Explore Workflows

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

Graph Name Retrieved From View
workflow graph RNA-Seq alignment and transcript/gene abundance workflow

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

Path: definitions/pipelines/rnaseq.cwl

Branch/Commit ID: 0db1a5f1ceedd4416ac550787c27b99c87dbe985
workflow graph blastp_wnode_naming

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

Path: task_types/tt_blastp_wnode_naming.cwl

Branch/Commit ID: a2d6cd4c53bf3501f6bd79edebb7ca30bba8456f
workflow graph default_with_falsey_value.cwl

reproduces https://github.com/DataBiosphere/toil/issues/3141

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

Path: tests/default_with_falsey_value.cwl

Branch/Commit ID: 707ebcd2173889604459c5f4ffb55173c508abb3
workflow graph scatter-wf2.cwl

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

Path: cwltool/schemas/v1.0/v1.0/scatter-wf2.cwl

Branch/Commit ID: 3ed10d0ea7ac57550433a89a92bdbe756bdb0e40
workflow graph taxonomy_check_16S

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

Path: task_types/tt_taxonomy_check_16S.cwl

Branch/Commit ID: 7b21dc40840852f3942c31b9c472346ea3f9a3ca
workflow graph tt_blastn_wnode

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

Path: task_types/tt_blastn_wnode.cwl

Branch/Commit ID: c17cac4c046f8ba2b8574a121c44a72d2e6b27e6
workflow graph tt_blastn_wnode

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

Path: task_types/tt_blastn_wnode.cwl

Branch/Commit ID: 122aba2dafbb63241413c82b725b877c04523aaf
workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: 39ac49f5d080bbb6bfa97246f46a5b621254f622
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: 3fc68366adb179927af5528c27b153abaf94494d
workflow graph kmer_cache_retrieve

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

Path: task_types/tt_kmer_cache_retrieve.cwl

Branch/Commit ID: c17cac4c046f8ba2b8574a121c44a72d2e6b27e6