Explore Workflows

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

Graph Name Retrieved From View
workflow graph topmed-alignment-checker.cwl

https://github.com/stain/topmed-workflows.git

Path: aligner/sbg-alignment-cwl/topmed-alignment-checker.cwl

Branch/Commit ID: namespaces

workflow graph tRNA_selection.cwl

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: tools/tRNA_selection.cwl

Branch/Commit ID: 3f85843

workflow graph pipeline-pe-blacklist-removal.cwl

ATAC-seq pipeline - reads: PE - with blacklist removal

https://github.com/Duke-GCB/GGR-cwl.git

Path: v1.0/ATAC-seq_pipeline/pipeline-pe-blacklist-removal.cwl

Branch/Commit ID: master

workflow graph tt_blastn_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_blastn_wnode.cwl

Branch/Commit ID: test

workflow graph snaptools_create_snap_file.cwl

https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git

Path: steps/snaptools_create_snap_file.cwl

Branch/Commit ID: v1.0

workflow graph step-valuefrom2-wf.cwl

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

Path: tests/step-valuefrom2-wf.cwl

Branch/Commit ID: main

workflow graph exome alignment and somatic variant detection

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

Path: definitions/pipelines/somatic_exome_nonhuman.cwl

Branch/Commit ID: master

workflow graph <YOUR CHALLENGE> Evaluation

BRIEF DESCRIPTION ABOUT THE CHALLENGE, e.g. This workflow will run and evaluate Docker submissions to the Awesome Challenge (syn123). Metrics returned are x, y, z.

https://github.com/osmaoui/model-to-data-challenge-workflow.git

Path: workflow.cwl

Branch/Commit ID: main

workflow graph bam-bedgraph-bigwig.cwl

https://github.com/barski-lab/ga4gh_challenge.git

Path: subworkflows/bam-bedgraph-bigwig.cwl

Branch/Commit ID: master

workflow graph Subworkflow that runs cnvkit in single sample mode and returns a vcf file

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/subworkflows/cnvkit_single_sample.cwl

Branch/Commit ID: low-vaf