Explore Workflows
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DiffBind Multi-factor Analysis
DiffBind Multi-factor Analysis ------------------------------ DiffBind processes ChIP-Seq data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by ChIP-Seq peak callers and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. 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-multi-factor.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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Unaligned BAM to BQSR and VCF
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Path: definitions/subworkflows/bam_to_bqsr.cwl Branch/Commit ID: 76a35e7d885790f30559beb31f3b58770e343afd |
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Bisulfite QC tools
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Path: definitions/subworkflows/bisulfite_qc.cwl Branch/Commit ID: adcae308fdccaa1190083616118dfadb4df65dca |
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scatter-wf1_v1_1.cwl
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Path: testdata/scatter-wf1_v1_1.cwl Branch/Commit ID: b926e330eba795f3acc1f71fd0645e75f925a2da |
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816_wf.cwl
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Path: tests/wf/816_wf.cwl Branch/Commit ID: 6b8f06a9f6f6a570142c7aedc767fea2efa2a0cc |
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Single-Cell ATAC-Seq Dimensionality Reduction Analysis
Single-Cell ATAC-Seq Dimensionality Reduction Analysis Removes noise and confounding sources of variation by reducing dimensionality of chromatin accessibility data from the outputs of “Single-Cell Multiome ATAC and RNA-Seq Filtering Analysis” pipelines. The results of this workflow are primarily used in “Single-Cell ATAC-Seq Cluster Analysis” or “Single-Cell WNN Cluster Analysis” pipelines. |
Path: workflows/sc-atac-reduce.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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Cellranger Reanalyze
Cellranger Reanalyze ==================== |
Path: workflows/cellranger-reanalyze.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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dragen-germline-pipeline__4.2.4.cwl
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Path: workflows/dragen-germline-pipeline/4.2.4/dragen-germline-pipeline__4.2.4.cwl Branch/Commit ID: 655acd3c7b6df8c7a54457f70e726c37e69f90bf |
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umccrise-pipeline__2.3.0--0.cwl
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Path: workflows/umccrise-pipeline/2.3.0--0/umccrise-pipeline__2.3.0--0.cwl Branch/Commit ID: 655acd3c7b6df8c7a54457f70e726c37e69f90bf |
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Single-Cell WNN Cluster Analysis
Single-Cell WNN Cluster Analysis Clusters cells by similarity on the basis of both gene expression and chromatin accessibility data from the outputs of the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” and “Single-Cell ATAC-Seq Dimensionality Reduction Analysis” pipelines run sequentially. The results of this workflow are used in the “Single-Cell Manual Cell Type Assignment”, “Single-Cell RNA-Seq Differential Expression Analysis”, “Single-Cell RNA-Seq Trajectory Analysis”, “Single-Cell Differential Abundance Analysis”, “Single-Cell ATAC-Seq Differential Accessibility Analysis”, and “Single-Cell ATAC-Seq Genome Coverage” pipelines. |
Path: workflows/sc-wnn-cluster.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
