Explore Workflows

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

Path: tests/wf/wffail.cwl

Branch/Commit ID: 20d664eff23e59aa57908345bfdb1ceeab3438f2

https://github.com/bespin-workflows/exomeseq-gatk4.git

Path: subworkflows/exomeseq-gatk4-02-variantdiscovery.cwl

Branch/Commit ID: fd641e00364e257b2119ce5b26aedb01402dfcbe

Workflow to build different indices for different tools from a genome and transcriptome. This workflow expects an (annotated) genome in GBOL ttl format. Steps: - SAPP: rdf2gtf (genome fasta) - SAPP: rdf2fasta (transcripts fasta) - STAR index (Optional for Eukaryotic origin) - bowtie2 index - kallisto index

https://git.wur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_indexbuilder.cwl

Branch/Commit ID: cd0c19d51068c5407cd70b718a561d4662819d87

Workflow maps FASTQ files from `fastq_files` input into reference genome `reference_star_indices_folder` and insilico generated `insilico_star_indices_folder` genome (concatenated genome for both `strain1` and `strain2` strains). For both genomes STAR is run with `outFilterMultimapNmax` parameter set to 1 to discard all of the multimapped reads. For insilico genome SAM file is generated. Then it's splitted into two SAM files based on strain names and then sorted by coordinates into the BAM format. For reference genome output BAM file from STAR slignment is also coordinate sorted.

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

Path: subworkflows/allele-alignreads-se-pe.cwl

Branch/Commit ID: 02ffbbd7eb8e06bfb759edea440f78bdc8bb2631

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

Path: workflows/bamfastq_align/extract_readgroup_fastq_se.cwl

Branch/Commit ID: 0495e3095182b2e1b4d6274833b3d2ce30347a4e

Devel version of Single-Cell Preprocessing Cell Ranger Pipeline ===============================================================

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

Path: workflows/single-cell-preprocess-cellranger.cwl

Branch/Commit ID: 2c486543c335bb99b245dfe7e2f033f535efb9cf

https://github.com/lonbar/VLBI-cwl.git

Path: workflows/setup.cwl

Branch/Commit ID: 58d6c7fe14e9a4de4e1659f8eedd2ca527c18a28

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: 7518b100d8cbc80c8be32e9e939dfbb27d6b4361

Bismark Methylation pipeline. We can use indices_folder as genome_folder for bismark_extract_methylation step, because it insludes the original FASTA files too.

https://github.com/Barski-lab/workflows.git

Path: workflows/bismark-methylation-se.cwl

Branch/Commit ID: 12edfc2207507e53c6b5bb21e50decb5535a12f7

https://github.com/yyoshiaki/VIRTUS.git

Path: workflow/VIRTUS.PE.cwl

Branch/Commit ID: 49faf55f97c8f3084b426d2db6640519d6f2ce71