Explore Workflows

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

Graph Name Retrieved From View
workflow graph SV filtering workflow

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

Path: definitions/subworkflows/filter_sv_vcf.cwl

Branch/Commit ID: 51724b44c96e5fd849ae55b752865b80bc47d66c

workflow graph Replace legacy AML Trio Assay

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

Path: definitions/pipelines/aml_trio_cle.cwl

Branch/Commit ID: 457e101e3fb87e7fd792357afce00ed8ccbfbcdb

workflow graph vcf_to_aliquot_maf_wf.cwl

https://github.com/NCI-GDC/aliquot-maf-cwl.git

Path: vcf-to-aliquot-maf/vcf_to_aliquot_maf_wf.cwl

Branch/Commit ID: af9e756697f29b082790b65f129a6434fd5c4980

workflow graph merge and annotate svs with population allele freq and vep

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

Path: definitions/subworkflows/merge_svs.cwl

Branch/Commit ID: 51724b44c96e5fd849ae55b752865b80bc47d66c

workflow graph kfdrc_RNAseq_workflow.cwl

https://github.com/kids-first/kf-rnaseq-workflow.git

Path: workflow/kfdrc_RNAseq_workflow.cwl

Branch/Commit ID: 3fd55a819cda2a1fc48957b5daa2bebdaee843fb

workflow graph scatter-wf1_v1_0.cwl

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

Path: testdata/scatter-wf1_v1_0.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631

workflow graph assemble.cwl

Assemble a set of reads using SKESA

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

Path: assemble.cwl

Branch/Commit ID: 2afb5ebafd1353ba063cc74ee9a7eaf347afce5c

workflow graph workflow_input_format_expr.cwl

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

Path: testdata/workflow_input_format_expr.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631

workflow graph scatter-wf2_v1_0.cwl

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

Path: testdata/scatter-wf2_v1_0.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631

workflow graph tt_fscr_calls_pass1

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

Path: task_types/tt_fscr_calls_pass1.cwl

Branch/Commit ID: 2afb5ebafd1353ba063cc74ee9a7eaf347afce5c