Explore Workflows

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

Graph Name Retrieved From View
workflow graph xenbase-sra-to-fastq-se.cwl

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

Path: subworkflows/xenbase-sra-to-fastq-se.cwl

Branch/Commit ID: 9ee330737f4603e4e959ffe786fbb2046db70a00
workflow graph bam to trimmed fastqs and HISAT alignments

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

Path: definitions/subworkflows/bam_to_trimmed_fastq_and_hisat_alignments.cwl

Branch/Commit ID: a9133c999502acf94b433af8d39897e6c2cdf65f
workflow graph cluster_blastp_wnode and gpx_qdump combined

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

Path: task_types/tt_cluster_and_qdump.cwl

Branch/Commit ID: e0fb04a0d8bc648183c6b71d099ce7aea3c3b3ff
workflow graph sum-wf.cwl

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

Path: cwltool/schemas/v1.0/v1.0/sum-wf.cwl

Branch/Commit ID: cd779a90a4336563dcf13795111f502372c6af83
workflow graph exome alignment and tumor-only variant detection

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

Path: definitions/pipelines/exome.cwl

Branch/Commit ID: ae79bc51e8b502164dbe74ea3b068d6d4d36a1f8
workflow graph gathered exome alignment and somatic variant detection

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

Path: definitions/pipelines/somatic_exome_gathered.cwl

Branch/Commit ID: 00df82a529a58d362158110581e1daa28b4d7ecb
workflow graph fastq_clean_pe.cwl

https://github.com/nci-gdc/gdc-dnaseq-cwl.git

Path: workflows/bamfastq_align/fastq_clean_pe.cwl

Branch/Commit ID: 6b43e8b03256492f2b36ffcf548704daaafee6f6
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: b4d578c2ba4713a5a22163d9f8c7105acda1f22e
workflow graph step-valuefrom2-wf_v1_0.cwl

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

Path: testdata/step-valuefrom2-wf_v1_0.cwl

Branch/Commit ID: 0ad6983898f0d9001fe0f416f97c4d8b940e384a
workflow graph scatter-valuefrom-wf1.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/scatter-valuefrom-wf1.cwl

Branch/Commit ID: 86c46cb397de029e4c91f02cca40fa2b54d22f37