Explore Workflows

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

Graph Name Retrieved From View
workflow graph bgzip and index VCF

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

Path: definitions/subworkflows/bgzip_and_index.cwl

Branch/Commit ID: de81bd20ce8829ef64146115902a10e4fe7bad0b
workflow graph fp_filter workflow

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

Path: definitions/subworkflows/fp_filter.cwl

Branch/Commit ID: de81bd20ce8829ef64146115902a10e4fe7bad0b
workflow graph varscan somatic workflow

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

Path: definitions/subworkflows/varscan.cwl

Branch/Commit ID: de81bd20ce8829ef64146115902a10e4fe7bad0b
workflow graph dms_landscape.cwl

https://github.com/BioLM/biolm-cwl.git

Path: workflows/dms_landscape.cwl

Branch/Commit ID: b6c4d63a66f99e7193205dbeb32bc44f3c354f5a
workflow graph kmer_cache_store

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

Path: task_types/tt_kmer_cache_store.cwl

Branch/Commit ID: f403d9e26d60d3e3591a03077bc9dfa188b1c2bb
workflow graph atm-plev-single-segment.cwl

https://github.com/E3SM-Project/e3sm_to_cmip.git

Path: scripts/cwl_workflows/atm-unified/atm-plev-single-segment.cwl

Branch/Commit ID: 330559dfb86d112fd2d3b0ef05a630622766f5ec
workflow graph exome alignment and tumor-only variant detection

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

Path: definitions/pipelines/tumor_only_exome.cwl

Branch/Commit ID: 509938802c5e42bb8084c6a5a26ab6425c60e69a
workflow graph download_quality_control_single.cwl

https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/sra/download_quality_control_single.cwl

Branch/Commit ID: 590ed6c9803ba670411c48650bc24deef7863925
workflow graph revcomp_with_rename.cwl

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

Path: workflows/sanbi_cwltutorial/revcomp/revcomp_with_rename.cwl

Branch/Commit ID: 695af59a9da0f6aa700f6c2f41ebc3622659aac1
workflow graph ldv_linc_calibrator.cwl

https://git.astron.nl/RD/LINC.git

Path: workflows/ldv_linc_calibrator.cwl

Branch/Commit ID: 16b52facea91f7ebd2200c471b69a8c6a49b9e66