Workflows

A CWL-based pipeline for calling small germline variants, namely SNPs and small INDELs, by processing data from Whole-genome Sequencing (WGS) or Targeted Sequencing (e.g., Whole-exome sequencing; WES) experiments.

On the respective GitHub folder are available:

• The CWL wrappers and subworkflows for the workflow
• A pre-configured YAML template, based on validation analysis of publicly available HTS data

Briefly, the workflow performs the following steps:

1. Quality control of Illumina reads ...

A CWL-based pipeline for calling small germline variants, namely SNPs and small INDELs, by processing data from Whole-genome Sequencing (WGS) or Targeted Sequencing (e.g., Whole-exome sequencing; WES) experiments.

On the respective GitHub folder are available:

• The CWL wrappers and subworkflows for the workflow
• A pre-configured YAML template, based on validation analysis of publicly available HTS data

Briefly, the workflow performs the following steps:

1. Quality control of Illumina reads ...

A CWL-based pipeline for processing ChIP-Seq data (FASTQ format) and performing:

• Peak calling
• Consensus peak count table generation
• Detection of super-enhancer regions
• Differential binding analysis

On the respective GitHub folder are available:

• The CWL wrappers for the workflow
• A pre-configured YAML template, based on validation analysis of publicly available HTS data
• Tables of metadata (EZH2_metadata_CLL.csv and H3K27me3_metadata_CLL.csv), based on the same validation ...

A CWL-based pipeline for processing RNA-Seq data (FASTQ format) and performing differential gene/transcript expression analysis.

On the respective GitHub folder are available:

• The CWL wrappers for the workflow
• A pre-configured YAML template, based on validation analysis of publicly available HTS data
• A table of metadata (mrna_cll_subsets_phenotypes.csv), based on the same validation analysis, to serve as an input example for the design of comparisons during differential expression ...

Detailed description of your COMPSs application

SARS-CoV-2 variant prediction using Read It And Keep, fastp, bbmap and iVar

PAIRED-END workflow. Align reads on fasta reference/assembly using bwa mem, get a consensus, variants, mutation explanations.

IMPORTANT:

• For "bcftools call" consensus step, the --ploidy file is in "Données partagées" (Shared Data) and must be imported in your history to use the worflow by providing this file (tells bcftools to consider haploid variant calling).
• SELECT THE MOST ADAPTED VADR MODEL for annotation (see vadr parameters).

SINGLE-END workflow. Align reads on fasta reference/assembly using bwa mem, get a consensus, variants, mutation explanations.

IMPORTANT:

• For "bcftools call" consensus step, the --ploidy file is in "Données partagées" (Shared Data) and must be imported in your history to use the worflow by providing this file (tells bcftools to consider haploid variant calling).
• SELECT the mot ADAPTED VADR MODEL for annotation (see vadr parameters).