Explore Workflows

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

Graph Name Retrieved From View
workflow graph Bacterial Annotation (two-pass)

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

Path: bacterial_annot/wf_bacterial_annot.cwl

Branch/Commit ID: master
workflow graph qiime2 DADA2 detect/correct paired sequence data

Option 1: DADA2 from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

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

Path: packed/qiime2-step2-dada2-paired.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: qiime2-03-dada2-paired.cwl
workflow graph EMG assembly for paired end Illumina

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

Path: workflows/emg-pipeline-v4-assembly-metaSPAdes.cwl

Branch/Commit ID: master
workflow graph animal-genome-assembly.with_canu.cwl

Animal Genome Assembly pipeline by Kazuharu Arakawa (@gaou_ak), CWLized by Tazro Ohta (@inutano). This workflow contains assembly step by canu which may take a few weeks to complete. Be careful to run!

 https://github.com/pitagora-network/DAT2-cwl.git

Path: workflow/animal-genome-assembly/animal-genome-assembly.with_canu.cwl

Branch/Commit ID: main
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: 8515542
workflow graph bulk_analysis.cwl

https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git

Path: steps/bulk_analysis.cwl

Branch/Commit ID: v1.0
workflow graph wf-loadContents4.cwl

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

Path: tests/wf-loadContents4.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 wf_makeblastdb.cwl

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

Path: amr_finder/wf_makeblastdb.cwl

Branch/Commit ID: master
workflow graph Per-chromosome pindel

https://github.com/mnneveau/cancer-genomics-workflow.git

Path: pindel/pindel_cat.cwl

Branch/Commit ID: master