Explore Workflows

View already parsed workflows here or click here to add your own

Graph	Name	Retrieved From	View
	Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)	https://github.com/ncbi/pgap.git Path: bacterial_annot/wf_bacterial_annot_pass1.cwl Branch/Commit ID: 42712bca4c3307d87b6b55f525a4c97cb6f7e288
	if_input_is_bz2_generate_md5sum_else_return_input_chksum_json.cwl	https://github.com/cancerit/workflow-seq-import.git Path: cwls/if_input_is_bz2_generate_md5sum_else_return_input_chksum_json.cwl Branch/Commit ID: 084ba4ee91af7bc98abbc6e13c3937cb87f932ae
	QIIME2 Step 2 (DADA2 option) QIIME2 DADA2, feature summaries, phylogenetic diversity tree, taxonomic analysis and ancom	https://github.com/Duke-GCB/bespin-cwl.git Path: packed/qiime2-step2-dada2.cwl Branch/Commit ID: e2dc95d4f12210359360d814382e7201d836dfcf Packed ID: main
	js_output_workflow.cwl	https://github.com/common-workflow-language/cwltool.git Path: tests/wf/js_output_workflow.cwl Branch/Commit ID: a3d565bf8e630101d25d31804cfbceb0a0ba28de
	chipseq-header.cwl	https://github.com/datirium/workflows.git Path: metadata/chipseq-header.cwl Branch/Commit ID: b957a4f681bf0ca8ebba4e0d0ec3936bf79620c5
	Non-Coding Bacterial Genes	https://github.com/ncbi/pgap.git Path: bacterial_noncoding/wf_bacterial_noncoding.cwl Branch/Commit ID: 42712bca4c3307d87b6b55f525a4c97cb6f7e288
	step-valuefrom3-wf.cwl	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/step-valuefrom3-wf.cwl Branch/Commit ID: 1cf9d36386f550159bfeeb751763167df5022234
	WGS QC workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/qc_wgs.cwl Branch/Commit ID: 74647cc0f1abac4ee22950cfa89c44cf2ca3cffd
	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.	https://github.com/datirium/workflows.git Path: workflows/pca.cwl Branch/Commit ID: 29bf638904709cfbf10908adcd51ba4886ace94a
	1st-workflow.cwl	https://github.com/common-workflow-language/common-workflow-language.git Path: v1.0/examples/1st-workflow.cwl Branch/Commit ID: 148f11b11d31c098196e649f680797f0b4680114