Explore Workflows
View already parsed workflows here or click here to add your own
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mutect parallel workflow
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![]() Path: definitions/subworkflows/mutect.cwl Branch/Commit ID: 0a9a4ce83b49ed4e7eee5bcc09d83725136a36b0 |
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dynresreq-workflow.cwl
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![]() Path: tests/dynresreq-workflow.cwl Branch/Commit ID: e62f99dd79d6cb9c157cceb458f74200da84f6e9 |
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wf-loadContents.cwl
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![]() Path: tests/wf-loadContents.cwl Branch/Commit ID: 1f3ef888d9ef2306c828065c460c1800604f0de4 |
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record-in-secondaryFiles-wf.cwl
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![]() Path: tests/record-in-secondaryFiles-wf.cwl Branch/Commit ID: 1f3ef888d9ef2306c828065c460c1800604f0de4 |
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DiffBind spike-in - Differential Binding Analysis of ChIP-Seq or CUTß&RUN/Tag Peak Data with spike-in
Differential Binding Analysis of ChIP-Seq, ATAC-Seq, or CUT&RUN/Tag Peak Data with spike-in --------------------------------------------------- DiffBind processes ChIP-Seq, ATAC-Seq, or CUT&RUN/Tag data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by peak caller tools and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP, ATAC, or CUT&RUN/Tag experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. This specific workflow is designed for experiments that use a spike-in control for each sample. These spike-in reads are used to normalize the datasets during differential analysis using the RLE method (for either edgeR or DESeq) while accounting for background (spike-in). For more information please refer to: ------------------------------------- Ross-Innes CS, Stark R, Teschendorff AE, Holmes KA, Ali HR, Dunning MJ, Brown GD, Gojis O, Ellis IO, Green AR, Ali S, Chin S, Palmieri C, Caldas C, Carroll JS (2012). “Differential oestrogen receptor binding is associated with clinical outcome in breast cancer.” Nature, 481, -4. |
![]() Path: workflows/diffbind-for-spikein.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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strelka workflow
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![]() Path: definitions/subworkflows/strelka_and_post_processing.cwl Branch/Commit ID: e0b3c76e38630fb6234414b5adebfb6a4fb23117 |
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running cellranger mkfastq and count
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![]() Path: definitions/subworkflows/cellranger_mkfastq_and_count.cwl Branch/Commit ID: c711498c04d6b8ddf92ddceb6219f074765f7993 |
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scatter-wf3_v1_1.cwl#main
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![]() Path: testdata/scatter-wf3_v1_1.cwl Branch/Commit ID: e78db9870cb744fe36674f43b3223c688e9989e1 Packed ID: main |
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default_with_falsey_value.cwl
reproduces https://github.com/DataBiosphere/toil/issues/3141 |
![]() Path: tests/default_with_falsey_value.cwl Branch/Commit ID: 57baec040c99d7edef8242ef51b5470b1c82d733 |
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exome alignment and tumor-only variant detection
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![]() Path: definitions/pipelines/exome.cwl Branch/Commit ID: a9133c999502acf94b433af8d39897e6c2cdf65f |