Explore Workflows
View already parsed workflows here or click here to add your own
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basename-fields-test.cwl
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Path: cwltool/schemas/v1.0/v1.0/basename-fields-test.cwl Branch/Commit ID: 1eb6bfe3c77aebaf69453a669d21ae7a5a78056f |
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exome alignment and germline variant detection
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Path: definitions/pipelines/germline_exome.cwl Branch/Commit ID: 9143dc4ebacb9e1df36a712b0be6fa5d982b0c4f |
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WF6101.cwl
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Path: DTC61/WF6101/WF6101.cwl Branch/Commit ID: f172df3b835be2d8949093422d31b491eb68ab0b |
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scatterfail.cwl
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Path: tests/wf/scatterfail.cwl Branch/Commit ID: 6cfef62c21330672538fd5e9b45ec888569c0a6f |
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WF6101.cwl
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Path: DTC61/WF6101/WF6101.cwl Branch/Commit ID: main |
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trim-rnaseq-pe.cwl
Runs RNA-Seq BioWardrobe basic analysis with pair-end data file. |
Path: workflows/trim-rnaseq-pe.cwl Branch/Commit ID: 8587882f145d3eb8e258e7bf819a94f8dd666dbf |
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Deprecated. AltAnalyze ICGS
Deprecated. AltAnalyze ICGS |
Path: workflows/altanalyze-icgs.cwl Branch/Commit ID: 549fac35bf6b8b1c25af0f4f6c3f162c40dc130e |
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md5sum.cwl
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Path: testdata/md5sum.cwl Branch/Commit ID: e949503ac0dd7e22ba9b04ac51926d13780f9cee |
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PCA - Principal Component Analysis
Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy. |
Path: workflows/pca.cwl Branch/Commit ID: b4d578c2ba4713a5a22163d9f8c7105acda1f22e |
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Apply filters to VCF file
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Path: definitions/subworkflows/filter_vcf_mouse.cwl Branch/Commit ID: 0db1a5f1ceedd4416ac550787c27b99c87dbe985 |
