Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph scatter-valuefrom-wf2.cwl

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf2.cwl

Branch/Commit ID: b82ce7ae901a54c7a062fd5eefd8d5ceb5a4d684

workflow graph VIRTUS.SE.cwl

https://github.com/yyoshiaki/VIRTUS.git

Path: workflow/VIRTUS.SE.cwl

Branch/Commit ID: 43982758be93a31a0c079f448b377cae9fb9f3c7

workflow graph wf-loadContents4.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/wf-loadContents4.cwl

Branch/Commit ID: 664835e83eb5e57eee18a04ce7b05fb9d70d77b7

workflow graph Single-Cell Preprocessing Pipeline

Devel version of Single-Cell Preprocessing Pipeline ===================================================

https://github.com/datirium/workflows.git

Path: workflows/single-cell-preprocess.cwl

Branch/Commit ID: ebbf23764ede324cabc064bd50647c1f643726fa

workflow graph Cut-n-Run pipeline paired-end

Experimental pipeline for Cut-n-Run analysis. Uses mapping results from the following experiment types: - `chipseq-pe.cwl` - `trim-chipseq-pe.cwl` - `trim-atacseq-pe.cwl` Note, the upstream analyses should not have duplicates removed

https://github.com/datirium/workflows.git

Path: workflows/trim-chipseq-pe-cut-n-run.cwl

Branch/Commit ID: 664de58d95728edbf7d369d894f9037ebe2475fa

workflow graph wgs alignment and germline variant detection

https://github.com/genome/analysis-workflows.git

Path: definitions/pipelines/germline_wgs.cwl

Branch/Commit ID: 42c66dd24ce5026d3f717214ddb18b7b4fae93cf

workflow graph scatter-wf3_v1_0.cwl#main

https://github.com/common-workflow-language/cwl-utils.git

Path: testdata/scatter-wf3_v1_0.cwl

Branch/Commit ID: 7af75226f084349e401b1114f25bdcdee060e127

Packed ID: main

workflow graph trim-rnaseq-se.cwl

Runs RNA-Seq BioWardrobe basic analysis with single-end data file.

https://github.com/Barski-lab/workflows.git

Path: workflows/trim-rnaseq-se.cwl

Branch/Commit ID: ca2dbb71d0537b1d93a8bd44719250cf8949b157

workflow graph strelka workflow

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/strelka_and_post_processing.cwl

Branch/Commit ID: a3e26136043c03192c38c335316d2d36e3e67478

workflow graph Trim Galore RNA-Seq pipeline paired-end

The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **pair-end** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-end RNA-Seq data. It performs the following steps: 1. Trim adapters from input FASTQ files 2. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 4. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ files to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file

https://github.com/datirium/workflows.git

Path: workflows/trim-rnaseq-pe.cwl

Branch/Commit ID: ebbf23764ede324cabc064bd50647c1f643726fa