Explore Workflows

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

Graph Name Retrieved From View
workflow graph scatter-valuefrom-wf5.cwl

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

Path: tests/scatter-valuefrom-wf5.cwl

Branch/Commit ID: 50251ef931d108c09bed2d330d3d4fe9c562b1c3
workflow graph directory.cwl

Inspect provided directory and return filenames. Generate a new directory and return it (including content).

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

Path: tests/wf/directory.cwl

Branch/Commit ID: 1b5633876aabd4cb57ef3f1fe91c853f3ee82e46
workflow graph RNA-Seq pipeline single-read

The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **single-read** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-read RNA-Seq data. It performs the following steps: 1. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 3. Use 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.cwl

Branch/Commit ID: 664de58d95728edbf7d369d894f9037ebe2475fa
workflow graph Cell Ranger Count (RNA+ATAC)

Cell Ranger Count (RNA+ATAC) Quantifies single-cell gene expression and chromatin accessibility of the sequencing data from a single 10x Genomics library in a combined manner. The results of this workflow are primarily used in either “Single-Cell Multiome ATAC and RNA-Seq Filtering Analysis” or “Cell Ranger Aggregate (RNA+ATAC)” pipelines.

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

Path: workflows/cellranger-arc-count.cwl

Branch/Commit ID: 69643d8c15f5357a320aa7e2f6adb2e71302fd20
workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: b7d9ace34664d3cedb16f2512c8a6dc6debfc8ca
workflow graph Single-cell ATAC-Seq Cluster Analysis

Single-cell ATAC-Seq Cluster Analysis Clusters single-cell ATAC-Seq datasets, identifies differentially accessible peaks.

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

Path: workflows/sc-atac-cluster.cwl

Branch/Commit ID: 7030da528559c7106d156284e50ff0ecedab0c4e
workflow graph exome alignment and somatic variant detection

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

Path: definitions/pipelines/somatic_exome_mouse.cwl

Branch/Commit ID: d2c2f2eb846ae2e9cdcab46e3bb88e42126cb3f5
workflow graph facets

https://github.com/mskcc/roslin-variant.git

Path: setup/cwl/facets.cwl

Branch/Commit ID: 4e0f50f76ff0dfc9c5d9b4a92e4f4ba0fdc9f402
workflow graph ValidateTelescopeEfficiency

Validate telescope throughput taking into account the optical (mirror configurations, reflectivity, shadowing elements, camera filter, light cones) and camera (photo-detection efficiency) components.

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

Path: workflows/ValidateTelescopeEfficiency.cwl

Branch/Commit ID: bf4d4a44a543bcc04f4508ce020751c71550acf5
workflow graph Nested workflow example

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

Path: tests/wf/double-nested.cwl

Branch/Commit ID: 1b5633876aabd4cb57ef3f1fe91c853f3ee82e46