Explore Workflows

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

Graph	Name	Retrieved From	View
	dynresreq-workflow-stepdefault.cwl	https://github.com/common-workflow-language/cwl-v1.2.git Path: tests/dynresreq-workflow-stepdefault.cwl Branch/Commit ID: 1f3ef888d9ef2306c828065c460c1800604f0de4
	allele-process-strain.cwl	https://github.com/datirium/workflows.git Path: workflows/allele-process-strain.cwl Branch/Commit ID: 4b8bb1a1ec39056253ca8eee976078e51f4a954e
	contamination_foreign_chromosome This workflow detect and remove foreign chromosome from a DNA fasta file	https://github.com/ncbi/cwl-ngs-workflows-cbb.git Path: workflows/Contamination/contamination-foreign-chromosome-blastn.cwl Branch/Commit ID: 3247592a89deafaa0d9c5910a1cb1d000ef9b098
	cond-with-defaults.cwl	https://github.com/common-workflow-language/cwl-v1.2.git Path: tests/conditionals/cond-with-defaults.cwl Branch/Commit ID: e62f99dd79d6cb9c157cceb458f74200da84f6e9
	step_valuefrom5_wf_v1_2.cwl	https://github.com/common-workflow-language/cwl-utils.git Path: testdata/step_valuefrom5_wf_v1_2.cwl Branch/Commit ID: 0ad6983898f0d9001fe0f416f97c4d8b940e384a
	Immunotherapy Workflow	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/immuno.cwl Branch/Commit ID: 0805e8e0d358136468e0a9f49e06005e41965adc
	pair-workflow.cwl	https://github.com/mskcc/argos-cwl.git Path: workflows/pair-workflow.cwl Branch/Commit ID: 507efdf727d2a5ec7b91007e7c953b1a2d81b288
	basename-fields-test.cwl	https://github.com/common-workflow-language/cwl-v1.2.git Path: tests/basename-fields-test.cwl Branch/Commit ID: e62f99dd79d6cb9c157cceb458f74200da84f6e9
	timelimit4-wf.cwl	https://github.com/common-workflow-language/cwl-v1.2.git Path: tests/timelimit4-wf.cwl Branch/Commit ID: e62f99dd79d6cb9c157cceb458f74200da84f6e9
	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: 2cad55523d1b4ee7fd9e64df0f6263c6545e4b0e