Explore Workflows
View already parsed workflows here or click here to add your own
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Non-Coding Bacterial Genes
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![]() Path: bacterial_noncoding/wf_bacterial_noncoding.cwl Branch/Commit ID: 42712bca4c3307d87b6b55f525a4c97cb6f7e288 |
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step-valuefrom3-wf.cwl
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![]() Path: cwltool/schemas/v1.0/v1.0/step-valuefrom3-wf.cwl Branch/Commit ID: 1cf9d36386f550159bfeeb751763167df5022234 |
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WGS QC workflow
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![]() Path: definitions/subworkflows/qc_wgs.cwl Branch/Commit ID: 74647cc0f1abac4ee22950cfa89c44cf2ca3cffd |
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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: 29bf638904709cfbf10908adcd51ba4886ace94a |
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1st-workflow.cwl
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![]() Path: v1.0/examples/1st-workflow.cwl Branch/Commit ID: 148f11b11d31c098196e649f680797f0b4680114 |
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kmer_ref_compare_wnode
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![]() Path: task_types/tt_kmer_ref_compare_wnode.cwl Branch/Commit ID: f225cd99b0e0a5043dd102f8b33a6139fefe9ea4 |
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Detect Docm variants
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![]() Path: definitions/subworkflows/docm_cle.cwl Branch/Commit ID: 9161ef43f7bf0e22b365fde9ec92edcb8601798e |
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Run genomic CMsearch (Rfam rRNA)
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![]() Path: bacterial_ncrna/wf_gcmsearch.cwl Branch/Commit ID: 42712bca4c3307d87b6b55f525a4c97cb6f7e288 |
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protein_extract
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![]() Path: progs/protein_extract.cwl Branch/Commit ID: 4f4448f71645275db5b84eb551990dfe3bf37cbb |
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umi molecular alignment workflow
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![]() Path: definitions/subworkflows/molecular_alignment.cwl Branch/Commit ID: 74647cc0f1abac4ee22950cfa89c44cf2ca3cffd |