Explore Workflows

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

Graph Name Retrieved From View
workflow graph Unaligned bam to sorted, markduped bam

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

Path: definitions/subworkflows/align_sort_markdup.cwl

Branch/Commit ID: 43c790e2ee6a0f3f42e40fb4d9a9005eb8de747a
workflow graph cache_asnb_entries

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

Path: task_types/tt_cache_asnb_entries.cwl

Branch/Commit ID: af78bfbc7625a817a2875e87c8ee267cf46b8c57
workflow graph Creates FASTA file from BED coordinates

This workflow creates FASTA file from BED coordinates

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/File-formats/fasta-from-bed.cwl

Branch/Commit ID: dde32ff6c8e653a4e6b93316f28737706d5ec367
workflow graph Unaligned to aligned BAM

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

Path: definitions/subworkflows/align.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph Replace legacy AML Trio Assay

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

Path: definitions/pipelines/aml_trio_cle.cwl

Branch/Commit ID: 3b6d0475c80f5e452793a46a38ee188742b86595
workflow graph fail-wf.cwl

Run failtool which will fail

 https://github.com/Duke-GCB/calrissian.git

Path: input-data/fail-wf.cwl

Branch/Commit ID: 68362997c0f3d73dc753f08696148d1c5de70017
workflow graph 01-qc-pe.cwl

RNA-seq 01 QC - reads: PE

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

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

Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134
workflow graph 04-quantification-pe-unstranded.cwl

RNA-seq 04 quantification

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

Path: v1.0/RNA-seq_pipeline/04-quantification-pe-unstranded.cwl

Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134
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: 8049a781ac4aae579fbd3036fa0bf654532f15be
workflow graph taxonomy_check_16S

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

Path: task_types/tt_taxonomy_check_16S.cwl

Branch/Commit ID: f225cd99b0e0a5043dd102f8b33a6139fefe9ea4