520","wchar":"2944814","syscr":"4087","syscw":"477","read_bytes":"54772736","write_bytes":"4096","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/37\/656e13534345821901a063f51002bd","script":"\n cp tempo_report report.rmd # this is to get hard files, not symlinks\n mkdir figures\n mkdir files\n cat stat_tempo > .\/files\/test.fastq2_Nremove_trim_5pAttc_1-51.stat # this is to get hard files, not symlinks\n cp plot_fivep_filtering_stat .\/figures\/plot_fivep_filtering_stat.png # also works: cat plot_fivep_filtering_stat > .\/figures\/plot_fivep_filtering_stat.png\n cp plot_read_length_ini .\/figures\/plot_read_length_ini.png\n cp plot_read_length_fivep_filtering .\/figures\/plot_read_length_fivep_filtering.png\n cp plot_read_length_cutoff .\/figures\/plot_read_length_cutoff.png\n Rscript \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin\/print_report.R \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"report.rmd\" \"print_report.txt\"\n ","scratch":"-","queue":"hubbioit","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_genome=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/Ecoli-K12-MG1655_ORI_CENTERED\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Desktop\/20211201_res_CL14985_test_1641660055\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"42692","inv_ctxt":"19"}], "summary":[{"cpuUsage":{"mean":5.3,"min":5.3,"q1":5.3,"q2":5.3,"q3":5.3,"max":5.3,"minLabel":"init","maxLabel":"init","q1Label":"init","q2Label":"init","q3Label":"init"},"process":"init","mem":null,"memUsage":null,"timeUsage":null,"vmem":null,"reads":{"mean":76606,"min":76606,"q1":76606,"q2":76606,"q3":76606,"max":76606,"minLabel":"init","maxLabel":"init","q1Label":"init","q2Label":"init","q3Label":"init"},"cpu":{"mean":5.3,"min":5.3,"q1":5.3,"q2":5.3,"q3":5.3,"max":5.3,"minLabel":"init","maxLabel":"init","q1Label":"init","q2Label":"init","q3Label":"init"},"time":{"mean":7,"min":7,"q1":7,"q2":7,"q3":7,"max":7,"minLabel":"init","maxLabel":"init","q1Label":"init","q2Label":"init","q3Label":"init"},"writes":{"mean":658,"min":658,"q1":658,"q2":658,"q3":658,"max":658,"minLabel":"init","maxLabel":"init","q1Label":"init","q2Label":"init","q3Label":"init"}},{"cpuUsage":{"mean":65.7,"min":65.7,"q1":65.7,"q2":65.7,"q3":65.7,"max":65.7,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"process":"Nremove","mem":{"mean":10776576,"min":10776576,"q1":10776576,"q2":10776576,"q3":10776576,"max":10776576,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"memUsage":{"mean":0.33,"min":0.33,"q1":0.33,"q2":0.33,"q3":0.33,"max":0.33,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"timeUsage":null,"vmem":{"mean":68915200,"min":68915200,"q1":68915200,"q2":68915200,"q3":68915200,"max":68915200,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"reads":{"mean":17550306,"min":17550306,"q1":17550306,"q2":17550306,"q3":17550306,"max":17550306,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"cpu":{"mean":65.7,"min":65.7,"q1":65.7,"q2":65.7,"q3":65.7,"max":65.7,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"time":{"mean":321,"min":321,"q1":321,"q2":321,"q3":321,"max":321,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"},"writes":{"mean":15167285,"min":15167285,"q1":15167285,"q2":15167285,"q3":15167285,"max":15167285,"minLabel":"Nremove (1)","maxLabel":"Nremove (1)","q1Label":"Nremove (1)","q2Label":"Nremove (1)","q3Label":"Nremove (1)"}},{"cpuUsage":{"mean":50.3,"min":50.3,"q1":50.3,"q2":50.3,"q3":50.3,"max":50.3,"minLabel":"trim (1)","maxLabel":"trim (1)","q1Label":"trim (1)","q2Label":"trim (1)","q3Label":"trim (1)"},"process":"trim","mem":{"mean":48037888,"min":48037888,"q1":48037888,"q2":48037888,"q3":48037888,"max":48037888,"minLabel":"trim (1)","maxLabel":"trim (1)","q1Label":"trim (1)","q2Label":"trim 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echo \"---\n title: \'Insertion Sites Report\'\n author: \'Gael Millot\'\n date: \'`r Sys.Date()`\'\n output:\n html_document:\n toc: TRUE\n toc_float: TRUE\n ---\n\n \\n\\n<br \/><br \/>\\n\\n\n \" > report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"4","hash":"83\/852866","native_id":"2073","process":"trim","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-alien_trimmer_v0.4.0-gitlab_v8.1.img","tag":"-","name":"trim (1)","status":"CACHED","exit":"0","submit":"1643373350548","start":"1643373350608","complete":"1643373353447","duration":"2899","realtime":"1965","%cpu":"45.8","%mem":"0.0","rss":"42082304","vmem":"5903679488","peak_rss":"42082304","peak_vmem":"5970440192","rchar":"17145303","wchar":"12629480","syscr":"2382","syscw":"647","read_bytes":"9977856","write_bytes":"32768","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/83\/85286619f8166e344161bbf1acdf82","script":"\n trim.sh test.fastq2_Nremove.gz \"test.fastq2_trim.fq\" 20200520_adapters_TruSeq_B2699_14985_CL.fasta 30 \"report.rmd\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643373347\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"3262","inv_ctxt":"0"},{"task_id":"3","hash":"da\/ad6e2d","native_id":"5704","process":"report1","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"report1","status":"COMPLETED","exit":"0","submit":"1643502722486","start":"1643502722513","complete":"1643502724118","duration":"1632","realtime":"27","%cpu":"5.4","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"107083","wchar":"750","syscr":"189","syscw":"54","read_bytes":"242688","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/da\/ad6e2d42ab7c2519f447c0a27f26ba","script":"\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n### Read coverage\\n\\nOf note: process is parallelized at that stage (three channels).\n\\n\\n<br \/><br \/>\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n<br \/><br \/>\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n<br \/><br \/>\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \' > report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"6","hash":"3d\/bdd1b9","native_id":"15400","process":"fivep_filtering","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"fivep_filtering (1)","status":"CACHED","exit":"0","submit":"1643501665657","start":"1643501665697","complete":"1643501668868","duration":"3211","realtime":"1725","%cpu":"25.1","%mem":"0.0","rss":"10248192","vmem":"64372736","peak_rss":"10248192","peak_vmem":"64372736","rchar":"27224486","wchar":"15002588","syscr":"8852","syscw":"5740","read_bytes":"437248","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/3d\/bdd1b96fe421cce4666d647302c689","script":"\n fivep_filtering.sh test.fastq2_trim.fq \"test.fastq2\" \"^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\" 48 3 51 \"CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\" \"report.rmd\"\n echo \"Nucleotide frequencies of the 5\' part of reads:\\n\\n<br \/><br \/>\\n\\n\" >> report.rmd\n echo \"\n\\`\\`\\`{r, echo = FALSE}\ntempo <- read.table(\'.\/files\/test.fastq2_5pAttc_1-51.stat\', header = TRUE, row.names = 1, colClasses = \'character\', sep = \'\\t\', check.names = FALSE) ; \nkableExtra::kable_styling(knitr::kable(head(tempo), row.names = TRUE, digits = 2, caption = \'Frequencies of bases according to positions starting at the 5\\\' of reads\', format=\'html\'), c(\'striped\', \'bordered\', \'responsive\'), font_size=12)\n\\`\\`\\`\n\\n\\n<br \/><br \/>\\n\\n\n \" >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"1206","inv_ctxt":"2"},{"task_id":"5","hash":"d4\/0dac5b","native_id":"15456","process":"fastqc1","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/evolbioinfo-fastqc-v0.11.8.img","tag":"-","name":"fastqc1 (1)","status":"CACHED","exit":"0","submit":"1643501665705","start":"1643501665796","complete":"1643501673237","duration":"7532","realtime":"6122","%cpu":"54.2","%mem":"0.2","rss":"169791488","vmem":"3289427968","peak_rss":"169877504","peak_vmem":"3289870336","rchar":"14416710","wchar":"1278930","syscr":"7468","syscw":"5216","read_bytes":"19979264","write_bytes":"712704","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/d4\/0dac5bd1bb437f478b8f653739965a","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Read QC n\u00B01\\n\\n\" > report.rmd\n echo -e \"Results are published in the [fastQC1](.\/fastQC1) folder\\n\\n\" >> report.rmd\n fastqc test.fastq2_trim.fq | tee tempo.txt\n cat tempo.txt >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"-","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"4342","inv_ctxt":"1"},{"task_id":"11","hash":"0e\/1a77a6","native_id":"1981","process":"plot_read_length_fivep_filtering","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_read_length_fivep_filtering (1)","status":"CACHED","exit":"0","submit":"1643502428145","start":"1643502428237","complete":"1643502441128","duration":"12983","realtime":"12264","%cpu":"65.7","%mem":"0.2","rss":"212512768","vmem":"2606886912","peak_rss":"212512768","peak_vmem":"2606911488","rchar":"20012949","wchar":"392171","syscr":"4676","syscw":"291","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/0e\/1a77a609a027cda4ab1df29edfd999","script":"\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n### Length of reads after selection of attC in 5 prime \\n\\n\n\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \' > report.rmd\n plot_read_length.R \"test.fastq2_5pAttc.length\" \"fivep_filtering\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_read_length_fivep_filtering_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502411\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"47874","inv_ctxt":"12"},{"task_id":"8","hash":"6a\/ddfcf2","native_id":"421","process":"plot_read_length_ini","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_read_length_ini (1)","status":"CACHED","exit":"0","submit":"1643502413912","start":"1643502413976","complete":"1643502428137","duration":"14225","realtime":"12976","%cpu":"61.4","%mem":"0.2","rss":"209858560","vmem":"2605805568","peak_rss":"209858560","peak_vmem":"2605830144","rchar":"20029102","wchar":"396115","syscr":"4703","syscw":"291","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/6a\/ddfcf2820d5221b41280a6ab16bee4","script":"\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n### Length of initial reads\\n\\n\n\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \' > report.rmd\n plot_read_length.R \"test.fastq2_ini.length\" \"ini\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_read_length_ini_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502411\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"42426","inv_ctxt":"27"},{"task_id":"7","hash":"c2\/d12542","native_id":"16559","process":"cutoff","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"cutoff (1)","status":"CACHED","exit":"0","submit":"1643501668951","start":"1643501668982","complete":"1643501670880","duration":"1929","realtime":"742","%cpu":"18.6","%mem":"0.0","rss":"10014720","vmem":"64229376","peak_rss":"10014720","peak_vmem":"64229376","rchar":"7308093","wchar":"4049160","syscr":"2784","syscw":"2034","read_bytes":"384000","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/c2\/d12542fa2865d62b0b33667dccba0b","script":"\n cutoff.sh test.fastq2_5pAtccRm.fq 25 \"test.fastq2\" \"report.rmd\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"1208","inv_ctxt":"2"},{"task_id":"10","hash":"39\/605ace","native_id":"19021","process":"plot_fivep_filtering_stat","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_fivep_filtering_stat (1)","status":"CACHED","exit":"0","submit":"1643501696916","start":"1643501697008","complete":"1643501710678","duration":"13762","realtime":"13144","%cpu":"64.4","%mem":"0.2","rss":"213291008","vmem":"2617647104","peak_rss":"213291008","peak_vmem":"2617671680","rchar":"20022676","wchar":"834970","syscr":"4702","syscw":"399","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/39\/605acefab0d65841267b46a0f7efca","script":"\n echo -e \"\n\\n\\n<br \/><br \/>\\n\\n### Base frequencies at the 5\' extremity of reads\\n\\n\n\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \" > report.rmd\n plot_fivep_filtering_stat.R \"test.fastq2_5pAttc_1-51.stat\" \"CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_fivep_filtering_stat_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"42495","inv_ctxt":"9"},{"task_id":"12","hash":"5a\/b6224e","native_id":"5787","process":"backup","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"backup","status":"COMPLETED","exit":"0","submit":"1643502722610","start":"1643502722691","complete":"1643502724198","duration":"1588","realtime":"13","%cpu":"5.6","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"106878","wchar":"521","syscr":"189","syscw":"25","read_bytes":"242688","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/5a\/b6224e49b3f6db6591face5f6c8034","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Backup\\n\\n\" > report.rmd\n echo -e \"See the [reports](.\/reports) folder for all the details of the analysis, including the parameters used in the .config file\" >> report.rmd\n echo -e \"\\n\\n<br \/><br \/>\\n\\nFull .nextflow.log is in: \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot<br \/>The one in the [reports](.\/reports) folder is not complete (miss the end)\" >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"14","hash":"90\/6d8ce9","native_id":"2704","process":"plot_read_length_cutoff","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_read_length_cutoff (1)","status":"CACHED","exit":"0","submit":"1643502441165","start":"1643502441229","complete":"1643502454158","duration":"12993","realtime":"12308","%cpu":"65.6","%mem":"0.2","rss":"212455424","vmem":"2606612480","peak_rss":"212455424","peak_vmem":"2606637056","rchar":"20010083","wchar":"384578","syscr":"4674","syscw":"291","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/90\/6d8ce9a4f979153cadf0b77dd1ff16","script":"\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n### Read length after cut-off\\n\\n\n\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \' > report.rmd\n plot_read_length.R \"test.fastq2_cutoff.length\" \"cutoff\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_read_length_cutoff_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502411\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"47417","inv_ctxt":"5"},{"task_id":"15","hash":"e7\/3d41cd","native_id":"20466","process":"bowtie2","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bowtie2_v2.3.4.3_extended_v2.0-gitlab_v8.0.img","tag":"-","name":"bowtie2 (1)","status":"CACHED","exit":"0","submit":"1643501724166","start":"1643501724258","complete":"1643501728458","duration":"4292","realtime":"3349","%cpu":"56.2","%mem":"0.0","rss":"67231744","vmem":"249085952","peak_rss":"118390784","peak_vmem":"251146240","rchar":"36678442","wchar":"17009942","syscr":"3395","syscw":"2522","read_bytes":"7209984","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/e7\/3d41cd4c538d5ca6c0471c844749df","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Bowtie2 indexing of the reference sequence\\n\\n\" >> bowtie2_report.txt\n bowtie2-build Ecoli-K12-MG1655_ORI_CENTERED.fasta Ecoli-K12-MG1655_ORI_CENTERED |& tee -a bowtie2_report.txt\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Bowtie2 alignment\\n\\n\" > report.rmd\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Bowtie2 alignment\\n\\n\" >> bowtie2_report.txt\n bowtie2 --very-sensitive -x Ecoli-K12-MG1655_ORI_CENTERED -U test.fastq2_cutoff.fq -t -S test.fastq2_bowtie2.sam |& tee -a tempo.txt\n # --very-sensitive: no soft clipping allowed and very sensitive seed alignment\n # -t time displayed\n cat tempo.txt >> bowtie2_report.txt\n sed -i -e \':a;N;$!ba;s\/\\n\/\\n<br \\\/>\/g\' tempo.txt\n cat tempo.txt >> report.rmd\n echo -e \"\\n\\n<br \/><br \/>\\n\\n#### samtools conversion\\n\\n\" >> bowtie2_report.txt\n # samtools faidx Ecoli-K12-MG1655_ORI_CENTERED.fasta\n samtools view -bh -o tempo.bam test.fastq2_bowtie2.sam |& tee -a bowtie2_report.txt\n samtools sort -o test.fastq2_bowtie2.bam tempo.bam |& tee -a bowtie2_report.txt\n samtools index test.fastq2_bowtie2.bam |& tee -a bowtie2_report.txt\n ","scratch":"-","queue":"-","cpus":"12","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"4167","inv_ctxt":"3"},{"task_id":"9","hash":"7f\/97f499","native_id":"16520","process":"fastqc2","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/evolbioinfo-fastqc-v0.11.8.img","tag":"-","name":"fastqc2 (1)","status":"CACHED","exit":"0","submit":"1643501668909","start":"1643501668968","complete":"1643501674838","duration":"5929","realtime":"4948","%cpu":"62.1","%mem":"0.1","rss":"156872704","vmem":"3289427968","peak_rss":"156872704","peak_vmem":"3289870336","rchar":"12682327","wchar":"1245416","syscr":"7282","syscw":"5119","read_bytes":"19950592","write_bytes":"688128","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/7f\/97f4999c7120d58c9437b8646adcb7","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Read QC n\u00B02\\n\\n\" > report.rmd\n echo -e \"Results are published in the [fastQC2](.\/fastQC2) folder\\n\\n\" >> report.rmd\n fastqc test.fastq2_5pAtccRm.fq | tee tempo.txt\n cat tempo.txt >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"-","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"4346","inv_ctxt":"3"},{"task_id":"13","hash":"03\/b99a01","native_id":"5827","process":"workflowVersion","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"workflowVersion","status":"COMPLETED","exit":"0","submit":"1643502722651","start":"1643502722722","complete":"1643502724777","duration":"2126","realtime":"600","%cpu":"11.8","%mem":"0.0","rss":"5136384","vmem":"40296448","peak_rss":"5136384","peak_vmem":"40296448","rchar":"138438","wchar":"1743","syscr":"298","syscw":"53","read_bytes":"1521664","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/03\/b99a0109901e11853c8f5903711889","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Workflow Version\\n\\n\" > report.rmd\n echo \"Project (empty means no .git folder where the main.nf file is present): \" $(git -C \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot remote -v | head -n 1) >> report.rmd # works only if the main script run is located in a directory that has a .git folder, i.e., that is connected to a distant repo\n echo \"<br \/>Git info (empty means no .git folder where the main.nf file is present): \" $(git -C \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot describe --abbrev=10 --dirty --always --tags) >> report.rmd # idem. Provide the small commit number of the script and nextflow.config used in the execution\n echo \"<br \/>Cmd line: nextflow run main.nf -resume\" >> report.rmd\n echo \"<br \/>execution mode\": local >> report.rmd\n modules= # this is just to deal with variable interpretation during the creation of the .command.sh file by nextflow. See also $modules below\n if [[ ! -z $modules ]] ; then\n echo \"<br \/>loaded modules (according to specification by the user thanks to the --modules argument of main.nf)\": >> report.rmd\n fi\n echo \"<br \/>Manifest\'s pipeline version: null\" >> report.rmd\n echo \"<br \/>result path: \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\" >> report.rmd\n echo \"<br \/>nextflow version: 21.04.2\" >> report.rmd\n echo -e \"\\n\\n<br \/><br \/>\\n\\nIMPLICIT VARIABLES:\\n\\nlaunchDir (directory where the workflow is run): \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot<br \/>\\nprojectDir (directory where the main.nf script is located): \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot<br \/>\\nworkDir (directory where tasks temporary files are created): \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\" >> report.rmd\n echo -e \"\\n\\n<br \/><br \/>\\n\\nUSER VARIABLES:<br \/>\\n\\nout_path: \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720<br \/>\\nin_path: \/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\" >> report.rmd\n echo -e \"\\n\\n<br \/><br \/>\\n\\nWORKFLOW DIAGRAM:<br \/>\\n\\nSee the [nf_dag.png](.\/reports\/nf_dag.png) file\" >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"34","inv_ctxt":"1"},{"task_id":"16","hash":"6f\/aa6a8a","native_id":"20913","process":"Q20","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-samtools_v1.14-gitlab_v8.0.img","tag":"-","name":"Q20 (1)","status":"CACHED","exit":"0","submit":"1643501728547","start":"1643501728578","complete":"1643501730048","duration":"1501","realtime":"345","%cpu":"20.0","%mem":"0.0","rss":"5984256","vmem":"44822528","peak_rss":"5984256","peak_vmem":"44830720","rchar":"3392084","wchar":"2260610","syscr":"905","syscw":"567","read_bytes":"1301504","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/6f\/aa6a8a4cc9253e1478a2e0da27ee5f","script":"\n samtools view -q 20 -b test.fastq2_bowtie2.bam > test.fastq2_q20.bam |& tee q20_report.txt\n samtools index test.fastq2_q20.bam\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Q20 filtering\\n\\n\" > report.rmd\n read_nb_before=$(samtools view test.fastq2_bowtie2.bam | wc -l | cut -f1 -d\' \') # -h to add the header\n read_nb_after=$(samtools view test.fastq2_q20.bam | wc -l | cut -f1 -d\' \') # -h to add the header\n echo -e \"\\n\\nNumber of sequences before Q20 filtering: $(printf \"%\'d\" ${read_nb_before})\\n\" >> report.rmd\n echo -e \"\\n\\nNumber of sequences after Q20 filtering: $(printf \"%\'d\" ${read_nb_after})\\n\" >> report.rmd\n echo -e \"Ratio: \" >> report.rmd\n echo -e $(printf \"%.2f\n\" $(echo $\" $read_nb_after \/ $read_nb_before \" | bc -l)) >> report.rmd # the number in \'%.2f\\n\' is the number of decimals\n echo -e \"\\n\\n\" >> report.rmd\n echo $read_nb_before > read_nb_before # because nf cannot output values easily\n echo $read_nb_after > read_nb_after\n ","scratch":"-","queue":"-","cpus":"1","memory":"1073741824","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"869","inv_ctxt":"0"},{"task_id":"17","hash":"21\/74ade8","native_id":"20884","process":"coverage","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bedtools_v2.30.0-gitlab_v8.0.img","tag":"-","name":"coverage (1)","status":"CACHED","exit":"0","submit":"1643501728529","start":"1643501728567","complete":"1643501730428","duration":"1899","realtime":"706","%cpu":"17.4","%mem":"0.0","rss":"5296128","vmem":"46727168","peak_rss":"5296128","peak_vmem":"46727168","rchar":"491236","wchar":"93150","syscr":"251","syscw":"3116","read_bytes":"1806336","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/21\/74ade85b29e986aacd45e115864cbb","script":"\n # bedtools genomecov -d -ibam ${bam} > ${bam.baseName}.cov |& tee cov_report.txt # coverage per base if ever required but long process\n # to add the chr names | awk \'{h[$NF]++}; END { for(k in h) print k, h[k] }\' | sort -V > ${bam.baseName}.cov\n bedtools genomecov -bga -ibam test.fastq2_bowtie2.bam > test.fastq2_bowtie2_mini.cov |& tee cov_report.txt\n # -g ${ref} not required when inputs are bam files\n ","scratch":"-","queue":"-","cpus":"12","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"711","inv_ctxt":"2"},{"task_id":"19","hash":"25\/0d680f","native_id":"21422","process":"no_soft_clipping","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-samtools_v1.14-gitlab_v8.0.img","tag":"-","name":"no_soft_clipping (1)","status":"CACHED","exit":"0","submit":"1643501730487","start":"1643501730567","complete":"1643501731928","duration":"1441","realtime":"255","%cpu":"12.9","%mem":"0.0","rss":"3551232","vmem":"40292352","peak_rss":"3551232","peak_vmem":"40292352","rchar":"2188626","wchar":"1583813","syscr":"705","syscw":"417","read_bytes":"1153024","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/25\/0d680f96f17425e39bf602f11cb41e","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Control that no more soft clipping in reads\\n\\n\" > report.rmd\n echo -e \"nb of reads with soft clipping (S) in CIGAR: $(printf \"%\'d\" $(samtools view test.fastq2_q20.bam | awk \'$6 ~ \/.*[S].*\/{print $0}\' | wc -l | cut -f1 -d\' \'))\" >> report.rmd\n echo -e \"\\n\\ntotal nb of reads: $(printf \"%\'d\" $(samtools view test.fastq2_q20.bam | wc -l | cut -f1 -d\' \'))\" >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"1073741824","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"31","inv_ctxt":"0"},{"task_id":"20","hash":"cc\/9865db","native_id":"21391","process":"duplicate_removal","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-samtools_v1.14-gitlab_v8.0.img","tag":"-","name":"duplicate_removal (1)","status":"CACHED","exit":"0","submit":"1643501730466","start":"1643501730539","complete":"1643501733277","duration":"2811","realtime":"1654","%cpu":"26.5","%mem":"0.0","rss":"10653696","vmem":"71262208","peak_rss":"10723328","peak_vmem":"71397376","rchar":"13491633","wchar":"6912404","syscr":"7200","syscw":"5709","read_bytes":"1376256","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/cc\/9865dbde6d3b266b8c1ffbea18b8df","script":"\n duplicate_removal.sh test.fastq2_q20.bam Ecoli-K12-MG1655_ORI_CENTERED.fasta \"test.fastq2_q20_nodup.bam\" \"dup_report.txt\" \"report.rmd\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"1073741824","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"1076","inv_ctxt":"1"},{"task_id":"21","hash":"67\/ee6b1b","native_id":"21373","process":"coverage","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bedtools_v2.30.0-gitlab_v8.0.img","tag":"-","name":"coverage (2)","status":"CACHED","exit":"0","submit":"1643501730446","start":"1643501730528","complete":"1643501732177","duration":"1731","realtime":"676","%cpu":"18.1","%mem":"0.0","rss":"5201920","vmem":"46727168","peak_rss":"5201920","peak_vmem":"46727168","rchar":"343104","wchar":"84349","syscr":"239","syscw":"2824","read_bytes":"1806336","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/67\/ee6b1bf1b23dfaea3765fac5390645","script":"\n # bedtools genomecov -d -ibam ${bam} > ${bam.baseName}.cov |& tee cov_report.txt # coverage per base if ever required but long process\n # to add the chr names | awk \'{h[$NF]++}; END { for(k in h) print k, h[k] }\' | sort -V > ${bam.baseName}.cov\n bedtools genomecov -bga -ibam test.fastq2_q20.bam > test.fastq2_q20_mini.cov |& tee cov_report.txt\n # -g ${ref} not required when inputs are bam files\n ","scratch":"-","queue":"-","cpus":"12","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"751","inv_ctxt":"0"},{"task_id":"18","hash":"4f\/e9bd1f","native_id":"5912","process":"multiQC","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/ewels-multiqc-1.10.1.img","tag":"-","name":"multiQC","status":"FAILED","exit":"1","submit":"1643502722759","start":"1643502722791","complete":"1643502725502","duration":"2743","realtime":"2711","%cpu":"-","%mem":"-","rss":"-","vmem":"-","peak_rss":"-","peak_vmem":"-","rchar":"-","wchar":"-","syscr":"-","syscw":"-","read_bytes":"-","write_bytes":"-","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/4f\/e9bd1fdb6db43bbd5d17c610aff86c","script":"\n multiqc .\n ","scratch":"-","queue":"-","cpus":"1","memory":"-","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"IGNORE","vol_ctxt":"-","inv_ctxt":"-"},{"task_id":"22","hash":"80\/568e06","native_id":"22043","process":"plot_coverage","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_coverage (1)","status":"CACHED","exit":"0","submit":"1643501732186","start":"1643501732277","complete":"1643501745558","duration":"13372","realtime":"12609","%cpu":"65.2","%mem":"0.2","rss":"210939904","vmem":"2617139200","peak_rss":"210939904","peak_vmem":"2617163776","rchar":"20053650","wchar":"474335","syscr":"4698","syscw":"303","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/80\/568e062d9eca80ea79384bb39d7252","script":"\n plot_coverage.R \"test.fastq2_bowtie2_mini\" \"read_nb_before\" \"2320711 2320942\" \"4627368 4627400\" \"5\" \"Ecoli Genome (bp)\" \"test.fastq2\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_coverage_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"46184","inv_ctxt":"26"},{"task_id":"23","hash":"80\/428c10","native_id":"22408","process":"insertion","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-samtools_v1.14-gitlab_v8.0.img","tag":"-","name":"insertion (1)","status":"CACHED","exit":"0","submit":"1643501734285","start":"1643501734379","complete":"1643501735598","duration":"1313","realtime":"430","%cpu":"20.7","%mem":"0.0","rss":"9547776","vmem":"68898816","peak_rss":"9547776","peak_vmem":"68898816","rchar":"2612586","wchar":"1832042","syscr":"1554","syscw":"1165","read_bytes":"1236992","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/80\/428c1010b9d0dfce4465fe0d6bbebf","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Insertion positions\\n\\n\" > report.rmd\n echo -e \"\\n\\nOne of the step is to correct insertion site read extremity for the reverse reads. It Consist in the redefinition of POS according to FLAG. See the [insertion_report.txt](.\/reports\/insertion_report.txt) file in the reports folders for details\\n\\n\" >> report.rmd\n # extraction of bam column 2, 4 and 10, i.e., FALG, POS and SEQ\n samtools view test.fastq2_q20_nodup.bam | awk \'BEGIN{FS=\"\\t\" ; OFS=\"\" ; ORS=\"\"}{print \">\"$2\"\\t\"$4\"\\n\"$10\"\\n\" }\' > tempo\n # Of note, samtools fasta $DIR\/$SAMPLE_NAME > ${OUTPUT}.fasta # convert bam into fasta\n echo -e \"\\n\\nExtraction of the FLAG (containing the read orientation) the POS and the SEQ of the bams\\nHeader is the 1) sens of insersion (0 or 16) and 2) insertion site position\\n\\n\" >> insertion_report.txt\n cat tempo | head -60 | tail -20 >> insertion_report.txt\n # redefinition of POS according to FLAG\n awk \'BEGIN{FS=\"\t\" ; OFS=\"\" ; ORS=\"\"}{lineKind=(NR-1)%2}lineKind==0{orient=($1~\">16\") ; if(orient){var1 = $1 ; var2 = $2}else{print $0\"\\n\"}}lineKind==1{if(orient){var3 = length($0) ; var4 = var2 + var3 - 1 ; print var1\"\\t\"var4\"\\n\"$0\"\\n\"}else{print $0\"\\n\"}}\' tempo > test.fastq2_reorient.fasta\n echo -e \"\\n\\nFinal fasta file\\n\\n\" >> insertion_report.txt\n cat test.fastq2_reorient.fasta | head -60 | tail -20 >> insertion_report.txt\n awk \'{lineKind=(NR-1)%2}lineKind==0{gsub(\/>\/, \"\", $1) ; print $0}\' test.fastq2_reorient.fasta > test.fastq2.pos\n echo -e \"\\n\\nFinal pos file\\n\\n\" >> insertion_report.txt\n cat test.fastq2.pos | head -60 | tail -20 >> insertion_report.txt\n\n read_nb_before=$(samtools view test.fastq2_q20_nodup.bam | wc -l | cut -f1 -d\' \') # -h to add the header. Thus do not put here\n read_nb_after=$(wc -l test.fastq2.pos | cut -f1 -d\' \')\n echo -e \"\\n\\nNumber of reads used for insertion computation: $(printf \"%\'d\" ${read_nb_before})\\n\" >> report.rmd\n echo -e \"\\n\\nNumber of insertions: $(printf \"%\'d\" ${read_nb_after})\\n\" >> report.rmd\n echo -e \"Ratio: \" >> report.rmd\n echo -e $(printf \"%.2f\n\" $(echo $\" $read_nb_after \/ $read_nb_before \" | bc -l)) >> report.rmd # the number in \'%.2f\\n\' is the number of decimals\n echo -e \"\\n\\n\" >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"1073741824","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"935","inv_ctxt":"0"},{"task_id":"24","hash":"8a\/2740ec","native_id":"23840","process":"coverage","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bedtools_v2.30.0-gitlab_v8.0.img","tag":"-","name":"coverage (3)","status":"CACHED","exit":"0","submit":"1643501760395","start":"1643501760489","complete":"1643501761817","duration":"1422","realtime":"555","%cpu":"19.1","%mem":"0.0","rss":"5320704","vmem":"46727168","peak_rss":"5320704","peak_vmem":"46727168","rchar":"317722","wchar":"84033","syscr":"235","syscw":"2820","read_bytes":"1806336","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/8a\/2740ece316072dd38b7b63e1023b14","script":"\n # bedtools genomecov -d -ibam ${bam} > ${bam.baseName}.cov |& tee cov_report.txt # coverage per base if ever required but long process\n # to add the chr names | awk \'{h[$NF]++}; END { for(k in h) print k, h[k] }\' | sort -V > ${bam.baseName}.cov\n bedtools genomecov -bga -ibam test.fastq2_q20_nodup.bam > test.fastq2_q20_nodup_mini.cov |& tee cov_report.txt\n # -g ${ref} not required when inputs are bam files\n ","scratch":"-","queue":"-","cpus":"12","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"809","inv_ctxt":"0"},{"task_id":"27","hash":"96\/e2950b","native_id":"24770","process":"seq_around_insertion","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"seq_around_insertion (1)","status":"CACHED","exit":"0","submit":"1643501778276","start":"1643501778358","complete":"1643501786168","duration":"7892","realtime":"7289","%cpu":"55.2","%mem":"0.1","rss":"160370688","vmem":"2512834560","peak_rss":"160370688","peak_vmem":"2512859136","rchar":"18830259","wchar":"235178","syscr":"3172","syscw":"374","read_bytes":"32790528","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/96\/e2950b5364a2199cb1bcf29ad25cd8","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Sequences around insertion sites\\n\\n\" > report.rmd\n seq_around_insertion.R \"test.fastq2.pos\" \"2320711 2320942\" \"4627368 4627400\" \"20\" \"test.fastq2\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"seq_around_insertion_report.txt\"\n echo -e \"\\n\\n<br \/><br \/>\\n\\nIn each sequence of length $((20 * 2)) <br \/>position $((20 + 1)) corresponds to the first nucleotide of the reference genome part of the read\" >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"30016","inv_ctxt":"7"},{"task_id":"25","hash":"c6\/0aee4d","native_id":"23120","process":"plot_coverage","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_coverage (2)","status":"CACHED","exit":"0","submit":"1643501745575","start":"1643501745658","complete":"1643501760388","duration":"14813","realtime":"14116","%cpu":"58.2","%mem":"0.2","rss":"210956288","vmem":"2615660544","peak_rss":"210956288","peak_vmem":"2615685120","rchar":"20044815","wchar":"465675","syscr":"4724","syscw":"300","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/c6\/0aee4dee6e40a17ee201e6aaea066d","script":"\n plot_coverage.R \"test.fastq2_q20_mini\" \"read_nb_after\" \"2320711 2320942\" \"4627368 4627400\" \"5\" \"Ecoli Genome (bp)\" \"test.fastq2\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_coverage_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"35095","inv_ctxt":"6"},{"task_id":"28","hash":"86\/a57288","native_id":"25287","process":"plot_coverage","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_coverage (3)","status":"CACHED","exit":"0","submit":"1643501786175","start":"1643501786268","complete":"1643501803278","duration":"17103","realtime":"16399","%cpu":"50.6","%mem":"0.2","rss":"265187328","vmem":"2631475200","peak_rss":"265187328","peak_vmem":"2631499776","rchar":"20044504","wchar":"468966","syscr":"4730","syscw":"301","read_bytes":"53523456","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/86\/a57288a6bcc37780ad77727d47a2f9","script":"\n plot_coverage.R \"test.fastq2_q20_nodup_mini\" \"dup_read_nb\" \"2320711 2320942\" \"4627368 4627400\" \"5\" \"Ecoli Genome (bp)\" \"test.fastq2\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_coverage_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"51558","inv_ctxt":"44"},{"task_id":"29","hash":"6a\/71ea48","native_id":"26063","process":"extract_seq","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bedtools_v2.30.0-gitlab_v8.0.img","tag":"-","name":"extract_seq (1)","status":"CACHED","exit":"0","submit":"1643501803296","start":"1643501803378","complete":"1643501804958","duration":"1662","realtime":"828","%cpu":"19.0","%mem":"0.0","rss":"5984256","vmem":"52637696","peak_rss":"5984256","peak_vmem":"52654080","rchar":"9503083","wchar":"4763832","syscr":"866","syscw":"3344","read_bytes":"6359040","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/6a\/71ea48424813a982e6b102c88a0cfb","script":"\n # make a bed file from the reference genome\n echo \">ref\" > tempo.ref.fasta\n awk \'{lineKind=(NR-1)%2}lineKind==1{print $0}\' Ecoli-K12-MG1655_ORI_CENTERED.fasta >> tempo.ref.fasta |& tee extract_seq_report.txt\n bedtools getfasta -fi tempo.ref.fasta -bed test.fastq2_around_insertion.bed -fo \"test.fastq2_around_insertion.fasta\" -name |& tee extract_seq_report.txt\n rm tempo.ref.fasta\n rm tempo.ref.fasta.fai\n ","scratch":"-","queue":"-","cpus":"12","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"572","inv_ctxt":"0"},{"task_id":"26","hash":"f0\/b5af2b","native_id":"3426","process":"plot_insertion","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"plot_insertion (1)","status":"CACHED","exit":"0","submit":"1643502454177","start":"1643502454258","complete":"1643502469538","duration":"15361","realtime":"14692","%cpu":"72.5","%mem":"0.2","rss":"216834048","vmem":"2621210624","peak_rss":"216834048","peak_vmem":"2621235200","rchar":"20757237","wchar":"884928","syscr":"5143","syscw":"701","read_bytes":"53581824","write_bytes":"24576","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/f0\/b5af2b0a4780cd084ce91157e24534","script":"\n echo -e \"\\n\\n<br \/><br \/>\\n\\n### Insertion plots\\n\\n\" > report.rmd\n plot_insertion.R \"test.fastq2.pos\" \"2320711 2320942\" \"4627368 4627400\" \"Ecoli Genome (bp)\" \"4641652\" \"test.fastq2\" \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"plot_insertion_report.txt\"\n pos_nb=$(wc -l test.fastq2.pos | cut -f1 -d\' \')\n echo -e \"\\n\\nNumber of different positions: $(printf \"%\'d\" ${pos_nb})\\n\" >> report.rmd\n echo -e \"\\n\\nSee the CL Labbook section 24.7.3 to explain the limitation around 100 bp\\n\" >> report.rmd\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n<br \/><br \/>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n<br \/><br \/>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n<br \/><br \/>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n<br \/><br \/>\\n\\n\n \' >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502411\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"49812","inv_ctxt":"8"},{"task_id":"31","hash":"da\/e6a4cf","native_id":"26307","process":"base_freq","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"base_freq (2)","status":"CACHED","exit":"0","submit":"1643501805043","start":"1643501805079","complete":"1643501806437","duration":"1394","realtime":"81","%cpu":"13.4","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"288446","wchar":"19345","syscr":"530","syscw":"50","read_bytes":"279552","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/da\/e6a4cf9b9605a5a510c3d508499ff9","script":"\n # file splitting into seq\n awk -v var1=LEADING_16 \'\n {lineKind=(NR-1)%2}\n lineKind==0{toGet=($0 ~ \">\" var1) ; next}\n lineKind==1{if(toGet){print $0}}\n \' test.fastq2_around_insertion.fasta > test.fastq2_LEADING_16.seq |& tee base_freq_report.txt\n # ATGC contingency\n gawk \'{\n L=length($0);\n for(i=1;i<=L;i++) {\n B=substr($0,i,1);\n T[i][B]++;\n }\n }\n END{\n for(BI=0;BI<5;BI++) {\n B=(BI==0?\"A\":(BI==1?\"C\":(BI==2?\"G\":(BI==3?\"T\":\"Other\"))));\n printf(\"%s\",B); \n for(i in T) {\n tot=0.0;\n for(B2 in T[i]){\n tot+=T[i][B2];\n }\n printf(\"\t%0.5f\",(T[i][B])); # T[i][B]\/tot for proportion\n } \n printf(\"\\n\");\n }\n }\' test.fastq2_LEADING_16.seq > test.fastq2_LEADING_16.stat |& tee base_freq_report.txt\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"30","hash":"3a\/0c42c6","native_id":"26268","process":"base_freq","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"base_freq (1)","status":"CACHED","exit":"0","submit":"1643501805027","start":"1643501805068","complete":"1643501806307","duration":"1280","realtime":"81","%cpu":"11.0","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"286307","wchar":"17182","syscr":"526","syscw":"46","read_bytes":"279552","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/3a\/0c42c622fb39170479a0e35bbfcf31","script":"\n # file splitting into seq\n awk -v var1=LEADING_0 \'\n {lineKind=(NR-1)%2}\n lineKind==0{toGet=($0 ~ \">\" var1) ; next}\n lineKind==1{if(toGet){print $0}}\n \' test.fastq2_around_insertion.fasta > test.fastq2_LEADING_0.seq |& tee base_freq_report.txt\n # ATGC contingency\n gawk \'{\n L=length($0);\n for(i=1;i<=L;i++) {\n B=substr($0,i,1);\n T[i][B]++;\n }\n }\n END{\n for(BI=0;BI<5;BI++) {\n B=(BI==0?\"A\":(BI==1?\"C\":(BI==2?\"G\":(BI==3?\"T\":\"Other\"))));\n printf(\"%s\",B); \n for(i in T) {\n tot=0.0;\n for(B2 in T[i]){\n tot+=T[i][B2];\n }\n printf(\"\t%0.5f\",(T[i][B])); # T[i][B]\/tot for proportion\n } \n printf(\"\\n\");\n }\n }\' test.fastq2_LEADING_0.seq > test.fastq2_LEADING_0.stat |& tee base_freq_report.txt\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"32","hash":"20\/eb7cac","native_id":"26252","process":"base_freq","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"base_freq (3)","status":"CACHED","exit":"0","submit":"1643501805011","start":"1643501805059","complete":"1643501806218","duration":"1207","realtime":"85","%cpu":"14.5","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"289259","wchar":"20169","syscr":"532","syscw":"52","read_bytes":"279552","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/20\/eb7cacf079e6eeb96c176a604c50e3","script":"\n # file splitting into seq\n awk -v var1=LAGGING_0 \'\n {lineKind=(NR-1)%2}\n lineKind==0{toGet=($0 ~ \">\" var1) ; next}\n lineKind==1{if(toGet){print $0}}\n \' test.fastq2_around_insertion.fasta > test.fastq2_LAGGING_0.seq |& tee base_freq_report.txt\n # ATGC contingency\n gawk \'{\n L=length($0);\n for(i=1;i<=L;i++) {\n B=substr($0,i,1);\n T[i][B]++;\n }\n }\n END{\n for(BI=0;BI<5;BI++) {\n B=(BI==0?\"A\":(BI==1?\"C\":(BI==2?\"G\":(BI==3?\"T\":\"Other\"))));\n printf(\"%s\",B); \n for(i in T) {\n tot=0.0;\n for(B2 in T[i]){\n tot+=T[i][B2];\n }\n printf(\"\t%0.5f\",(T[i][B])); # T[i][B]\/tot for proportion\n } \n printf(\"\\n\");\n }\n }\' test.fastq2_LAGGING_0.seq > test.fastq2_LAGGING_0.stat |& tee base_freq_report.txt\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"33","hash":"f8\/e0ef18","native_id":"26344","process":"base_freq","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"base_freq (4)","status":"CACHED","exit":"0","submit":"1643501805059","start":"1643501805159","complete":"1643501806447","duration":"1388","realtime":"83","%cpu":"11.2","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"288610","wchar":"19501","syscr":"531","syscw":"51","read_bytes":"279552","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/f8\/e0ef1867b6b54566c6247e54479c3c","script":"\n # file splitting into seq\n awk -v var1=LAGGING_16 \'\n {lineKind=(NR-1)%2}\n lineKind==0{toGet=($0 ~ \">\" var1) ; next}\n lineKind==1{if(toGet){print $0}}\n \' test.fastq2_around_insertion.fasta > test.fastq2_LAGGING_16.seq |& tee base_freq_report.txt\n # ATGC contingency\n gawk \'{\n L=length($0);\n for(i=1;i<=L;i++) {\n B=substr($0,i,1);\n T[i][B]++;\n }\n }\n END{\n for(BI=0;BI<5;BI++) {\n B=(BI==0?\"A\":(BI==1?\"C\":(BI==2?\"G\":(BI==3?\"T\":\"Other\"))));\n printf(\"%s\",B); \n for(i in T) {\n tot=0.0;\n for(B2 in T[i]){\n tot+=T[i][B2];\n }\n printf(\"\t%0.5f\",(T[i][B])); # T[i][B]\/tot for proportion\n } \n printf(\"\\n\");\n }\n }\' test.fastq2_LAGGING_16.seq > test.fastq2_LAGGING_16.stat |& tee base_freq_report.txt\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"34","hash":"f0\/862ba5","native_id":"28046","process":"logo","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"logo (3)","status":"CACHED","exit":"0","submit":"1643501823705","start":"1643501823798","complete":"1643501834378","duration":"10673","realtime":"10015","%cpu":"46.6","%mem":"0.2","rss":"217239552","vmem":"2583461888","peak_rss":"217239552","peak_vmem":"2583486464","rchar":"15262234","wchar":"872063","syscr":"3328","syscw":"319","read_bytes":"34470912","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/f0\/862ba5947b99cc6bc138de729505bf","script":"\n logo.R \"test.fastq2_LEADING_16.stat\" 20 \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"logo_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"32884","inv_ctxt":"16"},{"task_id":"35","hash":"da\/c3ac83","native_id":"27463","process":"logo","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"logo (2)","status":"CACHED","exit":"0","submit":"1643501815075","start":"1643501815168","complete":"1643501823698","duration":"8623","realtime":"7948","%cpu":"58.8","%mem":"0.2","rss":"219000832","vmem":"2587545600","peak_rss":"219000832","peak_vmem":"2587570176","rchar":"15262230","wchar":"1025560","syscr":"3226","syscw":"337","read_bytes":"34470912","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/da\/c3ac839d9d127a79dd5362c142ad20","script":"\n logo.R \"test.fastq2_LEADING_0.stat\" 20 \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"logo_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"32833","inv_ctxt":"7"},{"task_id":"36","hash":"e2\/bc51e9","native_id":"26769","process":"logo","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"logo (1)","status":"CACHED","exit":"0","submit":"1643501806254","start":"1643501806318","complete":"1643501815068","duration":"8814","realtime":"8039","%cpu":"57.8","%mem":"0.2","rss":"215318528","vmem":"2583826432","peak_rss":"215318528","peak_vmem":"2583851008","rchar":"15262178","wchar":"893906","syscr":"3178","syscw":"319","read_bytes":"34470912","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/e2\/bc51e9a93c456a9ebed8ca96aac0aa","script":"\n logo.R \"test.fastq2_LAGGING_0.stat\" 20 \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"logo_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"32798","inv_ctxt":"230"},{"task_id":"37","hash":"e9\/63ebcc","native_id":"28714","process":"logo","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"logo (4)","status":"CACHED","exit":"0","submit":"1643501834395","start":"1643501834479","complete":"1643501843198","duration":"8803","realtime":"8060","%cpu":"58.3","%mem":"0.2","rss":"215941120","vmem":"2584256512","peak_rss":"215941120","peak_vmem":"2584281088","rchar":"15262226","wchar":"903078","syscr":"3192","syscw":"321","read_bytes":"34470912","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/e9\/63ebcc811b5f2c6af12f57e871e59d","script":"\n logo.R \"test.fastq2_LAGGING_16.stat\" 20 \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"logo_report.txt\"\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643501663\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"32796","inv_ctxt":"6"},{"task_id":"39","hash":"95\/207a1f","native_id":"6009","process":"report2","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-bash-extended_v4.0-gitlab_v8.0.img","tag":"-","name":"report2","status":"COMPLETED","exit":"0","submit":"1643502722953","start":"1643502722991","complete":"1643502724388","duration":"1435","realtime":"40","%cpu":"8.5","%mem":"0.0","rss":"0","vmem":"0","peak_rss":"0","peak_vmem":"0","rchar":"134089","wchar":"1387","syscr":"245","syscw":"95","read_bytes":"242688","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/95\/207a1f053657408512db4aa02ff7fe","script":"\n echo -e \"\n\\n\\n<br \/><br \/>\\n\\n### Logos\\n\\n\n\\n\\n<br \/><br \/>\\n\\nOf note: process is parallelized at that stage (four channels).\n\\n\\n<br \/><br \/>\\n\\nIn each sequence of length $((20 * 2)) <br \/>position $((20 + 1)) corresponds to the first nucleotide of the reference genome part of the read\n\" > report.rmd\n count=0\n for i in $(echo [test.fastq2_LEADING_16, test.fastq2_LEADING_0, test.fastq2_LAGGING_0, test.fastq2_LAGGING_16] | sed \'s\/^\\[\/\/\' | sed \'s\/\\]$\/\/\' | sed \'s\/,\/\/g\') ; do\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \' >> report.rmd\n count=$((count + 1))\n done\n ","scratch":"-","queue":"-","cpus":"1","memory":"3221225472","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502720\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"0","inv_ctxt":"0"},{"task_id":"38","hash":"cb\/181c64","native_id":"4148","process":"global_logo","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"global_logo","status":"CACHED","exit":"0","submit":"1643502469555","start":"1643502469638","complete":"1643502478558","duration":"9003","realtime":"8328","%cpu":"60.0","%mem":"0.2","rss":"210087936","vmem":"2579386368","peak_rss":"210087936","peak_vmem":"2579410944","rchar":"15271106","wchar":"870414","syscr":"3241","syscw":"331","read_bytes":"34470912","write_bytes":"0","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/cb\/181c64f0ae13d019e298dc901ca609","script":"\n global_logo.R \"test.fastq2_LEADING_0.stat test.fastq2_LAGGING_0.stat test.fastq2_LEADING_16.stat test.fastq2_LAGGING_16.stat\" test.fastq2 20 \"https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\" \"global_logo_report.txt\"\n echo -e \'\n\\n\\n<br \/><br \/>\\n\\n<\/center>\\n\\n\n{width=600}\n\\n\\n<\/center>\\n\\n\n \' >> report.rmd\n ","scratch":"-","queue":"-","cpus":"1","memory":"68719476736","disk":"-","time":"-","env":"git_path=https:\/\/gitlab.pasteur.fr\/gmillot\/14985_loot\/\nin_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\nfastq_file=test.fastq2.gz\nprimer_fasta=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/20200520_adapters_TruSeq_B2699_14985_CL.fasta\nalientrimmer_l_param=30\nattc_seq=CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG\nfivep_seq_filtering=^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$\nfivep_seq_nb=48\nadded_nb=3\ncutoff_nb=25\nref_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/dataset\/coli_K12_MG1655_NC_000913.3_ORI_CENTERED\/\nref_file=Ecoli-K12-MG1655_ORI_CENTERED.fasta\nori_coord=2320711 2320942\nter_coord=4627368 4627400\ncolor_coverage=5\nxlab=Ecoli Genome (bp)\ngenome_size=4641652\ninsertion_dist=20\ncute_path=https:\/\/gitlab.pasteur.fr\/gmillot\/cute_little_R_functions\/-\/raw\/v10.9.0\/cute_little_R_functions.R\nsystem_exec=local\nout_path=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/results\/20220120_res_CL14985_B4985_4_1643502411\nPATH=\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/bin:$PATH\n","error_action":"-","vol_ctxt":"31647","inv_ctxt":"6"},{"task_id":"40","hash":"4f\/b28fa0","native_id":"6633","process":"print_report","module":"-","container":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/singularity\/gmillot-r_v4.0.5_extended_v2.0-gitlab_v6.4.img","tag":"-","name":"print_report (1)","status":"COMPLETED","exit":"0","submit":"1643502724906","start":"1643502724977","complete":"1643502737878","duration":"12972","realtime":"12241","%cpu":"40.2","%mem":"0.2","rss":"210530304","vmem":"1102445289472","peak_rss":"210530304","peak_vmem":"1102450479104","rchar":"24980571","wchar":"6309543","syscr":"4778","syscw":"711","read_bytes":"54798336","write_bytes":"4096","attempt":"1","workdir":"\/mnt\/c\/Users\/Gael\/Documents\/Git_projects\/14985_loot\/work\/4f\/b28fa06f2282182787a0c584480c19","script":"\n cp report.rmd report_file.rmd # this is to get hard files, not symlinks\n mkdir figures\n mkdir files\n mkdir reports\n cat stat_tempo > .\/files\/test.fastq2_5pAttc_1-51.stat # this is to get hard files, not symlinks\n cp plot_fivep_filtering_stat .\/figures\/plot_fivep_filtering_stat.png # also works: cat plot_fivep_filtering_stat > .\/figures\/plot_fivep_filtering_stat.png\n cp plot_read_length_ini .\/figures\/plot_read_length_ini.png\n cp plot_read_length_fivep_filtering .\/figures\/plot_read_length_fivep_filtering.png\n cp plot_read_length_cutoff .\/figures\/plot_read_length_cutoff.png\n cp plot_test.fastq2_bowtie2_mini.png plot_test.fastq2_q20_mini.png plot_test.fastq2_q20_nodup_mini.png .\/figures\/ # Warning several files are copied using their initial names, i.e., the names they have in each work folders of the plot_coverage process\n cp plot_test.fastq2_insertion_hist_forward.png plot_test.fastq2_insertion_hist_reverse.png plot_test.fastq2_insertion_hist_tot.png plot_test.fastq2_insertion_hist_tot_zoom.png plot_test.fastq2_insertion_raw.png .\/figures\/ # Warning several files\n cp logo_test.fastq2_LEADING_16.png logo_test.fastq2_LEADING_0.png logo_test.fastq2_LAGGING_0.png logo_test.fastq2_LAGGING_16.png .\/figures\/ # Warning several files\n cp global_logo .\/figures\/global_logo_test.fastq2.png\n\n cp plot_read_length_cutoff .\/reports\/nf_dag.png # trick to delude the knitting during the print report\n print_report.R 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diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_timeline.html b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_timeline.html
similarity index 95%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_timeline.html
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_timeline.html
index 0291b43c4b7ff75acdea535563ecb2751f5ec6e6..197097827edbb489afd22d0fca83206890f9da13 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/nf_timeline.html
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_timeline.html
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+ {"label": "fastqc2 (1)", "cached": true, "index": 13, "times": [{"starting_time": 1643501668909, "ending_time": 1643501668968}, {"starting_time": 1643501668968, "ending_time": 1643501673916, "label": "5.9s \/ 149.6 MB \/ CACHED"}, {"starting_time": 1643501673916, "ending_time": 1643501674838}]},
+ {"label": "workflowVersion", "cached": false, "index": 14, "times": [{"starting_time": 1643502722651, "ending_time": 1643502722722}, {"starting_time": 1643502722722, "ending_time": 1643502723322, "label": "2.1s \/ 4.9 MB"}, {"starting_time": 1643502723322, "ending_time": 1643502724777}]},
+ {"label": "Q20 (1)", "cached": true, "index": 15, "times": [{"starting_time": 1643501728547, "ending_time": 1643501728578}, {"starting_time": 1643501728578, "ending_time": 1643501728923, "label": "1.5s \/ 5.7 MB \/ CACHED"}, {"starting_time": 1643501728923, "ending_time": 1643501730048}]},
+ {"label": "coverage (1)", "cached": true, "index": 16, "times": [{"starting_time": 1643501728529, "ending_time": 1643501728567}, {"starting_time": 1643501728567, "ending_time": 1643501729273, "label": "1.9s \/ 5.1 MB \/ CACHED"}, {"starting_time": 1643501729273, "ending_time": 1643501730428}]},
+ {"label": "no_soft_clipping (1)", "cached": true, "index": 17, "times": [{"starting_time": 1643501730487, "ending_time": 1643501730567}, {"starting_time": 1643501730567, "ending_time": 1643501730822, "label": "1.4s \/ 3.4 MB \/ CACHED"}, {"starting_time": 1643501730822, "ending_time": 1643501731928}]},
+ {"label": "duplicate_removal (1)", "cached": true, "index": 18, "times": [{"starting_time": 1643501730466, "ending_time": 1643501730539}, {"starting_time": 1643501730539, "ending_time": 1643501732193, "label": "2.8s \/ 10.2 MB \/ CACHED"}, {"starting_time": 1643501732193, "ending_time": 1643501733277}]},
+ {"label": "coverage (2)", "cached": true, "index": 16, "times": [{"starting_time": 1643501730446, "ending_time": 1643501730528}, {"starting_time": 1643501730528, "ending_time": 1643501731204, "label": "1.7s \/ 5 MB \/ CACHED"}, {"starting_time": 1643501731204, "ending_time": 1643501732177}]},
+ {"label": "plot_coverage (1)", "cached": true, "index": 19, "times": [{"starting_time": 1643501732186, "ending_time": 1643501732277}, {"starting_time": 1643501732277, "ending_time": 1643501744886, "label": "13.4s \/ 201.2 MB \/ CACHED"}, {"starting_time": 1643501744886, "ending_time": 1643501745558}]},
+ {"label": "multiQC", "cached": false, "index": 20, "times": [{"starting_time": 1643502722759, "ending_time": 1643502722791}, {"starting_time": 1643502722791, "ending_time": 1643502725502, "label": "2.7s \/ -"}]},
+ {"label": "insertion (1)", "cached": true, "index": 21, "times": [{"starting_time": 1643501734285, "ending_time": 1643501734379}, {"starting_time": 1643501734379, "ending_time": 1643501734809, "label": "1.3s \/ 9.1 MB \/ CACHED"}, {"starting_time": 1643501734809, "ending_time": 1643501735598}]},
+ {"label": "coverage (3)", "cached": true, "index": 16, "times": [{"starting_time": 1643501760395, "ending_time": 1643501760489}, {"starting_time": 1643501760489, "ending_time": 1643501761044, "label": "1.4s \/ 5.1 MB \/ CACHED"}, {"starting_time": 1643501761044, "ending_time": 1643501761817}]},
+ {"label": "seq_around_insertion (1)", "cached": true, "index": 22, "times": [{"starting_time": 1643501778276, "ending_time": 1643501778358}, {"starting_time": 1643501778358, "ending_time": 1643501785647, "label": "7.9s \/ 152.9 MB \/ CACHED"}, {"starting_time": 1643501785647, "ending_time": 1643501786168}]},
+ {"label": "plot_coverage (2)", "cached": true, "index": 19, "times": [{"starting_time": 1643501745575, "ending_time": 1643501745658}, {"starting_time": 1643501745658, "ending_time": 1643501759774, "label": "14.8s \/ 201.2 MB \/ CACHED"}, {"starting_time": 1643501759774, "ending_time": 1643501760388}]},
+ {"label": "plot_coverage (3)", "cached": true, "index": 19, "times": [{"starting_time": 1643501786175, "ending_time": 1643501786268}, {"starting_time": 1643501786268, "ending_time": 1643501802667, "label": "17.1s \/ 252.9 MB \/ CACHED"}, {"starting_time": 1643501802667, "ending_time": 1643501803278}]},
+ {"label": "extract_seq (1)", "cached": true, "index": 23, "times": [{"starting_time": 1643501803296, "ending_time": 1643501803378}, {"starting_time": 1643501803378, "ending_time": 1643501804206, "label": "1.7s \/ 5.7 MB \/ CACHED"}, {"starting_time": 1643501804206, "ending_time": 1643501804958}]},
+ {"label": "plot_insertion (1)", "cached": true, "index": 24, "times": [{"starting_time": 1643502454177, "ending_time": 1643502454258}, {"starting_time": 1643502454258, "ending_time": 1643502468950, "label": "15.4s \/ 206.8 MB \/ CACHED"}, {"starting_time": 1643502468950, "ending_time": 1643502469538}]},
+ {"label": "base_freq (2)", "cached": true, "index": 25, "times": [{"starting_time": 1643501805043, "ending_time": 1643501805079}, {"starting_time": 1643501805079, "ending_time": 1643501805160, "label": "1.4s \/ 0 \/ CACHED"}, {"starting_time": 1643501805160, "ending_time": 1643501806437}]},
+ {"label": "base_freq (1)", "cached": true, "index": 25, "times": [{"starting_time": 1643501805027, "ending_time": 1643501805068}, {"starting_time": 1643501805068, "ending_time": 1643501805149, "label": "1.3s \/ 0 \/ CACHED"}, {"starting_time": 1643501805149, "ending_time": 1643501806307}]},
+ {"label": "base_freq (3)", "cached": true, "index": 25, "times": [{"starting_time": 1643501805011, "ending_time": 1643501805059}, {"starting_time": 1643501805059, "ending_time": 1643501805144, "label": "1.2s \/ 0 \/ CACHED"}, {"starting_time": 1643501805144, "ending_time": 1643501806218}]},
+ {"label": "base_freq (4)", "cached": true, "index": 25, "times": [{"starting_time": 1643501805059, "ending_time": 1643501805159}, {"starting_time": 1643501805159, "ending_time": 1643501805242, "label": "1.4s \/ 0 \/ CACHED"}, {"starting_time": 1643501805242, "ending_time": 1643501806447}]},
+ {"label": "logo (3)", "cached": true, "index": 26, "times": [{"starting_time": 1643501823705, "ending_time": 1643501823798}, {"starting_time": 1643501823798, "ending_time": 1643501833813, "label": "10.7s \/ 207.2 MB \/ CACHED"}, {"starting_time": 1643501833813, "ending_time": 1643501834378}]},
+ {"label": "logo (2)", "cached": true, "index": 26, "times": [{"starting_time": 1643501815075, "ending_time": 1643501815168}, {"starting_time": 1643501815168, "ending_time": 1643501823116, "label": "8.6s \/ 208.9 MB \/ CACHED"}, {"starting_time": 1643501823116, "ending_time": 1643501823698}]},
+ {"label": "logo (1)", "cached": true, "index": 26, "times": [{"starting_time": 1643501806254, "ending_time": 1643501806318}, {"starting_time": 1643501806318, "ending_time": 1643501814357, "label": "8.8s \/ 205.3 MB \/ CACHED"}, {"starting_time": 1643501814357, "ending_time": 1643501815068}]},
+ {"label": "logo (4)", "cached": true, "index": 26, "times": [{"starting_time": 1643501834395, "ending_time": 1643501834479}, {"starting_time": 1643501834479, "ending_time": 1643501842539, "label": "8.8s \/ 205.9 MB \/ CACHED"}, {"starting_time": 1643501842539, "ending_time": 1643501843198}]},
+ {"label": "report2", "cached": false, "index": 27, "times": [{"starting_time": 1643502722953, "ending_time": 1643502722991}, {"starting_time": 1643502722991, "ending_time": 1643502723031, "label": "1.4s \/ 0"}, {"starting_time": 1643502723031, "ending_time": 1643502724388}]},
+ {"label": "global_logo", "cached": true, "index": 28, "times": [{"starting_time": 1643502469555, "ending_time": 1643502469638}, {"starting_time": 1643502469638, "ending_time": 1643502477966, "label": "9s \/ 200.4 MB \/ CACHED"}, {"starting_time": 1643502477966, "ending_time": 1643502478558}]},
+ {"label": "print_report (1)", "cached": false, "index": 29, "times": [{"starting_time": 1643502724906, "ending_time": 1643502724977}, {"starting_time": 1643502724977, "ending_time": 1643502737218, "label": "13s \/ 200.8 MB"}, {"starting_time": 1643502737218, "ending_time": 1643502737878}]}
]
}
;
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_trace.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_trace.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9207b703cf8ba86163e8bc6b31f7717ff570f911
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/nf_trace.txt
@@ -0,0 +1,41 @@
+task_id hash native_id name status exit submit duration realtime %cpu peak_rss peak_vmem rchar wchar
+2 fd/253874 1266 Nremove (1) CACHED 0 2022-01-28 13:35:48.765 1.7s 419ms 49.6% 11.9 MB 70.6 MB 16.8 MB 14.5 MB
+4 83/852866 2073 trim (1) CACHED 0 2022-01-28 13:35:50.548 2.9s 2s 45.8% 40.1 MB 5.6 GB 16.4 MB 12 MB
+6 3d/bdd1b9 15400 fivep_filtering (1) CACHED 0 2022-01-30 01:14:25.657 3.2s 1.7s 25.1% 9.8 MB 61.4 MB 26 MB 14.3 MB
+5 d4/0dac5b 15456 fastqc1 (1) CACHED 0 2022-01-30 01:14:25.705 7.5s 6.1s 54.2% 162 MB 3.1 GB 13.7 MB 1.2 MB
+11 0e/1a77a6 1981 plot_read_length_fivep_filtering (1) CACHED 0 2022-01-30 01:27:08.145 13s 12.3s 65.7% 202.7 MB 2.4 GB 19.1 MB 383 KB
+8 6a/ddfcf2 421 plot_read_length_ini (1) CACHED 0 2022-01-30 01:26:53.912 14.2s 13s 61.4% 200.1 MB 2.4 GB 19.1 MB 386.8 KB
+7 c2/d12542 16559 cutoff (1) CACHED 0 2022-01-30 01:14:28.951 1.9s 742ms 18.6% 9.6 MB 61.3 MB 7 MB 3.9 MB
+10 39/605ace 19021 plot_fivep_filtering_stat (1) CACHED 0 2022-01-30 01:14:56.916 13.8s 13.1s 64.4% 203.4 MB 2.4 GB 19.1 MB 815.4 KB
+14 90/6d8ce9 2704 plot_read_length_cutoff (1) CACHED 0 2022-01-30 01:27:21.165 13s 12.3s 65.6% 202.6 MB 2.4 GB 19.1 MB 375.6 KB
+15 e7/3d41cd 20466 bowtie2 (1) CACHED 0 2022-01-30 01:15:24.166 4.3s 3.3s 56.2% 112.9 MB 239.5 MB 35 MB 16.2 MB
+9 7f/97f499 16520 fastqc2 (1) CACHED 0 2022-01-30 01:14:28.909 5.9s 4.9s 62.1% 149.6 MB 3.1 GB 12.1 MB 1.2 MB
+16 6f/aa6a8a 20913 Q20 (1) CACHED 0 2022-01-30 01:15:28.547 1.5s 345ms 20.0% 5.7 MB 42.8 MB 3.2 MB 2.2 MB
+17 21/74ade8 20884 coverage (1) CACHED 0 2022-01-30 01:15:28.529 1.9s 706ms 17.4% 5.1 MB 44.6 MB 479.7 KB 91 KB
+19 25/0d680f 21422 no_soft_clipping (1) CACHED 0 2022-01-30 01:15:30.487 1.4s 255ms 12.9% 3.4 MB 38.4 MB 2.1 MB 1.5 MB
+20 cc/9865db 21391 duplicate_removal (1) CACHED 0 2022-01-30 01:15:30.466 2.8s 1.7s 26.5% 10.2 MB 68.1 MB 12.9 MB 6.6 MB
+21 67/ee6b1b 21373 coverage (2) CACHED 0 2022-01-30 01:15:30.446 1.7s 676ms 18.1% 5 MB 44.6 MB 335.1 KB 82.4 KB
+22 80/568e06 22043 plot_coverage (1) CACHED 0 2022-01-30 01:15:32.186 13.4s 12.6s 65.2% 201.2 MB 2.4 GB 19.1 MB 463.2 KB
+23 80/428c10 22408 insertion (1) CACHED 0 2022-01-30 01:15:34.285 1.3s 430ms 20.7% 9.1 MB 65.7 MB 2.5 MB 1.7 MB
+24 8a/2740ec 23840 coverage (3) CACHED 0 2022-01-30 01:16:00.395 1.4s 555ms 19.1% 5.1 MB 44.6 MB 310.3 KB 82.1 KB
+27 96/e2950b 24770 seq_around_insertion (1) CACHED 0 2022-01-30 01:16:18.276 7.9s 7.3s 55.2% 152.9 MB 2.3 GB 18 MB 229.7 KB
+25 c6/0aee4d 23120 plot_coverage (2) CACHED 0 2022-01-30 01:15:45.575 14.8s 14.1s 58.2% 201.2 MB 2.4 GB 19.1 MB 454.8 KB
+28 86/a57288 25287 plot_coverage (3) CACHED 0 2022-01-30 01:16:26.175 17.1s 16.4s 50.6% 252.9 MB 2.5 GB 19.1 MB 458 KB
+29 6a/71ea48 26063 extract_seq (1) CACHED 0 2022-01-30 01:16:43.296 1.7s 828ms 19.0% 5.7 MB 50.2 MB 9.1 MB 4.5 MB
+26 f0/b5af2b 3426 plot_insertion (1) CACHED 0 2022-01-30 01:27:34.177 15.4s 14.7s 72.5% 206.8 MB 2.4 GB 19.8 MB 864.2 KB
+31 da/e6a4cf 26307 base_freq (2) CACHED 0 2022-01-30 01:16:45.043 1.4s 81ms 13.4% 0 0 281.7 KB 18.9 KB
+30 3a/0c42c6 26268 base_freq (1) CACHED 0 2022-01-30 01:16:45.027 1.3s 81ms 11.0% 0 0 279.6 KB 16.8 KB
+32 20/eb7cac 26252 base_freq (3) CACHED 0 2022-01-30 01:16:45.011 1.2s 85ms 14.5% 0 0 282.5 KB 19.7 KB
+33 f8/e0ef18 26344 base_freq (4) CACHED 0 2022-01-30 01:16:45.059 1.4s 83ms 11.2% 0 0 281.8 KB 19 KB
+34 f0/862ba5 28046 logo (3) CACHED 0 2022-01-30 01:17:03.705 10.7s 10s 46.6% 207.2 MB 2.4 GB 14.6 MB 851.6 KB
+35 da/c3ac83 27463 logo (2) CACHED 0 2022-01-30 01:16:55.075 8.6s 7.9s 58.8% 208.9 MB 2.4 GB 14.6 MB 1001.5 KB
+36 e2/bc51e9 26769 logo (1) CACHED 0 2022-01-30 01:16:46.254 8.8s 8s 57.8% 205.3 MB 2.4 GB 14.6 MB 873 KB
+37 e9/63ebcc 28714 logo (4) CACHED 0 2022-01-30 01:17:14.395 8.8s 8.1s 58.3% 205.9 MB 2.4 GB 14.6 MB 881.9 KB
+38 cb/181c64 4148 global_logo CACHED 0 2022-01-30 01:27:49.555 9s 8.3s 60.0% 200.4 MB 2.4 GB 14.6 MB 850 KB
+1 37/636e49 5675 init COMPLETED 0 2022-01-30 01:32:02.438 1.6s 11ms 5.6% 0 0 104.2 KB 672 B
+3 da/ad6e2d 5704 report1 COMPLETED 0 2022-01-30 01:32:02.486 1.6s 27ms 5.4% 0 0 104.6 KB 750 B
+12 5a/b6224e 5787 backup COMPLETED 0 2022-01-30 01:32:02.610 1.6s 13ms 5.6% 0 0 104.4 KB 521 B
+39 95/207a1f 6009 report2 COMPLETED 0 2022-01-30 01:32:02.953 1.4s 40ms 8.5% 0 0 130.9 KB 1.4 KB
+13 03/b99a01 5827 workflowVersion COMPLETED 0 2022-01-30 01:32:02.651 2.1s 600ms 11.8% 4.9 MB 38.4 MB 135.2 KB 1.7 KB
+18 4f/e9bd1f 5912 multiQC FAILED 1 2022-01-30 01:32:02.759 2.7s 2.7s - - - - -
+40 4f/b28fa0 6633 print_report (1) COMPLETED 0 2022-01-30 01:32:04.906 13s 12.2s 40.2% 200.8 MB 1 TB 23.8 MB 6 MB
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_cov_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_cov_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ce641b1522a0d2158250c0323122aae077f719ee
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_cov_report.txt
@@ -0,0 +1,384 @@
+
+
+################################################################ plot_coverage PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:16:36
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:16:42
+
+
+
+
+TOTAL TIME LAPSE: 6S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script plot_coverage
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_coverage.R,--args,test.fastq2_q20_nodup_mini,dup_read_nb,2320711 2320942,4627368 4627400,5,Ecoli Genome (bp),test.fastq2,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_coverage_report.txt
+cov test.fastq2_q20_nodup_mini
+read_nb dup_read_nb
+ori_coord 2320711 2320942
+ter_coord 4627368 4627400
+color_coverage 5
+xlab Ecoli Genome (bp)
+file_name test.fastq2
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log plot_coverage_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 lemon_0.4.5 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 digest_0.6.29 dplyr_1.0.7 ellipsis_0.3.2
+ [9] fansi_0.5.0 farver_2.1.0 generics_0.1.1 glue_1.6.0
+[13] grid_4.0.5 gridExtra_2.3 gtable_0.3.0 knitr_1.37
+[17] labeling_0.4.2 lattice_0.20-41 lifecycle_1.0.1 magrittr_2.0.1
+[21] munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3 plyr_1.8.6
+[25] purrr_0.3.4 R6_2.5.1 Rcpp_1.0.7 rlang_0.4.12
+[29] scales_1.1.1 tibble_3.1.6 tidyselect_1.1.1 tools_4.0.5
+[33] utf8_1.2.2 vctrs_0.3.8 withr_2.4.3 xfun_0.29
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:16:42
+
+TOTAL TIME LAPSE: 6S
+
+
+
+
+
+################################################################ plot_coverage PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:15:39
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:15:45
+
+
+
+
+TOTAL TIME LAPSE: 6S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script plot_coverage
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_coverage.R,--args,test.fastq2_bowtie2_mini,read_nb_before,2320711 2320942,4627368 4627400,5,Ecoli Genome (bp),test.fastq2,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_coverage_report.txt
+cov test.fastq2_bowtie2_mini
+read_nb read_nb_before
+ori_coord 2320711 2320942
+ter_coord 4627368 4627400
+color_coverage 5
+xlab Ecoli Genome (bp)
+file_name test.fastq2
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log plot_coverage_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 lemon_0.4.5 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 digest_0.6.29 dplyr_1.0.7 ellipsis_0.3.2
+ [9] fansi_0.5.0 farver_2.1.0 generics_0.1.1 glue_1.6.0
+[13] grid_4.0.5 gridExtra_2.3 gtable_0.3.0 knitr_1.37
+[17] labeling_0.4.2 lattice_0.20-41 lifecycle_1.0.1 magrittr_2.0.1
+[21] munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3 plyr_1.8.6
+[25] purrr_0.3.4 R6_2.5.1 Rcpp_1.0.7 rlang_0.4.12
+[29] scales_1.1.1 tibble_3.1.6 tidyselect_1.1.1 tools_4.0.5
+[33] utf8_1.2.2 vctrs_0.3.8 withr_2.4.3 xfun_0.29
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:15:45
+
+TOTAL TIME LAPSE: 6S
+
+
+
+
+
+################################################################ plot_coverage PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:15:54
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:16:00
+
+
+
+
+TOTAL TIME LAPSE: 6S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script plot_coverage
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_coverage.R,--args,test.fastq2_q20_mini,read_nb_after,2320711 2320942,4627368 4627400,5,Ecoli Genome (bp),test.fastq2,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_coverage_report.txt
+cov test.fastq2_q20_mini
+read_nb read_nb_after
+ori_coord 2320711 2320942
+ter_coord 4627368 4627400
+color_coverage 5
+xlab Ecoli Genome (bp)
+file_name test.fastq2
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log plot_coverage_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 lemon_0.4.5 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 digest_0.6.29 dplyr_1.0.7 ellipsis_0.3.2
+ [9] fansi_0.5.0 farver_2.1.0 generics_0.1.1 glue_1.6.0
+[13] grid_4.0.5 gridExtra_2.3 gtable_0.3.0 knitr_1.37
+[17] labeling_0.4.2 lattice_0.20-41 lifecycle_1.0.1 magrittr_2.0.1
+[21] munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3 plyr_1.8.6
+[25] purrr_0.3.4 R6_2.5.1 Rcpp_1.0.7 rlang_0.4.12
+[29] scales_1.1.1 tibble_3.1.6 tidyselect_1.1.1 tools_4.0.5
+[33] utf8_1.2.2 vctrs_0.3.8 withr_2.4.3 xfun_0.29
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:16:00
+
+TOTAL TIME LAPSE: 6S
+
+
+
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_fivep_filtering_stat_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_fivep_filtering_stat_report.txt
similarity index 87%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_fivep_filtering_stat_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_fivep_filtering_stat_report.txt
index 598b8a5c2b7ff06c3d3c657adc2f94fd8728e1bb..ecc34e71e8a03e37f2e1fc14ea7f2d129b27aa12 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_fivep_filtering_stat_report.txt
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_fivep_filtering_stat_report.txt
@@ -12,7 +12,7 @@
-2022-01-08 17:41:15
+2022-01-30 01:15:04
@@ -31,7 +31,7 @@
-END TIME: 2022-01-08 17:41:22
+END TIME: 2022-01-30 01:15:10
@@ -64,8 +64,8 @@ erase.objects TRUE
erase.graphs TRUE
script plot_fivep_filtering_stat
run.way SCRIPT
-command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_fivep_filtering_stat.R,--args,test.fastq2_Nremove_trim_5pAttc_1-51.stat,CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_fivep_filtering_stat_report.txt
-stat test.fastq2_Nremove_trim_5pAttc_1-51.stat
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_fivep_filtering_stat.R,--args,test.fastq2_5pAttc_1-51.stat,CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_fivep_filtering_stat_report.txt
+stat test.fastq2_5pAttc_1-51.stat
attc_seq CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG
cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
log plot_fivep_filtering_stat_report.txt
@@ -115,7 +115,7 @@ loaded via a namespace (and not attached):
################################ JOB END
-TIME: 2022-01-08 17:41:22
+TIME: 2022-01-30 01:15:10
TOTAL TIME LAPSE: 6S
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_insertion_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_insertion_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a21629d6a9cce134034efe6734ba9bccaa0708c3
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_insertion_report.txt
@@ -0,0 +1,142 @@
+
+
+################################################################ plot_insertion PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:27:40
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+ seq pos names fork orient
+1 obs 6278 LAGGING_0 LAGGING FORWARD
+2 obs 47626 LAGGING_0 LAGGING FORWARD
+3 obs 50670 LAGGING_0 LAGGING FORWARD
+4 obs 56949 LAGGING_0 LAGGING FORWARD
+5 obs 79908 LAGGING_0 LAGGING FORWARD
+6 obs 79908 LAGGING_0 LAGGING FORWARD
+
+
+
+
+NUMBER OF OBS POSITIONS:
+1,660
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:27:49
+
+
+
+
+TOTAL TIME LAPSE: 9S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script plot_insertion
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_insertion.R,--args,test.fastq2.pos,2320711 2320942,4627368 4627400,Ecoli Genome (bp),4641652,test.fastq2,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_insertion_report.txt
+pos test.fastq2.pos
+ori_coord 2320711 2320942
+ter_coord 4627368 4627400
+xlab Ecoli Genome (bp)
+genome_size 4641652
+file_name test.fastq2
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log plot_insertion_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 lemon_0.4.5 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 digest_0.6.29 dplyr_1.0.7 ellipsis_0.3.2
+ [9] fansi_0.5.0 farver_2.1.0 generics_0.1.1 glue_1.6.0
+[13] grid_4.0.5 gridExtra_2.3 gtable_0.3.0 knitr_1.37
+[17] labeling_0.4.2 lattice_0.20-41 lifecycle_1.0.1 magrittr_2.0.1
+[21] munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3 plyr_1.8.6
+[25] purrr_0.3.4 R6_2.5.1 Rcpp_1.0.7 rlang_0.4.12
+[29] scales_1.1.1 tibble_3.1.6 tidyselect_1.1.1 tools_4.0.5
+[33] utf8_1.2.2 vctrs_0.3.8 withr_2.4.3 xfun_0.29
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:27:49
+
+TOTAL TIME LAPSE: 9S
+
+
+
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_cutoff_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_cutoff_report.txt
similarity index 87%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_cutoff_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_cutoff_report.txt
index 56f9087bba03726320e14c3b59d297715da954a7..50e12285e5bebb359dbca31e8b984a96f638728f 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_cutoff_report.txt
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_cutoff_report.txt
@@ -12,7 +12,7 @@
-2022-01-08 17:41:55
+2022-01-30 01:27:27
@@ -31,7 +31,7 @@
-END TIME: 2022-01-08 17:42:01
+END TIME: 2022-01-30 01:27:33
@@ -64,8 +64,8 @@ erase.objects TRUE
erase.graphs TRUE
script plot_read_length
run.way SCRIPT
-command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_read_length.R,--args,test.fastq2_Nremove_trim_5pAtccRm_cutoff.length,cutoff,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_read_length_cutoff_report.txt
-length2 test.fastq2_Nremove_trim_5pAtccRm_cutoff.length
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_read_length.R,--args,test.fastq2_cutoff.length,cutoff,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_read_length_cutoff_report.txt
+length2 test.fastq2_cutoff.length
kind cutoff
cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
log plot_read_length_cutoff_report.txt
@@ -115,7 +115,7 @@ loaded via a namespace (and not attached):
################################ JOB END
-TIME: 2022-01-08 17:42:01
+TIME: 2022-01-30 01:27:33
TOTAL TIME LAPSE: 6S
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_fivep_filtering_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_fivep_filtering_report.txt
similarity index 88%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_fivep_filtering_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_fivep_filtering_report.txt
index 2a97ac12c449032697fbb450321194db1e459457..53715e34b21ad0fbb2cfe329d6e7735e9c437d0e 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_fivep_filtering_report.txt
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_fivep_filtering_report.txt
@@ -12,7 +12,7 @@
-2022-01-08 17:41:41
+2022-01-30 01:27:14
@@ -31,7 +31,7 @@
-END TIME: 2022-01-08 17:41:47
+END TIME: 2022-01-30 01:27:20
@@ -64,8 +64,8 @@ erase.objects TRUE
erase.graphs TRUE
script plot_read_length
run.way SCRIPT
-command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_read_length.R,--args,test.fastq2_Nremove_trim_5pAttc.length,fivep_filtering,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_read_length_fivep_filtering_report.txt
-length2 test.fastq2_Nremove_trim_5pAttc.length
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_read_length.R,--args,test.fastq2_5pAttc.length,fivep_filtering,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_read_length_fivep_filtering_report.txt
+length2 test.fastq2_5pAttc.length
kind fivep_filtering
cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
log plot_read_length_fivep_filtering_report.txt
@@ -115,7 +115,7 @@ loaded via a namespace (and not attached):
################################ JOB END
-TIME: 2022-01-08 17:41:47
+TIME: 2022-01-30 01:27:20
TOTAL TIME LAPSE: 6S
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_ini_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_ini_report.txt
similarity index 88%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_ini_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_ini_report.txt
index e7076e7aab0266945b5d0f3bd106560109eeb090..4625d781b0116d76a4edaac920898ae4ae587d38 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/plot_read_length_ini_report.txt
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/plot_read_length_ini_report.txt
@@ -12,7 +12,7 @@
-2022-01-08 17:41:29
+2022-01-30 01:27:01
@@ -31,7 +31,7 @@
-END TIME: 2022-01-08 17:41:35
+END TIME: 2022-01-30 01:27:07
@@ -64,8 +64,8 @@ erase.objects TRUE
erase.graphs TRUE
script plot_read_length
run.way SCRIPT
-command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_read_length.R,--args,test.fastq2_Nremove_trim_ini.length,ini,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_read_length_ini_report.txt
-length2 test.fastq2_Nremove_trim_ini.length
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/plot_read_length.R,--args,test.fastq2_ini.length,ini,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,plot_read_length_ini_report.txt
+length2 test.fastq2_ini.length
kind ini
cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
log plot_read_length_ini_report.txt
@@ -115,7 +115,7 @@ loaded via a namespace (and not attached):
################################ JOB END
-TIME: 2022-01-08 17:41:35
+TIME: 2022-01-30 01:27:07
TOTAL TIME LAPSE: 6S
diff --git a/example_of_result/20211201_res_CL14985_test_1641660055/reports/print_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/print_report.txt
similarity index 91%
rename from example_of_result/20211201_res_CL14985_test_1641660055/reports/print_report.txt
rename to example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/print_report.txt
index fbacf711d2984e139685dd807da7cd42c728f076..c892e4e84c5a1b51ffbe1eda5d5deb211328a775 100644
--- a/example_of_result/20211201_res_CL14985_test_1641660055/reports/print_report.txt
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/print_report.txt
@@ -12,7 +12,7 @@
-2022-01-08 17:42:18
+2022-01-30 01:32:13
@@ -31,12 +31,12 @@
-END TIME: 2022-01-08 17:42:21
+END TIME: 2022-01-30 01:32:17
-TOTAL TIME LAPSE: 3S
+TOTAL TIME LAPSE: 4S
@@ -64,9 +64,9 @@ erase.objects TRUE
erase.graphs TRUE
script print_report
run.way SCRIPT
-command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/print_report.R,--args,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,report.rmd,print_report.txt
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/print_report.R,--args,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,report_file.rmd,print_report.txt
cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
-report report.rmd
+report report_file.rmd
log print_report.txt
@@ -113,9 +113,9 @@ loaded via a namespace (and not attached):
################################ JOB END
-TIME: 2022-01-08 17:42:21
+TIME: 2022-01-30 01:32:17
-TOTAL TIME LAPSE: 3S
+TOTAL TIME LAPSE: 4S
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/q20_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/q20_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/report.rmd b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/report.rmd
new file mode 100644
index 0000000000000000000000000000000000000000..9d063a2acf3014b989e0517be80536a1ff800bab
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/report.rmd
@@ -0,0 +1,544 @@
+---
+title: 'Insertion Sites Report'
+author: 'Gael Millot'
+date: ''
+output:
+ html_document:
+ toc: TRUE
+ toc_float: TRUE
+---
+
+\n\n<br /><br />\n\n
+
+<br /><br />
+
+### Removal for reads made of N only
+
+
+
+
+Number of sequences before removing reads with only N: 10,000
+
+Number of sequences after removing reads with only N: 8,932
+
+Ratio:
+0.89
+
+
+
+<br /><br />
+
+### Trim of the read for the primer parts
+
+
+AlienTrimmer main options: -k 10 -l 30 -m 5 -q 20 -p 0 (Phred+33) / 26 alien sequence(s) / 810 k-mers (k=10)
+<br />[00:00] 8,932 reads processed: 4,767 trimmed 223 removed
+<br /><br />AlienTrimmer also removes reads according to quality criteria
+
+Number of sequence before trimming: 8,932
+
+Number of sequences after trimming: 8,709
+
+Ratio:
+0.98
+
+
+
+
+
+<br /><br />
+
+### Read QC n°1
+
+
+Results are published in the [fastQC1](./fastQC1) folder
+
+
+Analysis complete for test.fastq2_trim.fq
+<br /><br />
+
+### Selection of reads with the attC in 5'
+
+
+
+
+
+Number of sequences before 5' filtering using ^CAATTCATTCAAGCCGACGCCGCTTCGCGGCGCGGCTTAATTCAAGCG.+$: 8,709
+
+Number of sequences after 5' filtering: 4,391
+
+Ratio:
+0.50
+
+
+
+Length of the expected attC sequence at the 5' part of reads: 48
+
+
+Number of bases added after the expected attC sequence at the 5' part of reads, for graphical purpose: 3
+
+
+
+
+
+Nucleotide frequencies of the 5' part of reads:\n\n<br /><br />\n\n
+
+```{r, echo = FALSE}
+tempo <- read.table('./files/test.fastq2_5pAttc_1-51.stat', header = TRUE, row.names = 1, colClasses = 'character', sep = '\t', check.names = FALSE) ;
+kableExtra::kable_styling(knitr::kable(head(tempo), row.names = TRUE, digits = 2, caption = 'Frequencies of bases according to positions starting at the 5\' of reads', format='html'), c('striped', 'bordered', 'responsive'), font_size=12)
+```
+\n\n<br /><br />\n\n
+
+
+
+
+<br /><br />
+
+### Base frequencies at the 5' extremity of reads
+
+
+
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+
+<br /><br />
+
+### Length of initial reads
+
+
+
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+
+<br /><br />
+
+### Length of reads after selection of attC in 5 prime
+
+
+
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+<br /><br />
+
+### Selection of reads over 25 bases
+
+
+
+
+Number of sequences before cutoff at 25 nucleotids: 4,391
+
+Number of sequences after cutoff at 25 nucleotids: 3,742
+
+Ratio:
+0.85
+
+
+
+
+
+
+<br /><br />
+
+### Read length after cut-off
+
+
+
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+<br /><br />
+
+### Read QC n°2
+
+
+Results are published in the [fastQC2](./fastQC2) folder
+
+
+Analysis complete for test.fastq2_5pAtccRm.fq
+
+
+<br /><br />
+
+### Bowtie2 alignment
+
+
+Time loading reference: 00:00:00
+<br />Time loading forward index: 00:00:00
+<br />Time loading mirror index: 00:00:00
+<br />Multiseed full-index search: 00:00:00
+<br />3742 reads; of these:
+<br /> 3742 (100.00%) were unpaired; of these:
+<br /> 1240 (33.14%) aligned 0 times
+<br /> 2308 (61.68%) aligned exactly 1 time
+<br /> 194 (5.18%) aligned >1 times
+<br />66.86% overall alignment rate
+<br />Time searching: 00:00:00
+<br />Overall time: 00:00:00
+
+
+<br /><br />
+
+### Q20 filtering
+
+
+
+
+Number of sequences before Q20 filtering: 3,742
+
+
+
+Number of sequences after Q20 filtering: 2,182
+
+Ratio:
+0.58
+
+
+
+
+
+<br /><br />
+
+### Control that no more soft clipping in reads
+
+
+nb of reads with soft clipping (S) in CIGAR: 0
+
+
+total nb of reads: 2,182
+<br /><br />
+
+### Removal of duplicates using the 5\' and 3\' coordinates
+
+
+
+
+Number of sequences before removing duplicates: 2,182
+
+Number of sequences after removing duplicates: 1,660
+
+Ratio:
+0.76
+
+
+
+
+
+
+<br /><br />
+
+### Read coverage
+
+Of note: process is parallelized at that stage (three channels).
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+<br /><br />
+
+### Insertion positions
+
+
+
+
+One of the step is to correct insertion site read extremity for the reverse reads. It Consist in the redefinition of POS according to FLAG. See the [insertion_report.txt](./reports/insertion_report.txt) file in the reports folders for details
+
+
+
+
+Number of reads used for insertion computation: 1,660
+
+
+
+Number of insertions: 1,660
+
+Ratio:
+1.00
+
+
+
+
+
+<br /><br />
+
+### Insertion plots
+
+
+
+
+Number of different positions: 1,660
+
+
+
+See the CL Labbook section 24.7.3 to explain the limitation around 100 bp
+
+
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+<br /><br />
+
+
+{width=600}
+
+
+</center>
+
+<br /><br />
+
+
+{width=600}
+
+
+</center>
+
+<br /><br />
+
+
+{width=600}
+
+
+</center>
+
+<br /><br />
+
+
+
+
+
+<br /><br />
+
+### Sequences around insertion sites
+
+
+
+
+<br /><br />
+
+In each sequence of length 40 <br />position 21 corresponds to the first nucleotide of the reference genome part of the read
+
+
+
+<br /><br />
+
+### Logos
+
+
+
+
+<br /><br />
+
+Of note: process is parallelized at that stage (four channels).
+
+
+<br /><br />
+
+In each sequence of length 40 <br />position 21 corresponds to the first nucleotide of the reference genome part of the read
+
+
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+
+<br /><br />
+
+</center>
+
+
+{width=600}
+
+
+</center>
+
+
+
+
+
+<br /><br />
+
+### Backup
+
+
+See the [reports](./reports) folder for all the details of the analysis, including the parameters used in the .config file
+
+
+<br /><br />
+
+Full .nextflow.log is in: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />The one in the [reports](./reports) folder is not complete (miss the end)
+
+
+<br /><br />
+
+### Workflow Version
+
+
+Project (empty means no .git folder where the main.nf file is present): loot https://gitlab.pasteur.fr/gmillot/14985_loot (fetch)
+<br />Git info (empty means no .git folder where the main.nf file is present): v7.3.0-1-g85eea35b6c-dirty
+<br />Cmd line: nextflow run main.nf -resume
+<br />execution mode: local
+<br />Manifest's pipeline version: null
+<br />result path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/results/20220120_res_CL14985_B4985_4_1643502720
+<br />nextflow version: 21.04.2
+
+
+<br /><br />
+
+IMPLICIT VARIABLES:
+
+launchDir (directory where the workflow is run): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />
+projectDir (directory where the main.nf script is located): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot<br />
+workDir (directory where tasks temporary files are created): /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/work
+
+
+<br /><br />
+
+USER VARIABLES:<br />
+
+out_path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/results/20220120_res_CL14985_B4985_4_1643502720<br />
+in_path: /mnt/c/Users/Gael/Documents/Git_projects/14985_loot/dataset
+
+
+<br /><br />
+
+WORKFLOW DIAGRAM:<br />
+
+See the [nf_dag.png](./reports/nf_dag.png) file
diff --git a/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/seq_around_insertion_report.txt b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/seq_around_insertion_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a7f63f80646d92c1150acae99f135fad82b92d5a
--- /dev/null
+++ b/example_of_result/20220120_res_CL14985_B4985_4_1643502720/reports/seq_around_insertion_report.txt
@@ -0,0 +1,126 @@
+
+
+################################################################ seq_around_insertion PROCESS
+
+
+
+
+
+
+################################ RUNNING DATE AND STARTING TIME
+
+
+
+
+2022-01-30 01:16:25
+
+
+
+
+
+
+################################ RUNNING
+
+
+
+
+
+
+################################ RUNNING END
+
+
+
+
+END TIME: 2022-01-30 01:16:25
+
+
+
+
+TOTAL TIME LAPSE: 0S
+
+
+
+
+ALL DATA SAVED IN all_objects.RData
+
+
+
+
+################################ RECAPITULATION OF WARNING MESSAGES
+
+
+
+
+NO WARNING MESSAGE TO REPORT
+
+
+
+
+################################ INITIAL SETTINGS OF PARAMETERS
+
+
+
+erase.objects TRUE
+erase.graphs TRUE
+script seq_around_insertion
+run.way SCRIPT
+command /usr/lib/R/bin/exec/R,--no-echo,--no-restore,--file=/mnt/c/Users/Gael/Documents/Git_projects/14985_loot/bin/seq_around_insertion.R,--args,test.fastq2.pos,2320711 2320942,4627368 4627400,20,test.fastq2,https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R,seq_around_insertion_report.txt
+pos test.fastq2.pos
+ori_coord 2320711 2320942
+ter_coord 4627368 4627400
+insertion_dist 20
+file_name test.fastq2
+cute https://gitlab.pasteur.fr/gmillot/cute_little_R_functions/-/raw/v10.9.0/cute_little_R_functions.R
+log seq_around_insertion_report.txt
+
+
+
+
+################################ R SYSTEM AND PACKAGES
+
+
+R version 4.0.5 (2021-03-31)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux bullseye/sid
+
+Matrix products: default
+BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
+ [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
+ [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
+ [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
+ [9] LC_ADDRESS=C LC_TELEPHONE=C
+[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
+
+attached base packages:
+[1] stats graphics grDevices utils datasets methods base
+
+other attached packages:
+[1] ggplot2_3.3.3 lemon_0.4.5 lubridate_1.8.0
+
+loaded via a namespace (and not attached):
+ [1] assertthat_0.2.1 colorspace_2.0-2 compiler_4.0.5 crayon_1.4.2
+ [5] DBI_1.1.2 dplyr_1.0.7 ellipsis_0.3.2 fansi_0.5.0
+ [9] generics_0.1.1 glue_1.6.0 grid_4.0.5 gridExtra_2.3
+[13] gtable_0.3.0 knitr_1.37 lattice_0.20-41 lifecycle_1.0.1
+[17] magrittr_2.0.1 munsell_0.5.0 pillar_1.6.4 pkgconfig_2.0.3
+[21] plyr_1.8.6 purrr_0.3.4 R6_2.5.1 Rcpp_1.0.7
+[25] rlang_0.4.12 scales_1.1.1 tibble_3.1.6 tidyselect_1.1.1
+[29] tools_4.0.5 utf8_1.2.2 vctrs_0.3.8 withr_2.4.3
+[33] xfun_0.29
+
+
+
+
+
+################################ JOB END
+
+TIME: 2022-01-30 01:16:25
+
+TOTAL TIME LAPSE: 0S
+
+
+
diff --git a/main.nf b/main.nf
index 0caac314ec81475ed607c852985365ea1edeeb64..0edd39ad589dbb4cb60b5d2c4b6d3032bfa333d7 100755
--- a/main.nf
+++ b/main.nf
@@ -29,12 +29,6 @@ ref_name = file("${ref_path}/${ref_file}").baseName
primer = file(primer_fasta)
ref = file("${ref_path}/${ref_file}")
sum_of_2_nb = fivep_seq_nb.toInteger()+added_nb.toInteger()
-categ = Channel.from("leading0", "leading16", "lagging0", "lagging16")
-grep_pattern = Channel.from("LEADING_0", "LEADING_16", "LAGGING_0", "LAGGING_16")
-
-
-
-
modules = params.modules // remove the dot -> can be used in bash scripts
//////// end Variables
@@ -52,6 +46,7 @@ ref_ch_test = file("${ref_path}/${ref_file}") // to test if exist below
//////// Channels
fastq_ch = Channel.fromPath("${in_path}/${fastq_file}", checkIfExists: false) // I could use true, but I prefer to perform the check below, in order to have a more explicit error message
+grep_pattern_ch = Channel.from("LEADING_0", "LEADING_16", "LAGGING_0", "LAGGING_16")
//////// end Channels
@@ -99,7 +94,7 @@ process init {
toc_float: TRUE
---
- <br /><br />
+ \\n\\n<br /><br />\\n\\n
" > report.rmd
"""
}
@@ -164,8 +159,8 @@ process fastqc1 { // section 8.5 of the labbook 20200520
script:
"""
- echo -e "<br /><br />\n\n### Read QC n°1\n\n" > report.rmd
- echo -e "Results are published in the [fastQC1](./fastQC1) folder\n\n" >> report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Read QC n°1\\n\\n" > report.rmd
+ echo -e "Results are published in the [fastQC1](./fastQC1) folder\\n\\n" >> report.rmd
fastqc ${fq} | tee tempo.txt
cat tempo.txt >> report.rmd
"""
@@ -197,13 +192,13 @@ process fivep_filtering { // section 8.6 to 8.13 of the labbook 20200520. Instea
script:
"""
fivep_filtering.sh ${fq} "${file_name}" "${fivep_seq_filtering}" ${fivep_seq_nb} ${added_nb} ${sum_of_2_nb} "${attc_seq}" "report.rmd"
- echo "Nucleotide frequencies of the 5\' part of reads:<br /><br />" >> report.rmd
+ echo "Nucleotide frequencies of the 5\' part of reads:\\n\\n<br /><br />\\n\\n" >> report.rmd
echo "
\\`\\`\\`{r, echo = FALSE}
tempo <- read.table('./files/${file_name}_5pAttc_1-${sum_of_2_nb}.stat', header = TRUE, row.names = 1, colClasses = 'character', sep = '\\t', check.names = FALSE) ;
kableExtra::kable_styling(knitr::kable(head(tempo), row.names = TRUE, digits = 2, caption = 'Frequencies of bases according to positions starting at the 5\\' of reads', format='html'), c('striped', 'bordered', 'responsive'), font_size=12)
\\`\\`\\`
-<br /><br />
+\\n\\n<br /><br />\\n\\n
" >> report.rmd
"""
// for nice tables in knitted documents, see https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html
@@ -231,10 +226,10 @@ process plot_fivep_filtering_stat { // section 8.7 to 8.11 of the labbook 202005
script:
"""
echo -e "
-<br /><br />\\n\\n### Base frequencies at the 5\' extremity of reads\\n\\n
-<center>
+\\n\\n<br /><br />\\n\\n### Base frequencies at the 5\' extremity of reads\\n\\n
+\\n\\n</center>\\n\\n
{width=600}
-</center>
+\\n\\n</center>\\n\\n
" > report.rmd
plot_fivep_filtering_stat.R "${stat}" "${attc_seq}" "${cute_path}" "plot_fivep_filtering_stat_report.txt"
"""
@@ -262,10 +257,10 @@ process plot_read_length_ini { // section 8.8 of the labbook 20200520
script:
"""
echo -e '
-<br /><br />\\n\\n### Length of initial reads\\n\\n
-<center>
-{width=600}
-</center>
+\\n\\n<br /><br />\\n\\n### Length of initial reads\\n\\n
+\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n
' > report.rmd
plot_read_length.R "${length}" "ini" "${cute_path}" "plot_read_length_ini_report.txt"
"""
@@ -291,10 +286,10 @@ process plot_read_length_fivep_filtering { // section 8.12 of the labbook 202005
script:
"""
echo -e '
-<br /><br />\\n\\n### Length of reads after selection of attC in 5 prime \\n\\n
-<center>
-{width=600}
-</center>
+\\n\\n<br /><br />\\n\\n### Length of reads after selection of attC in 5 prime \\n\\n
+\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n
' > report.rmd
plot_read_length.R "${length}" "fivep_filtering" "${cute_path}" "plot_read_length_fivep_filtering_report.txt"
"""
@@ -341,10 +336,10 @@ process plot_read_length_cutoff { // section 8.17 of the labbook 20200520
script:
"""
echo -e '
-<br /><br />\\n\\n### Read length after cut-off\\n\\n
-<center>
-{width=600}
-</center>
+\\n\\n<br /><br />\\n\\n### Read length after cut-off\\n\\n
+\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n
' > report.rmd
plot_read_length.R "${length}" "cutoff" "${cute_path}" "plot_read_length_cutoff_report.txt"
"""
@@ -367,7 +362,7 @@ process fastqc2 { // section 8.14 of the labbook 20200520
script:
"""
- echo -e "<br /><br />\\n\\n### Read QC n°2\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Read QC n°2\\n\\n" > report.rmd
echo -e "Results are published in the [fastQC2](./fastQC2) folder\\n\\n" >> report.rmd
fastqc ${fq} | tee tempo.txt
cat tempo.txt >> report.rmd
@@ -394,17 +389,17 @@ process bowtie2 { // section 24.1 of the labbook 20200707
script:
"""
- echo -e "<br /><br />\\n\\n### Bowtie2 indexing of the reference sequence\\n\\n" >> bowtie2_report.txt
+ echo -e "\\n\\n<br /><br />\\n\\n### Bowtie2 indexing of the reference sequence\\n\\n" >> bowtie2_report.txt
bowtie2-build ${ref} ${ref_name} |& tee -a bowtie2_report.txt
- echo -e "<br /><br />\\n\\n### Bowtie2 alignment\\n\\n" > report.rmd
- echo -e "<br /><br />\\n\\n### Bowtie2 alignment\\n\\n" >> bowtie2_report.txt
+ echo -e "\\n\\n<br /><br />\\n\\n### Bowtie2 alignment\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Bowtie2 alignment\\n\\n" >> bowtie2_report.txt
bowtie2 --very-sensitive -x ${ref_name} -U ${fq} -t -S ${file_name}_bowtie2.sam |& tee -a tempo.txt
# --very-sensitive: no soft clipping allowed and very sensitive seed alignment
# -t time displayed
cat tempo.txt >> bowtie2_report.txt
sed -i -e ':a;N;\$!ba;s/\\n/\\n<br \\/>/g' tempo.txt
cat tempo.txt >> report.rmd
- echo -e "<br /><br />\\n\\n#### samtools conversion\\n\\n" >> bowtie2_report.txt
+ echo -e "\\n\\n<br /><br />\\n\\n#### samtools conversion\\n\\n" >> bowtie2_report.txt
# samtools faidx ${ref}
samtools view -bh -o tempo.bam ${file_name}_bowtie2.sam |& tee -a bowtie2_report.txt
samtools sort -o ${file_name}_bowtie2.bam tempo.bam |& tee -a bowtie2_report.txt
@@ -452,7 +447,7 @@ process Q20 { // section 24.2 of the labbook 20200707
"""
samtools view -q 20 -b ${bam} > ${file_name}_q20.bam |& tee q20_report.txt
samtools index ${file_name}_q20.bam
- echo -e "<br /><br />\\n\\n### Q20 filtering\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Q20 filtering\\n\\n" > report.rmd
read_nb_before=\$(samtools view ${bam} | wc -l | cut -f1 -d' ') # -h to add the header
read_nb_after=\$(samtools view ${file_name}_q20.bam | wc -l | cut -f1 -d' ') # -h to add the header
echo -e "\\n\\nNumber of sequences before Q20 filtering: \$(printf "%'d" \${read_nb_before})\\n" >> report.rmd
@@ -478,7 +473,7 @@ process no_soft_clipping { // section 24.4 of the labbook 20200707
script:
"""
- echo -e "<br /><br />\\n\\n### Control that no more soft clipping in reads\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Control that no more soft clipping in reads\\n\\n" > report.rmd
echo -e "nb of reads with soft clipping (S) in CIGAR: \$(printf "%'d" \$(samtools view ${bam} | awk '\$6 ~ /.*[S].*/{print \$0}' | wc -l | cut -f1 -d' '))" >> report.rmd
echo -e "\\n\\ntotal nb of reads: \$(printf "%'d" \$(samtools view ${bam} | wc -l | cut -f1 -d' '))" >> report.rmd
"""
@@ -524,14 +519,14 @@ process report1 {
script:
"""
echo -e '
-<br /><br />\\n\\n### Read coverage\\n\\nOf note: process is parallelized at that stage (three channels).
-<br /><br /><center>
-{width=600}
-</center><br /><br /><center>
-{width=600}
-</center><br /><br /><center>
-{width=600}
-</center>
+\\n\\n<br /><br />\\n\\n### Read coverage\\n\\nOf note: process is parallelized at that stage (three channels).
+\\n\\n<br /><br />\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n<br /><br />\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n<br /><br />\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n
' > report.rmd
"""
}
@@ -615,7 +610,7 @@ process insertion { // section 24.7 of the labbook 20200707
script:
"""
- echo -e "<br /><br />\\n\\n### Insertion positions\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Insertion positions\\n\\n" > report.rmd
echo -e "\\n\\nOne of the step is to correct insertion site read extremity for the reverse reads. It Consist in the redefinition of POS according to FLAG. See the [insertion_report.txt](./reports/insertion_report.txt) file in the reports folders for details\\n\\n" >> report.rmd
# extraction of bam column 2, 4 and 10, i.e., FALG, POS and SEQ
samtools view ${bam} | awk 'BEGIN{FS="\\t" ; OFS="" ; ORS=""}{print ">"\$2"\\t"\$4"\\n"\$10"\\n" }' > tempo
@@ -667,21 +662,21 @@ process plot_insertion { // sections 24.7.2, 44.1 and 45.1 of the labbook 202005
script:
"""
- echo -e "<br /><br />\\n\\n### Insertion plots\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Insertion plots\\n\\n" > report.rmd
plot_insertion.R "${pos}" "${ori_coord}" "${ter_coord}" "${xlab}" "${genome_size}" "${file_name}" "${cute_path}" "plot_insertion_report.txt"
pos_nb=\$(wc -l ${file_name}.pos | cut -f1 -d' ')
echo -e "\\n\\nNumber of different positions: \$(printf "%'d" \${pos_nb})\\n" >> report.rmd
echo -e "\\n\\nSee the CL Labbook section 24.7.3 to explain the limitation around 100 bp\\n" >> report.rmd
echo -e '
-<br /><br /><center>
-{width=600}
-</center><br /><br />
-{width=600}
-</center><br /><br />
-{width=600}
-</center><br /><br />
-{width=600}
-</center><br /><br />
+\\n\\n<br /><br />\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n<br /><br />\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n<br /><br />\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n<br /><br />\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n<br /><br />\\n\\n
' >> report.rmd
"""
// single quotes required because of the !
@@ -708,9 +703,9 @@ process seq_around_insertion { // sections 24.9.1 of the labbook 20200707
script:
"""
- echo -e "<br /><br />\\n\\n### Sequences around insertion sites\\n\\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Sequences around insertion sites\\n\\n" > report.rmd
seq_around_insertion.R "${pos}" "${ori_coord}" "${ter_coord}" "${insertion_dist}" "${file_name}" "${cute_path}" "seq_around_insertion_report.txt"
- echo -e "<br /><br />\\n\\nIn each sequence of length \$((${insertion_dist} * 2)) <br />position \$((${insertion_dist} + 1)) corresponds to the first nucleotide of the coli part of the read" >> report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\nIn each sequence of length \$((${insertion_dist} * 2)) <br />position \$((${insertion_dist} + 1)) corresponds to the first nucleotide of the reference genome part of the read" >> report.rmd
"""
// single quotes required because of the !
}
@@ -734,7 +729,7 @@ process extract_seq { // section 24.9.2 of the labbook 20200707
script:
"""
- # make a bed file from Ecoli genome
+ # make a bed file from the reference genome
echo ">ref" > tempo.ref.fasta
awk '{lineKind=(NR-1)%2}lineKind==1{print \$0}' ${ref} >> tempo.ref.fasta |& tee extract_seq_report.txt
bedtools getfasta -fi tempo.ref.fasta -bed ${bed} -fo "${bed.baseName}.fasta" -name |& tee extract_seq_report.txt
@@ -753,13 +748,13 @@ process base_freq { // section 24.9.2 of the labbook 20200707
input:
val file_name
- tuple val("categ"), val("grep_pattern") from categ.spread(grep_pattern)
+ val grep_pattern from grep_pattern_ch
file fasta from extract_seq_ch.first()
file ref
output:
- file "${file_name}_${categ}.seq" into base_freq_seq_ch
- file "${file_name}_${categ}.stat" into base_freq_stat_ch
+ file "${file_name}_${grep_pattern}.seq" into base_freq_seq_ch
+ file "${file_name}_${grep_pattern}.stat" into base_freq_stat_ch1, base_freq_stat_ch2, base_freq_stat_ch3
file "base_freq_report.txt"
script:
@@ -769,7 +764,7 @@ process base_freq { // section 24.9.2 of the labbook 20200707
{lineKind=(NR-1)%2}
lineKind==0{toGet=(\$0 ~ ">" var1) ; next}
lineKind==1{if(toGet){print \$0}}
- ' ${fasta} > ${file_name}_${categ}.seq |& tee base_freq_report.txt
+ ' ${fasta} > ${file_name}_${grep_pattern}.seq |& tee base_freq_report.txt
# ATGC contingency
gawk '{
L=length(\$0);
@@ -791,12 +786,97 @@ process base_freq { // section 24.9.2 of the labbook 20200707
}
printf("\\n");
}
- }' ${file_name}_${categ}.seq > ${file_name}_${categ}.stat |& tee base_freq_report.txt
+ }' ${file_name}_${grep_pattern}.seq > ${file_name}_${grep_pattern}.stat |& tee base_freq_report.txt
+ """
+}
+
+
+process report2 {
+ label 'bash'
+ cache 'false'
+
+ input:
+ val files from base_freq_stat_ch1.collect() // warning: several files
+ val insertion_dist
+
+ output:
+ file "report.rmd" into log_ch19
+
+ script:
+ """
+ echo -e "
+\\n\\n<br /><br />\\n\\n### Logos\\n\\n
+\\n\\n<br /><br />\\n\\nOf note: process is parallelized at that stage (four channels).
+\\n\\n<br /><br />\\n\\nIn each sequence of length \$((${insertion_dist} * 2)) <br />position \$((${insertion_dist} + 1)) corresponds to the first nucleotide of the reference genome part of the read
+" > report.rmd
+ count=0
+ for i in \$(echo ${files.baseName} | sed 's/^\\[//' | sed 's/\\]\$//' | sed 's/,//g') ; do
+ echo -e '
+\\n\\n<br /><br />\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n
+ ' >> report.rmd
+ count=\$((count + 1))
+ done
+ """
+}
+
+
+process logo { // 24.9.3 of the labbook 20200707
+ label 'r_ext' // see the withLabel: bash in the nextflow config file
+ publishDir "${out_path}/figures", mode: 'copy', pattern: "{*.png}", overwrite: false
+ publishDir "${out_path}/reports", mode: 'copy', pattern: "{logo_report.txt}", overwrite: false //
+ cache 'true'
+
+ input:
+ file freq from base_freq_stat_ch2
+ val insertion_dist
+ val cute_path
+
+ output:
+ file "*.png" into fig_ch7 // warning: 4 files
+ file "logo_report.txt"
+
+ script:
+ """
+ logo.R "${freq}" ${insertion_dist} "${cute_path}" "logo_report.txt"
+ """
+ // single quotes required because of the !
+}
+
+process global_logo { // 24.9.3 of the labbook 20200707
+ label 'r_ext' // see the withLabel: bash in the nextflow config file
+ publishDir "${out_path}/figures", mode: 'copy', pattern: "{*.png}", overwrite: false
+ publishDir "${out_path}/reports", mode: 'copy', pattern: "{global_logo_report.txt}", overwrite: false //
+ cache 'true'
+
+ input:
+ val file_name
+ file freq from base_freq_stat_ch3.collect() // warning: several files
+ val insertion_dist
+ val cute_path
+
+ output:
+ file "global_logo_${file_name}.png" into fig_ch8
+ file "global_logo_report.txt"
+ file "report.rmd" into log_ch20
+
+ script:
"""
+ global_logo.R "${freq}" ${file_name} ${insertion_dist} "${cute_path}" "global_logo_report.txt"
+ echo -e '
+\\n\\n<br /><br />\\n\\n</center>\\n\\n
+{width=600}
+\\n\\n</center>\\n\\n
+ ' >> report.rmd
+ """
+ // single quotes required because of the !
}
+
+
process backup {
label 'bash' // see the withLabel: bash in the nextflow config file
publishDir "${out_path}/reports", mode: 'copy', pattern: "{*.config,*.log}", overwrite: false // since I am in mode copy, all the output files will be copied into the publishDir. See \\wsl$\Ubuntu-20.04\home\gael\work\aa\a0e9a739acae026fb205bc3fc21f9b
@@ -809,13 +889,13 @@ process backup {
output:
file "${config_file}" // warning message if we use file config_file
file "${log_file}" // warning message if we use file log_file
- file "report.rmd" into log_ch19
+ file "report.rmd" into log_ch21
script:
"""
- echo -e "<br /><br />\n\n### Backup\n\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Backup\\n\\n" > report.rmd
echo -e "See the [reports](./reports) folder for all the details of the analysis, including the parameters used in the .config file" >> report.rmd
- echo -e "<br /><br />Full .nextflow.log is in: ${launchDir}<br />The one in the [reports](./reports) folder is not complete (miss the end)" >> report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\nFull .nextflow.log is in: ${launchDir}<br />The one in the [reports](./reports) folder is not complete (miss the end)" >> report.rmd
"""
}
@@ -825,11 +905,11 @@ process workflowVersion { // create a file with the workflow version in out_path
cache 'false'
output:
- file "report.rmd" into log_ch20
+ file "report.rmd" into log_ch22
script:
"""
- echo -e "<br /><br />\n\n### Workflow Version\n\n" > report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\n### Workflow Version\\n\\n" > report.rmd
echo "Project (empty means no .git folder where the main.nf file is present): " \$(git -C ${projectDir} remote -v | head -n 1) >> report.rmd # works only if the main script run is located in a directory that has a .git folder, i.e., that is connected to a distant repo
echo "<br />Git info (empty means no .git folder where the main.nf file is present): " \$(git -C ${projectDir} describe --abbrev=10 --dirty --always --tags) >> report.rmd # idem. Provide the small commit number of the script and nextflow.config used in the execution
echo "<br />Cmd line: ${workflow.commandLine}" >> report.rmd
@@ -841,9 +921,9 @@ process workflowVersion { // create a file with the workflow version in out_path
echo "<br />Manifest's pipeline version: ${workflow.manifest.version}" >> report.rmd
echo "<br />result path: ${out_path}" >> report.rmd
echo "<br />nextflow version: ${nextflow.version}" >> report.rmd
- echo -e "<br /><br />\\n\\nIMPLICIT VARIABLES:\\n\\nlaunchDir (directory where the workflow is run): ${launchDir}<br />\\nprojectDir (directory where the main.nf script is located): ${projectDir}<br />\\nworkDir (directory where tasks temporary files are created): ${workDir}" >> report.rmd
- echo -e "<br /><br />\\n\\nUSER VARIABLES:<br />\\n\\nout_path: ${out_path}<br />\\nin_path: ${in_path}" >> report.rmd
- echo -e "<br /><br />\\n\\nWORKFLOW DIAGRAM:<br />\\n\\nSee the [nf_dag.png](./reports/nf_dag.png) file" >> report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\nIMPLICIT VARIABLES:\\n\\nlaunchDir (directory where the workflow is run): ${launchDir}<br />\\nprojectDir (directory where the main.nf script is located): ${projectDir}<br />\\nworkDir (directory where tasks temporary files are created): ${workDir}" >> report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\nUSER VARIABLES:<br />\\n\\nout_path: ${out_path}<br />\\nin_path: ${in_path}" >> report.rmd
+ echo -e "\\n\\n<br /><br />\\n\\nWORKFLOW DIAGRAM:<br />\\n\\nSee the [nf_dag.png](./reports/nf_dag.png) file" >> report.rmd
"""
}
//${projectDir} nextflow variable
@@ -861,7 +941,7 @@ process print_report { // section 8.8 of the labbook 20200520
input:
val file_name
val cute_path
- file report from log_ch0.concat(log_ch1,log_ch2, log_ch3, log_ch4, log_ch5, log_ch6, log_ch7, log_ch8, log_ch9, log_ch10, log_ch11, log_ch12, log_ch13, log_ch14, log_ch15, log_ch16, log_ch17, log_ch18, log_ch19).collectFile(name: 'report.rmd', sort: false)
+ file report from log_ch0.concat(log_ch1,log_ch2, log_ch3, log_ch4, log_ch5, log_ch6, log_ch7, log_ch8, log_ch9, log_ch10, log_ch11, log_ch12, log_ch13, log_ch14, log_ch15, log_ch16, log_ch17, log_ch18, log_ch19, log_ch20, log_ch21, log_ch22).collectFile(name: 'report.rmd', sort: false)
tuple val ("stat_tempo_name"), file ("stat_tempo") from stat_fastq_5p_filter_ch2
file "plot_fivep_filtering_stat" from fig_ch1
file "plot_read_length_ini" from fig_ch2.first()
@@ -869,6 +949,8 @@ process print_report { // section 8.8 of the labbook 20200520
file "plot_read_length_cutoff" from fig_ch4
file png from fig_ch5.collect() // warning: several files
file png2 from fig_ch6.collect() // warning: several files
+ file png3 from fig_ch7.collect() // warning: several files
+ file "global_logo" from fig_ch8
output:
file "report.html"
@@ -888,6 +970,9 @@ process print_report { // section 8.8 of the labbook 20200520
cp ${plot_read_length_cutoff} ./figures/plot_read_length_cutoff.png
cp ${png} ./figures/ # Warning several files are copied using their initial names, i.e., the names they have in each work folders of the plot_coverage process
cp ${png2} ./figures/ # Warning several files
+ cp ${png3} ./figures/ # Warning several files
+ cp ${global_logo} ./figures/global_logo_${file_name}.png
+
cp ${plot_read_length_cutoff} ./reports/nf_dag.png # trick to delude the knitting during the print report
print_report.R "${cute_path}" "report_file.rmd" "print_report.txt"
"""