Explore Workflows

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

Graph Name Retrieved From View
workflow graph mutect panel-of-normals workflow

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

Path: definitions/pipelines/panel_of_normals.cwl

Branch/Commit ID: 5cb188131f786ed33156e2f0e3dd63ab9c04245d
workflow graph Trim Galore RNA-Seq pipeline paired-end strand specific

Modified 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-dutp.cwl

Branch/Commit ID: bf80c9339d81a78aefb8de661bff998ed86e836e
workflow graph Single-Cell ATAC-Seq Differential Accessibility Analysis

Single-Cell ATAC-Seq Differential Accessibility Analysis Identifies differentially accessible regions between any two groups of cells, optionally aggregating chromatin accessibility data from single-cell to pseudobulk form.

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

Path: workflows/sc-atac-dbinding.cwl

Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869
workflow graph LHCb MC workflow

This workflow is composed of 2 main steps that should generate 2 types of jobs: * MCSimulation (CommandLineTool): Gauss execution * MCReconstruction (Workflow): Boole, Moore, Brunel and DaVinci executions based on Gauss outputs

https://github.com/aldbr/dirac-cwl-proto.git

Path: test/workflows/lhcb/description.cwl

Branch/Commit ID: a8d9fff1d421ee0291bab801811c7b24805072da
workflow graph allele-process-reference.cwl

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

Path: subworkflows/allele-process-reference.cwl

Branch/Commit ID: ca2dbb71d0537b1d93a8bd44719250cf8949b157
workflow graph allele-process-strain.cwl

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

Path: subworkflows/allele-process-strain.cwl

Branch/Commit ID: ca2dbb71d0537b1d93a8bd44719250cf8949b157
workflow graph step-valuefrom3-wf_v1_1.cwl

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

Path: testdata/step-valuefrom3-wf_v1_1.cwl

Branch/Commit ID: 7af75226f084349e401b1114f25bdcdee060e127
workflow graph step-valuefrom2-wf_v1_0.cwl

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

Path: testdata/step-valuefrom2-wf_v1_0.cwl

Branch/Commit ID: 7af75226f084349e401b1114f25bdcdee060e127
workflow graph step_valuefrom5_wf_v1_2.cwl

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

Path: testdata/step_valuefrom5_wf_v1_2.cwl

Branch/Commit ID: 7af75226f084349e401b1114f25bdcdee060e127
workflow graph scatter-wf2_v1_0.cwl

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

Path: testdata/scatter-wf2_v1_0.cwl

Branch/Commit ID: 7af75226f084349e401b1114f25bdcdee060e127