Explore Workflows
View already parsed workflows here or click here to add your own
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search.cwl#main
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Path: tests/search.cwl Branch/Commit ID: main Packed ID: main |
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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 |
Path: workflows/qiime-workflow.cwl Branch/Commit ID: 3168316 |
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wgs alignment and germline variant detection
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Path: definitions/pipelines/germline_wgs_gvcf.cwl Branch/Commit ID: low-vaf |
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qc_workflow_wo_waltz.cwl
This workflow is intended to be used to test the QC module, without having to run the long waltz step |
Path: workflows/QC/qc_workflow_wo_waltz.cwl Branch/Commit ID: 0.0.33_dmp |
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wes_alignment.cwl
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Path: wes_alignment.cwl Branch/Commit ID: main |
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cmsearch-multimodel.cwl
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Path: workflows/cmsearch-multimodel.cwl Branch/Commit ID: a8abd0e |
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WGS and MT analysis for fastq files
rna / protein - qc, preprocess, filter, annotation, index, abundance |
Path: CWL/Workflows/wgs-noscreen-fasta.workflow.cwl Branch/Commit ID: master |
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map medium and long reads (> 100 bp) against reference genome
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Path: bwa/BWA-Mem2-single.cwl Branch/Commit ID: release |
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mito_cleanup
This workflow detect and remove Mitochondrial from a DNA fasta file |
Path: workflows/Contamination/mitochondrial-cleanup.cwl Branch/Commit ID: master |
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qiime2 DADA2 detect/correct paired sequence data
Option 1: DADA2 from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/ |
Path: subworkflows/qiime2-03-dada2-paired.cwl Branch/Commit ID: develop |
