Explore Workflows

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

Graph Name Retrieved From View
workflow graph blast-reuse-image.cwl

https://github.com/betisb/InputParser.git

Path: cwl/blast-reuse-image.cwl

Branch/Commit ID: 68747d69e04d126f7ea679f93a291a6de244a95f
workflow graph env-wf2.cwl

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

Path: v1.0/v1.0/env-wf2.cwl

Branch/Commit ID: e67f19d8a713759d761ecad050966d1eb043b85c
workflow graph Raw sequence data to BQSR

https://github.com/tmooney/cancer-genomics-workflow.git

Path: definitions/subworkflows/sequence_to_bqsr.cwl

Branch/Commit ID: 233f026ffce240071edda526391be0c03186fce8
workflow graph Detect Docm variants

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

Path: definitions/subworkflows/docm_cle.cwl

Branch/Commit ID: 68eda647259849ca81ac0bb07a24bc8a4465a630
workflow graph VIRTUS.SE.cwl

https://github.com/yyoshiaki/VIRTUS.git

Path: workflow/VIRTUS.SE.cwl

Branch/Commit ID: ff8ca6c87ad2c8fa2d1bc9a8bb4bca9c523826d6
workflow graph Subworkflow that runs cnvkit in single sample mode and returns a vcf file

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

Path: definitions/subworkflows/cnvkit_single_sample.cwl

Branch/Commit ID: 00df82a529a58d362158110581e1daa28b4d7ecb
workflow graph Detect Docm variants

https://github.com/tmooney/cancer-genomics-workflow.git

Path: definitions/subworkflows/docm_cle.cwl

Branch/Commit ID: 233f026ffce240071edda526391be0c03186fce8
workflow graph echo-wf-default.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/echo-wf-default.cwl

Branch/Commit ID: 368b562a1449e8cd39ae8b7f05926b2bfb9b22df
workflow graph align_sort_sa

https://github.com/ncbi/pgap.git

Path: task_types/tt_align_sort_sa.cwl

Branch/Commit ID: 3384fa5776c183d33bef830696b6edc6ec55a292
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: b957a4f681bf0ca8ebba4e0d0ec3936bf79620c5