Explore Workflows

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

Graph Name Retrieved From View
workflow graph count-lines15-wf.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/count-lines15-wf.cwl

Branch/Commit ID: 57baec040c99d7edef8242ef51b5470b1c82d733
workflow graph search.cwl#main

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/search.cwl

Branch/Commit ID: ea9f8634e41824ac3f81c3dde698d5f0eef54f1b

Packed ID: main
workflow graph bam to trimmed fastqs

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/bam_to_trimmed_fastq.cwl

Branch/Commit ID: 9c0b1497c467393e1a54735575043dced73e95c4
workflow graph js-expr-req-wf.cwl#wf

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/js-expr-req-wf.cwl

Branch/Commit ID: 1f3ef888d9ef2306c828065c460c1800604f0de4

Packed ID: wf
workflow graph count-lines4-wf.cwl

https://github.com/common-workflow-language/common-workflow-language.git

Path: v1.0/v1.0/count-lines4-wf.cwl

Branch/Commit ID: 4fd45edb9531a03223c18a586e32d0baf0d5acb2
workflow graph bam to trimmed fastqs

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/bam_to_trimmed_fastq.cwl

Branch/Commit ID: e59c77629936fad069007ba642cad49fef7ad29f
workflow graph mut2.cwl

https://github.com/common-workflow-language/cwltool.git

Path: tests/wf/mut2.cwl

Branch/Commit ID: dbc4c4c2ad30ed31367b4fbcc3bb4084fdcabaa2
workflow graph workflow_input_sf_expr_v1_1.cwl

https://github.com/common-workflow-language/cwl-utils.git

Path: testdata/workflow_input_sf_expr_v1_1.cwl

Branch/Commit ID: 0ab1d42d10f7311bb4032956c4a6f3d2730d9507
workflow graph workflow_input_sf_expr_v1_2.cwl

https://github.com/common-workflow-language/cwl-utils.git

Path: testdata/workflow_input_sf_expr_v1_2.cwl

Branch/Commit ID: 124a08ce3389eb49066c34a4163cbbed210a0355
workflow graph 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: 7ced5a5259dbd8b3fc64456beaeffd44f4a24081