diff --git a/README.md b/README.md
index 76c7b4b8832fda65880afa92500d81011b1a150d..b39cab3db0d101625b4c074186b4953b946de329 100644
--- a/README.md
+++ b/README.md
@@ -1,13 +1,15 @@
-# Linked Reads molecule separation
+# Linked Reads molecule ordering
 
-A compilation of scripts and pipelines to count and extract scaffolds of barcodes from linked reads datasets.
+A compilation of scripts and pipelines to extract orderings of barcodes from linked reads datasets.
 
-**WARNING**: This code is a proof of concept, not a usable software for production. If the code is too slow for your tests or you are encontering some bugs (maybe it's a feature ? :p) don't hesitate to contact us via the issues or with a direct mail to me (yoann \[dot] dufresne \[at] pasteur \[dot] fr).
+**WARNING**: This code is a proof of concept, not a usable software for production. If the code is too slow 
+for your tests or you are encountering some bugs (maybe it's a feature ? :p) 
+don't hesitate to contact us via the issues or with a direct mail to me (yoann \[dot] dufresne \[at] pasteur \[dot] fr).
 
 ## Nomenclature warnings
-During the process of writing a scientific article, some of the datastructure names have been modified.
-In this repository the majority of the names are old names.
-So, here is a short list of equivalences:
+During the process of writing the manuscript for this work, some of the data structures have been renamed.
+In the code, old names might still be present.
+So, here is a short list of equivalences of terms:
 - unit d-graph -> local clique pair
 - udg -> lcp
 - d²-graph (or d2-graph) -> lcp graph
@@ -50,9 +52,9 @@ Command to run the pipeline:
 * generate_fake_barcode_graph.py: Take a barcode graph as input (gexf formatted) and outputs a barcode graph. The barcode graph is create by fusion of nodes from the molecule graph.
 
 * use the snakefile "Snakemake_data_simu".
-All the parameters can be an integer or a list of integer.
-Each combination of parameter will generate a barcode graph.  
-Config parameters:
+All the parameters can be integers or lists of integers.
+Each combination of parameters will generate a barcode graph.  
+The parameters are:
   * n: the number of initial molecules
   * m: average number of node merged in each barcode
   * d: average coverage of a molecule in the initial graph