Explore Workflows

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

Graph	Name	Retrieved From	View
	qc-assembled.workflow.cwl	https://github.com/MG-RAST/pipeline.git Path: CWL/Workflows/qc-assembled.workflow.cwl Branch/Commit ID: 3e967f035c10a176b9457331df0b3374a8562b26
	step-valuefrom2-wf.cwl	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/step-valuefrom2-wf.cwl Branch/Commit ID: 7dec97bb8f0bc2d9e9eb710faf41f2e98cc7cdda
	scatter-wf3.cwl#main	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/scatter-wf3.cwl Branch/Commit ID: 7dec97bb8f0bc2d9e9eb710faf41f2e98cc7cdda Packed ID: main
	Workflow to run pVACseq from detect_variants and rnaseq pipeline outputs	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/pvacseq.cwl Branch/Commit ID: 1560e7817fdb71d58aca7f98aba68809d840ade1
	protein annotation Proteins - predict, cluster, identify, annotate	https://github.com/MG-RAST/pipeline.git Path: CWL/Workflows/protein-annotation.workflow.cwl Branch/Commit ID: 3e967f035c10a176b9457331df0b3374a8562b26
	scatter-valuefrom-wf4.cwl#main	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf4.cwl Branch/Commit ID: bf93dd3e6e3261e1455530984ce045f283535d17 Packed ID: main
	RNA-Seq alignment and transcript/gene abundance workflow	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/rnaseq.cwl Branch/Commit ID: 1560e7817fdb71d58aca7f98aba68809d840ade1
	js-expr-req-wf.cwl#wf	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/js-expr-req-wf.cwl Branch/Commit ID: ec2cf2da6c31ffedf827a0fb213b5204e172f510 Packed ID: wf
	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: 282762f8bbaea57dd488115745ef798e128bade1
	scatter-valuefrom-wf3.cwl#main	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf3.cwl Branch/Commit ID: 886a6ac41c685f20d39e352f9c657e59f3312265 Packed ID: main