Explore Workflows

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

Path: bacterial_trna/wf_trnascan.cwl

Branch/Commit ID: dev

A workflow for running MuSe, MuTect, SomaticSniper, and Pindel. See [the github repository](https://github.com/BD2KGenomics/dockstore_workflow_snps) for details.

https://github.com/bd2kgenomics/dockstore_workflow_snps.git

Path: snp_callers_workflow.cwl

Branch/Commit ID: master

https://github.com/petehague/stoa.git

Path: actions/workflow1.cwl

Branch/Commit ID: master

https://github.com/audrium/reana-demo-scattered-helloworld.git

Path: workflow/cwl/helloworld.cwl

Branch/Commit ID: master

https://github.com/BiodataAnalysisGroup/intro-to-cwl-docker.git

Path: _includes/cwl/echo-workflow.cwl

Branch/Commit ID: gh-pages

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

Path: tests/record-output-wf.cwl

Branch/Commit ID: master

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

Path: task_types/tt_hmmsearch_wnode.cwl

Branch/Commit ID: dev

https://github.com/gijzelaerr/spiel.git

Path: multi-psf.cwl

Branch/Commit ID: master

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

This is a workflow to go from UMI-tagged fastqs to standard bams. It does not include collapsing, or QC It does include modules 1 and 2

https://github.com/andurill/ACCESS-Pipeline.git

Path: workflows/standard_pipeline.cwl

Branch/Commit ID: 0.0.33_dmp