Explore Workflows

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Graph Name Retrieved From View
workflow graph bam-bedgraph-bigwig.cwl

Workflow converts input BAM file into bigWig and bedGraph files

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

Path: subworkflows/bam-bedgraph-bigwig.cwl

Branch/Commit ID: 6bf56698c6fe6e781723dea32bc922b91ef49cf3
workflow graph 05-quantification-with-control.cwl

ChIP-seq - Quantification - samples: treatment and control

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

Path: v1.0/ChIP-seq_pipeline/05-quantification-with-control.cwl

Branch/Commit ID: 3a4314c66c1eb090e656af5a0d388cec87d65318
workflow graph extract_amplicon_kit.cwl

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

Path: workflows/bamfastq_align/extract_amplicon_kit.cwl

Branch/Commit ID: 8edf6a5e4e7790434ad0742e50d0c97a5d0bb846
workflow graph scatterfail.cwl

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

Path: tests/wf/scatterfail.cwl

Branch/Commit ID: 478c2ffc09fb189c4f36ccb82aad945b3db5f9b3
workflow graph WGS QC workflow

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

Path: definitions/subworkflows/qc_wgs.cwl

Branch/Commit ID: ae57b60e9b01e3f0f02f4e828042748409dff5a3
workflow graph Super-enhancer post ChIP-Seq analysis

Super-enhancers, consist of clusters of enhancers that are densely occupied by the master regulators and Mediator. Super-enhancers differ from typical enhancers in size, transcription factor density and content, ability to activate transcription, and sensitivity to perturbation. Use to create stitched enhancers, and to separate super-enhancers from typical enhancers using sequencing data (.bam) given a file of previously identified constituent enhancers (.gff)

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

Path: workflows/super-enhancer.cwl

Branch/Commit ID: 7518b100d8cbc80c8be32e9e939dfbb27d6b4361
workflow graph Chunked version of phmmer-v3.2.cwl

https://github.com/EBI-Metagenomics/workflow-is-cwl.git

Path: workflows/phmmer-v3.2-chunked-wf.cwl

Branch/Commit ID: e9bbe2917384efc75ba067db23612bc8e22f3f06
workflow graph 01-qc-se.cwl

ChIP-seq 01 QC - reads: SE

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

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

Branch/Commit ID: 7696e7eb27a9251fba53ef4ccacc84cc8f8b0685
workflow graph count-lines5-wf.cwl

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

Path: cwltool/schemas/v1.0/v1.0/count-lines5-wf.cwl

Branch/Commit ID: 478c2ffc09fb189c4f36ccb82aad945b3db5f9b3
workflow graph Xenbase RNA-Seq pipeline single-read

1. Convert input SRA file into pair of upsrtream and downstream FASTQ files (run fastq-dump) 2. Analyze quality of FASTQ files (run fastqc with each of the FASTQ files) 3. If any of the following fields in fastqc generated report is marked as failed for at least one of input FASTQ files: \"Per base sequence quality\", \"Per sequence quality scores\", \"Overrepresented sequences\", \"Adapter Content\", - trim adapters (run trimmomatic) 4. Align original or trimmed FASTQ files to reference genome, calculate genes and isoforms expression (run RSEM) 5. Count mapped reads number in sorted BAM file (run bamtools stats) 6. Generate genome coverage BED file (run bedtools genomecov) 7. Sort genearted BED file (run sort) 8. Generate genome coverage bigWig file from BED file (run bedGraphToBigWig)

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

Path: workflows/xenbase-rnaseq-se.cwl

Branch/Commit ID: d6ec0dee61ef65a110e10141bde1a79332a64ab0