Explore Workflows
View already parsed workflows here or click here to add your own
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wgs alignment and somatic variant detection
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![]() Path: definitions/pipelines/somatic_wgs_nonhuman.cwl Branch/Commit ID: low-vaf |
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dedup-3-pass-distr.cwl
run 3-pass dedup: algo LocusCollector + algo Dedup output_dup_read_name + algo Dedup dedup_by_read_name sequentially in distributed mode |
![]() Path: stage/dedup-3-pass-distr.cwl Branch/Commit ID: master |
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Identifies non-coding RNAs using Rfams covariance models
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![]() Path: workflows/cmsearch-multimodel-wf.cwl Branch/Commit ID: assembly |
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macs2.cwl
string |
![]() Path: workflow/epigenome-chip-seq/macs2/macs2.cwl Branch/Commit ID: main |
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record-output-wf_v1_2.cwl
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![]() Path: testdata/record-output-wf_v1_2.cwl Branch/Commit ID: main |
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Whole_Exome-Seq.cwl
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![]() Path: workflows/Whole_Exome-Seq.cwl Branch/Commit 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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QIIME2 Step 2 (DADA2 option)
QIIME2 DADA2, feature summaries, phylogenetic diversity tree, taxonomic analysis and ancom |
![]() Path: packed/qiime2-step2-dada2.cwl Branch/Commit ID: qiime2-workflow Packed ID: main |
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Transcripts annotation workflow
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![]() Path: workflows/TranscriptsAnnotation-wf.cwl Branch/Commit ID: master |
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Bacterial Annotation, structural annotation, functional annotation: ab initio GeneMark, by WP, by HMM (second pass)
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![]() Path: bacterial_annot/wf_bacterial_annot_2nd_pass.cwl Branch/Commit ID: test |