Explore Workflows

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

Graph Name Retrieved From View
workflow graph kfdrc_annoFuse_wf.cwl

https://github.com/kids-first/kf-rnaseq-workflow.git

Path: workflow/kfdrc_annoFuse_wf.cwl

Branch/Commit ID: master

workflow graph ST520101.cwl

https://github.com/Marco-Salvi/cwl-ro-crate.git

Path: ST520101.cwl

Branch/Commit ID: main

workflow graph FragPipe: TMT Integrator and QC

This workflow step executes TMT-Integrator using the report tables generated by Philosopher. The program applies a series of statistical filters, and high-quality thresholds to filter the data. Summary report tables are created containing peptides, proteins, genes, and phosphosites (only for phospho-enriched data sets).

https://github.com/cwl-apps/fragpipe-proteomics-pipeline-tutorial.git

Path: FragPipe-TMT-Integrator-and-QC/fragpipe-tmt-integrator-and-qc.cwl

Branch/Commit ID: main

workflow graph dynresreq-workflow.cwl

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

Path: tests/dynresreq-workflow.cwl

Branch/Commit ID: main

workflow graph RNA-Seq pipeline single-read stranded mitochondrial

Slightly changed original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for **strand specific single-read** experiment. An additional steps were added to map data to mitochondrial chromosome only and then merge the output. Experiment files in [FASTQ](http://maq.sourceforge.net/fastq.shtml) format either compressed or not can be used. Current workflow should be used only with single-read strand specific RNA-Seq data. It performs the following steps: 1. `STAR` to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. `fastx_quality_stats` to analyze input FASTQ file and generate quality statistics file 3. `samtools sort` to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ file to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using `GEEP` reads-counting utility; export results to file

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

Path: workflows/rnaseq-se-dutp-mitochondrial.cwl

Branch/Commit ID: 822a07cd6937faa4be377b0cac8780f52c817faf

workflow graph Functional analyis of sequences that match the 16S SSU

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/16S_taxonomic_analysis.cwl

Branch/Commit ID: f993cad

workflow graph Salmon quantification, FASTQ -> H5AD count matrix

https://github.com/hubmapconsortium/salmon-rnaseq.git

Path: steps/salmon-quantification.cwl

Branch/Commit ID: 69da10a

workflow graph cond-wf-007.cwl

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

Path: tests/conditionals/cond-wf-007.cwl

Branch/Commit ID: main

workflow graph hc-distr.cwl

https://github.com/Sentieon/Sentieon-cwl.git

Path: stage/hc-distr.cwl

Branch/Commit ID: master

workflow graph example_workflow.cwl

Example CWL workflow that uses some advanced features

https://github.com/mskcc/pluto-cwl.git

Path: cwl/example_workflow.cwl

Branch/Commit ID: master