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Graph Name Retrieved From View
workflow graph process VCF workflow

https://github.com/ChrisMaherLab/PACT.git

Path: subworkflows/strelka_process_vcf.cwl

Branch/Commit ID: master
workflow graph ProGENI

network-guided gene prioritization method implementation by KnowEnG that ranks gene measurements by their correlation to observed phenotypes

 https://github.com/KnowEnG/cwl-gene-prioritization.git

Path: gp_workflow.cwl

Branch/Commit ID: master
workflow graph md5-validate.cwl

https://github.com/4dn-dcic/pipelines-cwl.git

Path: cwl_awsem_v1/md5-validate.cwl

Branch/Commit ID: dev2
workflow graph EMG pipeline's QIIME workflow

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
workflow graph snpeff-workflow.cwl

Annotate variants provided in a gziped VCF using SnpEff

https://github.com/andrewjesaitis/cwl-tutorial.git

Path: snpeff-workflow.cwl

Branch/Commit ID: master
workflow graph pipeline-pe.cwl

STARR-seq pipeline - reads: PE

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/STARR-seq_pipeline/pipeline-pe.cwl

Branch/Commit ID: master
workflow graph RNASelector as a CWL workflow

https://doi.org/10.1007/s12275-011-1213-z

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

Path: workflows/rna-selector.cwl

Branch/Commit ID: caea457
workflow graph Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)

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

Path: bacterial_annot/wf_orf_hmms.cwl

Branch/Commit ID: test
workflow graph extract_gencoll_ids

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

Path: task_types/tt_extract_gencoll_ids.cwl

Branch/Commit ID: 485f0be56cea77bff62b797ae7eff422a990a92c
workflow graph cnv_gridss

CNV GRIDSS calling

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

Path: structuralvariants/cwl/subworkflows/cnv_gridss.cwl

Branch/Commit ID: 1.0.5