Explore Workflows

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

Graph Name Retrieved From View
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: 17a4a68b20e0af656e09714c1f39fe761b518686
workflow graph scatter-wf3.cwl#main

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

Path: v1.0/v1.0/scatter-wf3.cwl

Branch/Commit ID: e0cc5bd1c2fc4625f2cb5a819d3c1939aa8460db

Packed ID: main
workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: 35e6b3ef71b4a2a9caba1dbd5dc424a8809bcc0a
workflow graph Running cellranger count and lineage inference

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

Path: definitions/subworkflows/single_cell_rnaseq.cwl

Branch/Commit ID: 9e5f228bc1a3d0dfe950b5d41d7e4319e834a6d4
workflow graph strelka workflow

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

Path: definitions/subworkflows/strelka_and_post_processing.cwl

Branch/Commit ID: b9e7392e72506cadd898a6ac4db330baf6535ab6
workflow graph wffail.cwl

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

Path: tests/wf/wffail.cwl

Branch/Commit ID: 89ccbfc53ff3bb6abe2eb90bb7e0091c54c18f5c
workflow graph scatter-wf4.cwl#main

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

Path: tests/wf/scatter-wf4.cwl

Branch/Commit ID: f0a844af6f93883fcacb3572a6366124a50d0909

Packed ID: main
workflow graph QIIME2 Step 2 (Deblur option)

QIIME2 Deblur, feature summaries, phylogenetic diversity tree, taxonomic analysis and ancom

https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/qiime2-step2-deblur.cwl

Branch/Commit ID: ef08cb00bd55b4c712645d171dbc691e01ed6165

Packed ID: main
workflow graph Motif Finding with HOMER with custom background regions

Motif Finding with HOMER with custom background regions --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/)

 https://github.com/datirium/workflows.git

Path: workflows/homer-motif-analysis-bg.cwl

Branch/Commit ID: 4360fb2e778ecee42e5f78f83b78c65ab3a2b1df
workflow graph kfdrc_process_pe_set.cwl

https://github.com/inab/kf-alignment-workflow.git

Path: subworkflows/kfdrc_process_pe_set.cwl

Branch/Commit ID: cbf58e7ccb096f72b9804ea924c5405b29ec87df