Explore Workflows

Final filtering

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/final_filtering.cwl

Branch/Commit ID: a4a3547b9790e99a58424a0dfcb4e467a7691d6a

This workflow compute library complexity

https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/File-formats/bedtools-bam-pbc.cwl

Branch/Commit ID: b8f18a03ffbd7d5b78a7f220686b81d539686e98

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

Path: workflows/emg-pipeline-v3.cwl

Branch/Commit ID: 7bb76f33bf40b5cd2604001cac46f967a209c47f

CNV GRIDSS calling

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/cnv_gridss.cwl

Branch/Commit ID: a4a3547b9790e99a58424a0dfcb4e467a7691d6a

Workflow runs homer-make-tag-directory.cwl tool using scatter for the following inputs - bam_file - fragment_size - total_reads `dotproduct` is used as a `scatterMethod`, so one element will be taken from each array to construct each job: 1) bam_file[0] fragment_size[0] total_reads[0] 2) bam_file[1] fragment_size[1] total_reads[1] ... N) bam_file[N] fragment_size[N] total_reads[N] `bam_file`, `fragment_size` and `total_reads` arrays should have the identical order.

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

Path: subworkflows/heatmap-prepare.cwl

Branch/Commit ID: 6bf56698c6fe6e781723dea32bc922b91ef49cf3

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/samtools_sort.cwl

Branch/Commit ID: d2314468d2d2ec177d278899820de1cbfe8c8fb6

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v3-paired.cwl

Branch/Commit ID: 3f85843d4a6debdabe96bc800bf2a4efdcda1ef3

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: CreateSymlink-workflow.cwl

Branch/Commit ID: 89cff9f0d36a23bf57b3f4bdbd3ed57e3347c945

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

Path: tests/wf/scatter-wf4.cwl

Branch/Commit ID: e6c2d955a448225f026a04130443d13661844440

Packed ID: main

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: 9bf0aa495735f8081bb5870cb32fc898b9e6eb22