Explore Workflows

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

Graph Name Retrieved From View
workflow graph kmer_ref_compare_wnode

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

Path: task_types/tt_kmer_ref_compare_wnode.cwl

Branch/Commit ID: 33414c888997d558bdcb558ca33c3a728a3e6143
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: e67f19d8a713759d761ecad050966d1eb043b85c
workflow graph trick_revsort.cwl

Reverse the lines in a document, then sort those lines.

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

Path: tests/wf/trick_revsort.cwl

Branch/Commit ID: 89ccbfc53ff3bb6abe2eb90bb7e0091c54c18f5c
workflow graph KARIN_HR.cwl

https://github.com/CS-SI/chronos-demo.git

Path: cwl/KARIN_HR.cwl

Branch/Commit ID: a75321aff1ac6334ba51011df1bbc9ae4acbc270
workflow graph Unaligned BAM to BQSR

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

Path: definitions/subworkflows/bam_to_bqsr.cwl

Branch/Commit ID: 74647cc0f1abac4ee22950cfa89c44cf2ca3cffd
workflow graph dynresreq-workflow-tooldefault.cwl

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

Path: v1.0/v1.0/dynresreq-workflow-tooldefault.cwl

Branch/Commit ID: e67f19d8a713759d761ecad050966d1eb043b85c
workflow graph kmer_cache_store

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

Path: task_types/tt_kmer_cache_store.cwl

Branch/Commit ID: 001e133e0eedaf0dd8447e3f8b3cc898ec6e3e1d
workflow graph joint genotyping for trios or small cohorts

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

Path: definitions/subworkflows/joint_genotype.cwl

Branch/Commit ID: 509938802c5e42bb8084c6a5a26ab6425c60e69a
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: 799575ce58746813f066a665adeacdda252d8cab
workflow graph js_output_workflow.cwl

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

Path: tests/wf/js_output_workflow.cwl

Branch/Commit ID: 89ccbfc53ff3bb6abe2eb90bb7e0091c54c18f5c