Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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AcceptParameterFailure
validation or review of parameter updates failed. Action required and feedback to be provided. |
![]() Path: workflows/AcceptParameterFailure.cwl Branch/Commit ID: main |
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output.cwl
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![]() Path: output.cwl Branch/Commit ID: master |
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exome alignment and tumor-only variant detection
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![]() Path: definitions/pipelines/tumor_only_exome.cwl Branch/Commit ID: master |
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step-valuefrom-wf.cwl
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![]() Path: tests/step-valuefrom-wf.cwl Branch/Commit ID: master |
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SetNightSkyBackgroundRate
Derive or calculate night-sky background rate per pixel. |
![]() Path: workflows/SetNightSkyBackgroundRate.cwl Branch/Commit ID: main |
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somatic_exome: exome alignment and somatic variant detection
somatic_exome is designed to perform processing of mutant/wildtype H.sapiens exome sequencing data. It features BQSR corrected alignments, 4 caller variant detection, and vep style annotations. Structural variants are detected via manta and cnvkit. In addition QC metrics are run, including somalier concordance metrics. example input file = analysis_workflows/example_data/somatic_exome.yaml |
![]() Path: definitions/pipelines/somatic_exome.cwl Branch/Commit ID: low-vaf |
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output_reference_workflow_input.cwl
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![]() Path: tests/output_reference_workflow_input.cwl Branch/Commit ID: main |
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workflow_neuroproof_train.cwl
local |
![]() Path: saber/i2g/examples/I2G_Neuroproof/workflow_neuroproof_train.cwl Branch/Commit ID: master |
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exome alignment and germline variant detection
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![]() Path: definitions/subworkflows/germline_detect_variants.cwl Branch/Commit ID: downsample_and_recall |
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cmsearch-multimodel-wf.cwl
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![]() Path: workflows/cmsearch-multimodel-wf.cwl Branch/Commit ID: fix_sbg_namespace |