Explore Workflows

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

Graph Name Retrieved From View
workflow graph Bacterial Annotation, ab initio (first pass) searched against AntiFam

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

Path: bacterial_annot/wf_ab_initio_antifam.cwl

Branch/Commit ID: master
workflow graph qiime2 explore sample taxonomic composition

Taxonomic analysis from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

 https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/qiime2-step2-deblur.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: qiime2-08-taxonomic-analysis.cwl
workflow graph pair-workflow.cwl

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

Path: workflows/pair-workflow.cwl

Branch/Commit ID: master
workflow graph mutations.cwl

https://github.com/bioexcel/biobb_wf_mutations.git

Path: biobb_wf_mutations/cwl/mutations.cwl

Branch/Commit ID: master
workflow graph wf-loadContents2.cwl

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

Path: tests/wf-loadContents2.cwl

Branch/Commit ID: main
workflow graph EMG pipeline v3.0 (single end version)

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

Path: workflows/emg-pipeline-v3.cwl

Branch/Commit ID: 2104dc3
workflow graph Add snv and indel bam-readcount files to a vcf

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/subworkflows/vcf_readcount_annotator.cwl

Branch/Commit ID: low-vaf
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: master
workflow graph Whole Exome Sequencing

Whole Exome Sequence analysis using GATK best practices - Germline SNP & Indel Discovery

https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/exomeseq.cwl

Branch/Commit ID: qiime2-workflow

Packed ID: main
workflow graph exome alignment with qc

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

Path: workflows/hello/exome_alignment_packed.cwl

Branch/Commit ID: master

Packed ID: main