Explore Workflows

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

Graph Name Retrieved From View
workflow graph Varscan Workflow

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

Path: definitions/subworkflows/varscan_germline.cwl

Branch/Commit ID: 6949082038c1ad36d6e9848b97a2537aef2d3805

workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: fbeea265295ae596d5a3ba563e766be0c4fc26e8

workflow graph worldpopulation-slurmcern.cwl

https://github.com/reanahub/reana-demo-worldpopulation.git

Path: workflow/cwl/worldpopulation-slurmcern.cwl

Branch/Commit ID: 379334455b663b295a61a0ec057bfc080f9c7c6e

workflow graph kmer_build_tree

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

Path: task_types/tt_kmer_build_tree.cwl

Branch/Commit ID: 5331b0836aa7c451d759ef39dc2062000ac21a47

workflow graph genomics-workspace.cwl

https://github.com/nal-i5k/organism_onboarding.git

Path: flow_genomicsWorkspace/genomics-workspace.cwl

Branch/Commit ID: aa375dcaa5ccfbb4e2aa4433d10948c641b044eb

workflow graph umi molecular alignment workflow

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

Path: definitions/subworkflows/molecular_qc.cwl

Branch/Commit ID: 40097e1ed094c5b42b68f3db2ff2cbe78c182479

workflow graph exome alignment and somatic variant detection for cle purpose

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

Path: definitions/pipelines/somatic_exome_cle.cwl

Branch/Commit ID: ef7f3345b352319ec22dffba26c79df033b141f9

workflow graph tt_blastn_wnode

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

Path: task_types/tt_blastn_wnode.cwl

Branch/Commit ID: 61eaea2f746c8a1fc2a2b731056b068e28ca4e20

workflow graph Run pindel on provided region

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

Path: definitions/subworkflows/pindel_region.cwl

Branch/Commit ID: 6949082038c1ad36d6e9848b97a2537aef2d3805

workflow graph cache_asnb_entries

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

Path: task_types/tt_cache_asnb_entries.cwl

Branch/Commit ID: 61eaea2f746c8a1fc2a2b731056b068e28ca4e20