Explore Workflows

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

Graph Name Retrieved From View
workflow graph bacterial_orthology

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

Path: bacterial_orthology/wf_bacterial_orthology.cwl

Branch/Commit ID: 656113dcac0de7cef6cff6c688f61441ee05872a
workflow graph workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_dispatch/2other_species/workflow.cwl

Branch/Commit ID: 8b8c6dd16e06b43fbb50f1c0821856a31f1bbbc5
workflow graph Detect Docm variants

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

Path: definitions/subworkflows/docm_cle.cwl

Branch/Commit ID: 6b365b79675b2aabfb8d5829bb8df0a6e986b037
workflow graph Single-cell Multiome ATAC and RNA-Seq Analyze

Single-cell Multiome ATAC and RNA-Seq Analyze Runs filtering, normalization, scaling, integration (optionally) and clustering for a single or aggregated single-cell Multiome ATAC and RNA-Seq datasets.

 https://github.com/Barski-lab/sc-seq-analysis.git

Path: workflows/sc-multiome-analyze-wf.cwl

Branch/Commit ID: e70b7fab45e4bd2abfb7dab2b8b1f79ce904ac69
workflow graph spurious_annot

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

Path: spurious_annot/wf_spurious_annot_pass1.cwl

Branch/Commit ID: 656113dcac0de7cef6cff6c688f61441ee05872a
workflow graph bacterial_kmer

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

Path: bacterial_kmer/wf_bacterial_kmer.cwl

Branch/Commit ID: 2801ce53744a085580a8de91cd007c45146b51e8
workflow graph Motif Finding with HOMER with target and background regions from peaks

Motif Finding with HOMER with target and background regions from peaks --------------------------------------------------- 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-peak.cwl

Branch/Commit ID: 480e99a4bb3046e0565113d9dca294e0895d3b0c
workflow graph ani_top_n

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

Path: task_types/tt_ani_top_n.cwl

Branch/Commit ID: 2801ce53744a085580a8de91cd007c45146b51e8
workflow graph workflow.cwl

https://github.com/reanahub/reana-demo-root6-roofit.git

Path: workflow/cwl/workflow.cwl

Branch/Commit ID: 5a1d6cb8c6ef34958972246dbc6e58c267bdc77c
workflow graph kmer_build_tree

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

Path: task_types/tt_kmer_build_tree.cwl

Branch/Commit ID: 2801ce53744a085580a8de91cd007c45146b51e8