Explore Workflows

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

Graph Name Retrieved From View
workflow graph ST520106.cwl

https://github.com/Marco-Salvi/cwl-ro-crate.git

Path: ST520106.cwl

Branch/Commit ID: main

workflow graph bwa_mem

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

Path: structuralvariants/subworkflows/bwa_mem.cwl

Branch/Commit ID: 3bb03c9b

workflow graph cmsearch-multimodel-wf.cwl

https://github.com/mr-c/workflow-is-cwl.git

Path: workflows/cmsearch-multimodel-wf.cwl

Branch/Commit ID: fix_sbg_namespace

workflow graph 1st-workflow.cwl

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

Path: v1.0/examples/1st-workflow.cwl

Branch/Commit ID: main

workflow graph Detect DoCM variants

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

Path: definitions/subworkflows/docm_germline.cwl

Branch/Commit ID: master

workflow graph personal_genome_input_wf.cwl

https://github.com/kids-first/kf-rnaseq-workflow.git

Path: workflow/personal_genome_input_wf.cwl

Branch/Commit ID: 23f866f01f36efd7feb8a62d2a6765495a999974

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: 708fd97

workflow graph count-lines9-wf-noET.cwl

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

Path: v1.0/v1.0/count-lines9-wf-noET.cwl

Branch/Commit ID: master

workflow graph scRNA-seq pipeline using Salmon and Alevin

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

Path: pipeline.cwl

Branch/Commit ID: 72cf42a

workflow graph workflow_neuroproof_deploy.cwl

local

https://github.com/aplbrain/saber.git

Path: saber/i2g/examples/I2G_Neuroproof/workflow_neuroproof_deploy.cwl

Branch/Commit ID: master