Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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wf_input_norm_and_entropy.cwl
This workflow normalizes clip aligned reads against a size-matched input sample. Then, an entropy score is calculated for each peak found. |
![]() Path: cwl/wf_input_norm_and_entropy.cwl Branch/Commit ID: master |
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workflow_simple.cwl
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![]() Path: CWL/workflow_simple.cwl Branch/Commit ID: master |
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metrics.cwl
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![]() Path: workflows/dnaseq/metrics.cwl Branch/Commit ID: 1.0 |
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wf-loadContents4.cwl
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![]() Path: tests/wf-loadContents4.cwl Branch/Commit ID: master |
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indexing_bed
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![]() Path: structuralvariants/cwl/subworkflows/indexing_bed.cwl Branch/Commit ID: 1.1.3 |
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predictions.cwl
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![]() Path: docs/examples/draft/ml-predict-pipeline-streamflow/predictions.cwl Branch/Commit ID: main |
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any-type-compat.cwl
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![]() Path: tests/any-type-compat.cwl Branch/Commit ID: main |
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strelka workflow
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![]() Path: definitions/subworkflows/strelka_and_post_processing.cwl Branch/Commit ID: low-vaf |
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find_hotspots_in_normals.cwl
Workflow to find hotspot VAFs from duplex (for Tumor sample) and unfiltered (for Normal sample) pileups. These inputs are all required to be sorted in the same order: sample_ids patient_ids sample_classes unfiltered_pileups duplex_pileups |
![]() Path: workflows/subworkflows/find_hotspots_in_normals.cwl Branch/Commit ID: master |
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exomeseq-gatk4-preprocessing/v2.0.3
Whole Exome Sequence preprocessing using GATK4 - v2.0.3 |
![]() Path: exomeseq-gatk4-preprocessing.cwl Branch/Commit ID: v2.0.3 |