Explore Workflows
View already parsed workflows here or click here to add your own
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Detect Variants workflow
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Path: definitions/pipelines/detect_variants.cwl Branch/Commit ID: 9c9e6a6a48eb321804ce772a2c2c12b4f2f32529 |
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gp_makeblastdb
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Path: progs/gp_makeblastdb.cwl Branch/Commit ID: 5ec226c941562124032ca6861bc8d1aeabf9d91a |
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mutect panel-of-normals workflow
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Path: definitions/pipelines/panel_of_normals.cwl Branch/Commit ID: bed420556091b7b8b45cf20a95e5947e1de9a416 |
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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: a0b22644ca178b640fb74849d23b7c631022f0b5 |
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basic_example.cwl
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Path: tests/basic/data/workflows/basic_example.cwl Branch/Commit ID: 00d6c35e3932bef3906a9158939cc0b74bea2dda |
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WorkflowWaterMasks.cwl
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Path: application-packages/52N/WorkflowWaterMasks/WorkflowWaterMasks.cwl Branch/Commit ID: 15a91a881d24b234425c91fe229ecc0326d92ec2 |
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analysis for assembled sequences
rna / protein - qc, annotation, index, abundance |
Path: CWL/Workflows/assembled.workflow.cwl Branch/Commit ID: 7b1df2ecce5a8727f2c546c5baa45c919edd8a76 |
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01-qc-pe.cwl
ChIP-seq 01 QC - reads: PE |
Path: v1.0/ChIP-seq_pipeline/01-qc-pe.cwl Branch/Commit ID: 8aabde14169421a7115c5cd48c4740b3a7bd818f |
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Downsample and HaplotypeCaller
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Path: definitions/pipelines/downsample_and_recall.cwl Branch/Commit ID: a59a803e1809a8fbfabca6b8962a8ad66dd01f1d |
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scatter-valuefrom-wf5.cwl
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Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf5.cwl Branch/Commit ID: 814bd0405a7701efc7d63e8f0179df394c7766f7 |
