Explore Workflows

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

Graph Name Retrieved From View
workflow graph mut.cwl

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

Path: tests/wf/mut.cwl

Branch/Commit ID: 6c86caa0571fd186d90a6600e0bb405596d4a5e0

workflow graph sec-wf-out.cwl

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

Path: tests/wf/sec-wf-out.cwl

Branch/Commit ID: 0037b6d673437f220987916fea61d3832797095d

workflow graph dynresreq-workflow.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/dynresreq-workflow.cwl

Branch/Commit ID: 979083396fee912fca8ef778174216d317338a00

workflow graph count-lines7-wf_v1_2.cwl

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

Path: testdata/count-lines7-wf_v1_2.cwl

Branch/Commit ID: 68843d2d829a337c7bb7dc51473f1ff68d6d59ca

workflow graph CLE gold vcf evaluation workflow

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

Path: definitions/subworkflows/vcf_eval_cle_gold.cwl

Branch/Commit ID: ef7f3345b352319ec22dffba26c79df033b141f9

workflow graph Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)

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

Path: bacterial_annot/wf_bacterial_annot_pass1.cwl

Branch/Commit ID: ae781871782805632f8947c1b11f65507c80cd43

workflow graph cond-wf-003.1_nojs.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/conditionals/cond-wf-003.1_nojs.cwl

Branch/Commit ID: 979083396fee912fca8ef778174216d317338a00

workflow graph EMG QC workflow, (paired end version). Benchmarking with MG-RAST expt.

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

Path: workflows/emg-qc-paired.cwl

Branch/Commit ID: 0cd2d70d63a8ceb2de28f0faac19c919a7bd35ff

workflow graph align_sort_sa

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

Path: task_types/tt_align_sort_sa.cwl

Branch/Commit ID: 55e85a6c1a3d3ae2b47e9ae5363132a12824b1d9

workflow graph ldv_linc_calibrator.cwl

https://git.astron.nl/eosc/prefactor3-cwl.git

Path: workflows/ldv_linc_calibrator.cwl

Branch/Commit ID: c82ad7773b534a2eb015c96594417d0b1f5e0f2f