Explore Workflows

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

Graph Name Retrieved From View
workflow graph Apply filters to VCF file

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

Path: definitions/subworkflows/filter_vcf.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph mutect parallel workflow

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

Path: definitions/subworkflows/mutect.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph strelka workflow

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

Path: definitions/subworkflows/strelka_and_post_processing.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph Varscan Workflow

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

Path: definitions/subworkflows/varscan_pre_and_post_processing.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph Add snv and indel bam-readcount files to a vcf

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

Path: definitions/subworkflows/vcf_readcount_annotator.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph format_rrnas_from_seq_entry

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

Path: task_types/tt_format_rrnas_from_seq_entry.cwl

Branch/Commit ID: 70e530b65b33301032b7510095d89e497bf5e34e
workflow graph pcr-bottleneck-coef.cwl

ChIP-seq - map - PCR Bottleneck Coefficients

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

Path: v1.0/map/pcr-bottleneck-coef.cwl

Branch/Commit ID: 487af88ef0b971f76ecd1a215639bb47e3ee94e1
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: 104059e07a2964673e21d371763e33c0afeb2d03
workflow graph 02-trim-pe.cwl

ChIP-seq 02 trimming - reads: PE

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/ChIP-seq_pipeline/02-trim-pe.cwl

Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134
workflow graph 01-qc-pe.cwl

ChIP-seq 01 QC - reads: PE

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/ChIP-seq_pipeline/01-qc-pe.cwl

Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134