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Commit 3c5fa634 authored by Hanna  JULIENNE's avatar Hanna JULIENNE
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Merge branch 'csv---tsv' into 'master'

csv---tsv

See merge request statistical-genetics/jass_suite_pipeline!8
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1 merge request!8csv---tsv
...@@ -62,7 +62,7 @@ See sections below, for running the imputation step and/or the LD-score step. ...@@ -62,7 +62,7 @@ See sections below, for running the imputation step and/or the LD-score step.
The following Item are necessary to run JASS pipeline on real data The following Item are necessary to run JASS pipeline on real data
1. --meta_data: A path toward a meta-data file describing GWAS (see example file in ./input_files/test1.csv and [jass_preprocessing documentation](http://statistical-genetics.pages.pasteur.fr/jass_preprocessing/)) 1. --meta_data: A path toward a meta-data file describing GWAS (see example file in ./input_files/test1.tsv and [jass_preprocessing documentation](http://statistical-genetics.pages.pasteur.fr/jass_preprocessing/))
2. --gwas_folder: A path toward a folder containing the summary statistics to analyze 2. --gwas_folder: A path toward a folder containing the summary statistics to analyze
3. --ref_panel_WG: a path toward a reference panel (all genome as 1 file). See below to download curated reference panels by ancestries derived from 1000G V3 on hg38 assembly 3. --ref_panel_WG: a path toward a reference panel (all genome as 1 file). See below to download curated reference panels by ancestries derived from 1000G V3 on hg38 assembly
4. --region: Quasi LD independent regions. These regions are used by JASS to determine quickly LD-independent hits accross the genome. The input_files folder contains one region file by ancestry on hg38 assembly. If working with a different assembly or population, you can provide 1Mb delimitations as a rough equivalent of these regions. 4. --region: Quasi LD independent regions. These regions are used by JASS to determine quickly LD-independent hits accross the genome. The input_files folder contains one region file by ancestry on hg38 assembly. If working with a different assembly or population, you can provide 1Mb delimitations as a rough equivalent of these regions.
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filename internalDataLink Consortium Outcome FullName Type Reference ReferenceLink dataLink Nsample Ncase Ncontrol Nsnp snpid a1 a2 freq pval n z OR se code imp ncas ncont altNcas altNcont Unnamed: 28
GIANT_HEIGHT_Wood_et_al_2014_publicrelease_HapMapCeuFreq.txt GIANT HEIGHT Height Anthropometry Wood et al. 2014 http://www.ncbi.nlm.nih.gov/pubmed/25282103 https://www.broadinstitute.org/collaboration/giant/index.php/GIANT_consortium_data_files 253288 2550858.0 MarkerName Allele1 Allele2 Freq.Allele1.HapMapCEU p N b SE
SNP_gwas_mc_merge_nogc.tbl.uniq GIANT BMI Body Mass Index Anthropometry Locke et al. 2015 http://www.ncbi.nlm.nih.gov/pubmed/25673413 https://www.broadinstitute.org/collaboration/giant/index.php/GIANT_consortium_data_files 339224 2554637.0 SNP A1 A2 Freq1.Hapmap p N b se
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