The Nextflow pipeline for Splicing Quantitative Trait Loci (sQTL) mapping
A pipeline for splicing quantitative trait loci (sQTL) mapping. Splicing quantitative trait loci mapping is a technique used to identify genetic variants that affect the splicing of RNA transcripts and how they contribute to complex traits.
The pipeline performs the following analysis steps:
- Index the genotype file
- Preprocess the transcript expression data
- Test for association between splicing ratios and genetic variants in cis (nominal pass)
- Obtain an empirical P-value for each phenotype (permutation pass, optional)
- Control for multiple testing
Code Snippets
165 166 167 168 | """ index_geno.R --genotype_file $genotype """ |
193 194 195 196 | """ prepare_trexp.R --group "$group" -t $te -m $metadata --gene_location $genes --covariates --output_tre tre.df.RData --output_gene genes.ss.bed --output_cov covariates.df.RData """ |
198 199 200 201 | """ prepare_trexp.R --group "$group" -t $te -m $metadata --gene_location $genes --output_tre tre.df.RData --output_gene genes.ss.bed --output_cov covariates.df.RData """ |
226 227 228 229 230 | """ res=\$(echo $chunk | sed 's/_in/_out/') sqtlseeker.R -t $tre_rdata -i $indexed_geno -l $chunk -c $cov_rdata --asympt --ld ${params.ld} -o \$res """ |
232 233 234 235 236 | """ res=\$(echo $chunk | sed 's/_in/_out/') sqtlseeker.R -t $tre_rdata -i $indexed_geno -l $chunk -c $cov_rdata --asympt --svqtl --ld ${params.ld} --window ${params.win} -o \$res """ |
253 254 255 256 | """ sqtls.R -n all-tests.nominal.tsv -f ${params.fdr} --rm_svqtl --md_min ${params.min_md} -o sqtls-${params.fdr}fdr.nominal.tsv """ |
278 279 280 281 282 | """ res=\$(echo $chunk | sed 's/_in/_out/') sqtlseeker.p.R -t $tre_rdata -i $indexed_geno -l $chunk -c $cov_rdata -M ${params.max_perm} --window ${params.win} -o \$res """ |
302 303 304 305 | """ sqtls.p.R -n all-tests.nominal.tsv -p all-tests.permuted.tsv -f ${params.fdr} --rm_svqtl --md_min ${params.min_md} -o sqtls-${params.fdr}fdr.permuted.tsv """ |
Support
Do you know this workflow well? If so, you can
request seller status , and start supporting this workflow.
Created: 1yr ago
Updated: 1yr ago
Maitainers:
public
URL:
https://github.com/guigolab/sqtlseeker2-nf.git
Name:
sqtlseeker2-nf
Version:
Version 1
Downloaded:
0
Copyright:
Public Domain
License:
GNU General Public License v3.0
Keywords:
- Future updates
Related Workflows

ENCODE pipeline for histone marks developed for the psychENCODE project
psychip pipeline is an improved version of the ENCODE pipeline for histone marks developed for the psychENCODE project.
The o...

Near-real time tracking of SARS-CoV-2 in Connecticut
Repository containing scripts to perform near-real time tracking of SARS-CoV-2 in Connecticut using genomic data. This pipeli...

snakemake workflow to run cellranger on a given bucket using gke.
A Snakemake workflow for running cellranger on a given bucket using Google Kubernetes Engine. The usage of this workflow ...

ATLAS - Three commands to start analyzing your metagenome data
Metagenome-atlas is a easy-to-use metagenomic pipeline based on snakemake. It handles all steps from QC, Assembly, Binning, t...
raw sequence reads
Genome assembly
Annotation track
checkm2
gunc
prodigal
snakemake-wrapper-utils
MEGAHIT
Atlas
BBMap
Biopython
BioRuby
Bwa-mem2
cd-hit
CheckM
DAS
Diamond
eggNOG-mapper v2
MetaBAT 2
Minimap2
MMseqs
MultiQC
Pandas
Picard
pyfastx
SAMtools
SemiBin
Snakemake
SPAdes
SqueezeMeta
TADpole
VAMB
CONCOCT
ete3
gtdbtk
h5py
networkx
numpy
plotly
psutil
utils
metagenomics

RNA-seq workflow using STAR and DESeq2
This workflow performs a differential gene expression analysis with STAR and Deseq2. The usage of this workflow is described ...

This Snakemake pipeline implements the GATK best-practices workflow
This Snakemake pipeline implements the GATK best-practices workflow for calling small germline variants. The usage of thi...