Explore Workflows
View already parsed workflows here or click here to add your own
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download_gtf.cwl
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![]() Path: workflow/download_gtf.cwl Branch/Commit ID: ff8ca6c87ad2c8fa2d1bc9a8bb4bca9c523826d6 |
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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: 42c66dd24ce5026d3f717214ddb18b7b4fae93cf |
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align_sort_sa
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![]() Path: task_types/tt_align_sort_sa.cwl Branch/Commit ID: bb2f26dfe630179737ec2ff08a8614f1f47abcaf |
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Chunked version of phmmer-v3.2.cwl
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![]() Path: workflows/phmmer-v3.2-chunked-wf.cwl Branch/Commit ID: 93c7dee353f887e978ca8c5423a5c975c0796e40 |
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umi molecular alignment workflow
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![]() Path: definitions/subworkflows/molecular_qc.cwl Branch/Commit ID: 35e6b3ef71b4a2a9caba1dbd5dc424a8809bcc0a |
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Detect DoCM variants
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![]() Path: definitions/subworkflows/docm_germline.cwl Branch/Commit ID: 00df82a529a58d362158110581e1daa28b4d7ecb |
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Detect Variants workflow for WGS pipeline
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![]() Path: definitions/pipelines/detect_variants_wgs.cwl Branch/Commit ID: 42c66dd24ce5026d3f717214ddb18b7b4fae93cf |
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Unaligned to aligned BAM
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![]() Path: definitions/subworkflows/align.cwl Branch/Commit ID: 10870aefd20469e728969269ff3c54b3b8339a18 |
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THOR - differential peak calling of ChIP-seq signals with replicates
What is THOR? -------------- THOR is an HMM-based approach to detect and analyze differential peaks in two sets of ChIP-seq data from distinct biological conditions with replicates. THOR performs genomic signal processing, peak calling and p-value calculation in an integrated framework. For more information please refer to: ------------------------------------- Allhoff, M., Sere K., Freitas, J., Zenke, M., Costa, I.G. (2016), Differential Peak Calling of ChIP-seq Signals with Replicates with THOR, Nucleic Acids Research, epub gkw680. |
![]() Path: workflows/rgt-thor.cwl Branch/Commit ID: ad948b2691ef7f0f34de38f0102c3cd6f5182b29 |
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Workflow to run pVACseq from detect_variants and rnaseq pipeline outputs
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![]() Path: definitions/subworkflows/pvacseq.cwl Branch/Commit ID: 35e6b3ef71b4a2a9caba1dbd5dc424a8809bcc0a |