Explore Workflows

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

Graph Name Retrieved From View
workflow graph Bacterial Annotation, pass 2, blastp-based functional annotation (first pass)

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

Path: bacterial_annot/wf_bacterial_annot_pass2.cwl

Branch/Commit ID: f6950321e5c9ee733ad68a273d2ad8e802a6b982

workflow graph WGS QC workflow

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

Path: definitions/subworkflows/qc_wgs.cwl

Branch/Commit ID: 869b331cfeb9dbd5907498e3eccdebc7c28283e5

workflow graph extract_capture_kit.cwl

https://github.com/nci-gdc/gdc-dnaseq-cwl.git

Path: workflows/bamfastq_align/extract_capture_kit.cwl

Branch/Commit ID: 17823fcd036d134df803fbf76e23b0bc5eabedfd

workflow graph bacterial_screening.cwl

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

Path: vecscreen/bacterial_screening.cwl

Branch/Commit ID: 4ea5956bb97ea2eb6de124bc9b6a6a81a14fd2e7

workflow graph conditional_bamindex.cwl

https://github.com/NCI-GDC/gdc-dnaseq-cwl.git

Path: workflows/bamfastq_align/conditional_bamindex.cwl

Branch/Commit ID: 8edf6a5e4e7790434ad0742e50d0c97a5d0bb846

workflow graph wgs alignment with qc

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

Path: definitions/pipelines/wgs_alignment.cwl

Branch/Commit ID: 5cb188131f786ed33156e2f0e3dd63ab9c04245d

workflow graph integrity.cwl

https://github.com/nci-gdc/gdc-dnaseq-cwl.git

Path: workflows/bamfastq_align/integrity.cwl

Branch/Commit ID: 18affdd927cc388fab2c113dc2ec6df782af2a52

workflow graph WGS QC workflow

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

Path: definitions/subworkflows/qc_wgs.cwl

Branch/Commit ID: 7f9dfad8e45ca096ae738cff646195b2b1ba7d7f

workflow graph 01-qc-se.cwl

ATAC-seq 01 QC - reads: SE

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

Path: v1.0/ATAC-seq_pipeline/01-qc-se.cwl

Branch/Commit ID: 46e5078373d4668019485d27c71770aec9dd9f0e

workflow graph umi per-lane alignment subworkflow

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

Path: definitions/subworkflows/umi_alignment.cwl

Branch/Commit ID: ddd748516b25256a461ea9277303406fa2759b00