Explore Workflows
View already parsed workflows here or click here to add your own
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04-peakcall-se.cwl
ATAC-seq 04 quantification - SE |
Path: v1.0/ATAC-seq_pipeline/04-peakcall-se.cwl Branch/Commit ID: v1.0 |
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02-trim-se.cwl
ChIP-seq 02 trimming - reads: SE |
Path: v1.0/ChIP-seq_pipeline/02-trim-se.cwl Branch/Commit ID: master |
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MEME motif
This workflow uses MEME suite for motif finding |
Path: workflows/ChIP-Seq/meme-motif.cwl Branch/Commit ID: master |
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wgs alignment with qc
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Path: definitions/pipelines/wgs_alignment.cwl Branch/Commit ID: No_filters_detect_variants |
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count-lines4-wf.cwl
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Path: v1.0/v1.0/count-lines4-wf.cwl Branch/Commit ID: master |
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SSU-from-tablehits.cwl
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Path: tools/SSU-from-tablehits.cwl Branch/Commit ID: a8abd0e |
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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: 708fd97 |
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count-lines11-null-step-wf.cwl
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Path: tests/count-lines11-null-step-wf.cwl Branch/Commit ID: main |
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emblem_textures.cwl
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Path: textures/emblem_textures.cwl Branch/Commit ID: cwl |
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emblem_textures.cwl
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Path: textures/emblem_textures.cwl Branch/Commit ID: cwl |
