Explore Workflows

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

Graph Name Retrieved From View
workflow graph BLAST against rRNA db

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

Path: bacterial_noncoding/wf_blastn.cwl

Branch/Commit ID: ef266744578e2dcbce57c110c6fa3b9eee91e316

workflow graph Tumor-Only Detect Variants workflow

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

Path: definitions/pipelines/tumor_only_detect_variants.cwl

Branch/Commit ID: 869b331cfeb9dbd5907498e3eccdebc7c28283e5

workflow graph tindaisy.cwl

https://github.com/ding-lab/TinDaisy.git

Path: cwl/workflows/tindaisy.cwl

Branch/Commit ID: c81058f1f039446ab10488699675a42129040ecd

workflow graph protein_extract

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

Path: progs/protein_extract.cwl

Branch/Commit ID: ef266744578e2dcbce57c110c6fa3b9eee91e316

workflow graph varscan somatic workflow

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

Path: definitions/subworkflows/varscan.cwl

Branch/Commit ID: 6f9f8a2057c6a9f221a44559f671e87a75c70075

workflow graph scatter-valuefrom-wf1.cwl

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

Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf1.cwl

Branch/Commit ID: 03af16c9df2ee77485d4ab092cd64ae096d2e71c

workflow graph umi molecular alignment fastq workflow

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

Path: definitions/pipelines/umi_molecular_alignment.cwl

Branch/Commit ID: e56f1024306aeb427d8aae2fff715ed2e8b8f86f

workflow graph nestedworkflows.cwl

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

Path: cwltool/schemas/v1.0/examples/nestedworkflows.cwl

Branch/Commit ID: 03af16c9df2ee77485d4ab092cd64ae096d2e71c

workflow graph nestedworkflows.cwl

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

Path: cwltool/schemas/v1.0/examples/nestedworkflows.cwl

Branch/Commit ID: 9e7c68c0834645ba53a7e2b5f70d53df9d051c92

workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: a9133c999502acf94b433af8d39897e6c2cdf65f