Explore Workflows

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

Graph Name Retrieved From View
workflow graph qiime2 create phylogenetic tree

Generate a tree for phylogenetic diversity analyses from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

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

Path: packed/qiime2-step2-dada2.cwl

Branch/Commit ID: qiime2-workflow

Packed ID: qiime2-05-phylogeny.cwl
workflow graph 5S-from-tablehits.cwl

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

Path: tools/5S-from-tablehits.cwl

Branch/Commit ID: master
workflow graph qiime2 rarefaction visualization

Alpha rarefaction plotting from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

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

Path: packed/qiime2-step3-alpha-analysis.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: qiime2-07-alpha-rarefaction.cwl
workflow graph workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_copy2apollo-dev/workflow.cwl

Branch/Commit ID: dev
workflow graph metrics.cwl

https://github.com/nci-gdc/gdc-dnaseq-cwl.git

Path: workflows/mirnaseq/metrics.cwl

Branch/Commit ID: master
workflow graph kfdrc_alignment_wf.cwl

https://github.com/cr-ste-justine/chujs-alignment-workflow.git

Path: workflows/kfdrc_alignment_wf.cwl

Branch/Commit ID: dev
workflow graph TransDecoder 2 step workflow, running TransDecoder.LongOrfs (step 1) followed by TransDecoder.Predict (step2)

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

Path: workflows/TransDecoder-v5-wf-2steps.cwl

Branch/Commit ID: fix_sbg_namespace
workflow graph LSU-from-tablehits.cwl

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

Path: tools/LSU-from-tablehits.cwl

Branch/Commit ID: master
workflow graph Find reads with predicted coding sequences above 60 AA in length

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

Path: workflows/orf_prediction.cwl

Branch/Commit ID: c1f8b22
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