Explore Workflows
View already parsed workflows here or click here to add your own
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kmer_gc_extract_wnode
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Path: task_types/tt_kmer_gc_extract_wnode.cwl Branch/Commit ID: a539d600357a48a558daf43fc41a89aae79f9e86 |
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search.cwl#main
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Path: v1.0/v1.0/search.cwl Branch/Commit ID: 4fe434e969c93c94b690ba72db295d9d52a6f576 Packed ID: main |
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Exome QC workflow
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Path: definitions/subworkflows/qc_exome_no_verify_bam.cwl Branch/Commit ID: 97572e3a088d79f6a4166385f79e79ea77b11470 |
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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: 4360fb2e778ecee42e5f78f83b78c65ab3a2b1df |
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revsort.cwl
Reverse the lines in a document, then sort those lines. |
Path: tests/wf/revsort.cwl Branch/Commit ID: 596aab620489cd2611f4bc1d9a4fc914ddf34514 |
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exome alignment and germline variant detection
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Path: definitions/subworkflows/germline_detect_variants.cwl Branch/Commit ID: 4aba7c6591c2f1ebd827a36d325a58738c429bea |
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gcaccess_from_list
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Path: task_types/tt_gcaccess_from_list.cwl Branch/Commit ID: bc0f1f147231c759fb2d5ff99f41b2667a5588ad |
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align_sort_sa
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Path: task_types/tt_align_sort_sa.cwl Branch/Commit ID: 0514ffe248dd11068a3f2268bc67b6ce5ab051d2 |
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kf_alignment_fq_input_wf.cwl
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Path: workflows/kf_alignment_fq_input_wf.cwl Branch/Commit ID: edd5a6b2df3b4d0503e09fb17f5f1ef278594af3 |
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align_sort_sa
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Path: task_types/tt_align_sort_sa.cwl Branch/Commit ID: bf7e02ee89d1bb18462cefdbe0db41b09fe75236 |
