Explore Workflows

https://github.com/fgomez02/analysis-workflows.git

Path: definitions/subworkflows/vcf_readcount_annotator.cwl

Branch/Commit ID: No_filters_detect_variants

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

Path: tests/step-valuefrom4-wf.cwl

Branch/Commit ID: master

QIIME2 Import and Demux Step 1

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

Path: packed/qiime2-step1-import-demux.cwl

Branch/Commit ID: qiime2-workflow

Packed ID: main

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

Path: tests/io-any-wf-1.cwl

Branch/Commit ID: master

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

Path: pipeline.cwl

Branch/Commit ID: b9c8e26

Step 1: Set environment PYTHONPATH, QIIME_ROOT, PATH Step 2: Run QIIME script pick_closed_reference_otus.py ${python} ${qiimeDir}/bin/pick_closed_reference_otus.py -i $1 -o $2 -r ${qiimeDir}/gg_13_8_otus/rep_set/97_otus.fasta -t ${qiimeDir}/gg_13_8_otus/taxonomy/97_otu_taxonomy.txt -p ${qiimeDir}/cr_otus_parameters.txt Step 3: Convert new biom format to old biom format (json) ${qiimeDir}/bin/biom convert -i ${resultDir}/cr_otus/otu_table.biom -o ${resultDir}/cr_otus/${infileBase}_otu_table_json.biom --table-type=\"OTU table\" --to-json Step 4: Convert new biom format to a classic OTU table. ${qiimeDir}/bin/biom convert -i ${resultDir}/cr_otus/otu_table.biom -o ${resultDir}/cr_otus/${infileBase}_otu_table.txt --to-tsv --header-key taxonomy --table-type \"OTU table\" Step 5: Create otu summary ${qiimeDir}/bin/biom summarize-table -i ${resultDir}/cr_otus/otu_table.biom -o ${resultDir}/cr_otus/${infileBase}_otu_table_summary.txt Step 6: Move one of the result files mv ${resultDir}/cr_otus/otu_table.biom ${resultDir}/cr_otus/${infileBase}_otu_table_hdf5.biom Step 7: Create a list of observations awk '{print $1}' ${resultDir}/cr_otus/${infileBase}_otu_table.txt | sed '/#/d' > ${resultDir}/cr_otus/${infileBase}_otu_observations.txt Step 8: Create a phylogenetic tree by pruning GreenGenes and keeping observed otus ${python} ${qiimeDir}/bin/filter_tree.py -i ${qiimeDir}/gg_13_8_otus/trees/97_otus.tree -t ${resultDir}/cr_otus/${infileBase}_otu_observations.txt -o ${resultDir}/cr_otus/${infileBase}_pruned.tree

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

Path: workflows/qiime-workflow.cwl

Branch/Commit ID: 3168316

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

Path: testdata/scatter-wf3_v1_0.cwl

Branch/Commit ID: aa13f7bad47e8df2349bdebd163e1830537d7f93

Packed ID: main

https://github.com/mskcc/Innovation-Pipeline.git

Path: workflows/subworkflows/snps_and_indels.cwl

Branch/Commit ID: master

<p>This is a “real-world” workflow example for processing Next Generation Sequencing (NGS) Whole Genome Sequence (WGS) data.</p> <p>You can learn more and run this workflow yourself by going through the <a href=\"https://doc.arvados.org/main/user/tutorials/wgs-tutorial.html\">Processing Whole Genome Sequences</a> walkthrough in the Arvados user guide.</p> <p>The steps of this workflow include:</p> <ol> <li>Check of fastq quality using FastQC</li> <li>Local alignment using BWA-MEM</li> <li>Variant calling in parallel using GATK Haplotype Caller</li> <li>Generation of an HTML report comparing variants against ClinVar archive</li> </ol> <p>The primary input parameter is the <b>Directory of paired FASTQ files</b>, which should contain paired FASTQ files (suffixed with _1 and _2) to be processed. The workflow scatters over the samples to process them in parallel.</p> <p>The remaining parameters are reference data used by various tools in the pipeline.</p>

https://github.com/arvados/arvados-tutorial.git

Path: WGS-processing/cwl/wgs-processing-wf.cwl

Branch/Commit ID: main

This workflow will perform preprocessing steps on VCFs for the OxoG/Variantbam/Annotation workflow.

https://github.com/svonworl/oxog-dockstore-tools.git

Path: preprocess_vcf.cwl

Branch/Commit ID: master