Explore Workflows

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

Graph Name Retrieved From View
workflow graph dynresreq-workflow-inputdefault.cwl

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

Path: tests/dynresreq-workflow-inputdefault.cwl

Branch/Commit ID: 707ebcd2173889604459c5f4ffb55173c508abb3

workflow graph Seed Protein Alignments I

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

Path: protein_alignment/wf_seed_1.cwl

Branch/Commit ID: 551493f5c24b757a46cd22821a05e6ac6dcceb7f

workflow graph scatter-wf2_v1_0.cwl

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

Path: testdata/scatter-wf2_v1_0.cwl

Branch/Commit ID: 141048ae4b78aa765782bb752be4a1550edc2eea

workflow graph count-lines3-wf.cwl

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

Path: cwltool/schemas/v1.0/v1.0/count-lines3-wf.cwl

Branch/Commit ID: 10492acee927c177933160f6ad67085f9112b0d1

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: 261c0232a7a40880f2480b811ed2d7e89c463869

workflow graph fail-unconnected.cwl

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

Path: tests/fail-unconnected.cwl

Branch/Commit ID: 707ebcd2173889604459c5f4ffb55173c508abb3

workflow graph RNA-Seq pipeline paired-end 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 pair-end** 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 the pair-end 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-pe-dutp-mitochondrial.cwl

Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869

workflow graph Salmon quantification, FASTQ -> H5AD count matrix

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

Path: steps/salmon-quantification.cwl

Branch/Commit ID: 4cd83dc0834a438f5bc331b90d45fec6d907af12

workflow graph stdout-wf_v1_1.cwl

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

Path: testdata/stdout-wf_v1_1.cwl

Branch/Commit ID: 141048ae4b78aa765782bb752be4a1550edc2eea

workflow graph Filter differentially bound sites for heatmap analysis

Filter DiffBind results for deepTools heatmap analysis ====================================================== Filter differentially bound sites from DiffBind analysis to be used with deepTools heatmap analysis

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

Path: workflows/filter-diffbind-for-heatmap.cwl

Branch/Commit ID: 261c0232a7a40880f2480b811ed2d7e89c463869