Explore Workflows

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

Graph Name Retrieved From View
workflow graph varscan somatic workflow

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

Path: definitions/subworkflows/varscan.cwl

Branch/Commit ID: No_filters_detect_variants
workflow graph qiime2 Deblur detect/correct sequence data

Option 2: Deblur from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

 https://github.com/bespin-workflows/16s-qiime2.git

Path: subworkflows/qiime2-03-deblur.cwl

Branch/Commit ID: develop
workflow graph scatter-valuefrom-wf1.cwl

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

Path: v1.0/v1.0/scatter-valuefrom-wf1.cwl

Branch/Commit ID: master
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 rRNA_selection.cwl

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

Path: tools/rRNA_selection.cwl

Branch/Commit ID: caea457
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 metaphlan_wfl.cwl

https://github.com/stevetsa/metaphlan-sbcgc.git

Path: metaphlan_wfl.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