Explore Workflows

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

Graph Name Retrieved From View
workflow graph exome alignment and somatic variant detection

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

Path: definitions/pipelines/somatic_exome.cwl

Branch/Commit ID: 3ee63d8757c341ca98b3b46ec4782862ad19b710
workflow graph exome alignment and tumor-only variant detection

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

Path: definitions/pipelines/exome.cwl

Branch/Commit ID: 051074fce4afd9732ef34db9dd43d3a1d8e979d6
workflow graph gcaccess_from_list

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

Path: task_types/tt_gcaccess_from_list.cwl

Branch/Commit ID: 708e141d99f6e5f30d9402d9f890562606a0d97e
workflow graph cram_to_bam workflow

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

Path: definitions/subworkflows/cram_to_bam_and_index.cwl

Branch/Commit ID: ffab5424bb8b5905aecf6f8e2e6387da7f3df562
workflow graph trim-rnaseq-se.cwl

Runs RNA-Seq BioWardrobe basic analysis with single-end data file.

https://github.com/Barski-lab/workflows.git

Path: workflows/trim-rnaseq-se.cwl

Branch/Commit ID: dc4ee45ed2c5c30e9a1a173c9ea4445f27d3788a
workflow graph workflow_input_sf_expr_array.cwl

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

Path: testdata/workflow_input_sf_expr_array.cwl

Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631
workflow graph Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)

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

Path: bacterial_annot/wf_ab_initio_training.cwl

Branch/Commit ID: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
workflow graph vecscreen.cwl

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

Path: vecscreen/vecscreen.cwl

Branch/Commit ID: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
workflow graph scatter-wf1.cwl

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

Path: tests/scatter-wf1.cwl

Branch/Commit ID: 57baec040c99d7edef8242ef51b5470b1c82d733
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: 7eef0294395d83ff0765fce61726a59d71126422