Explore Workflows

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

Graph Name Retrieved From View
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_get_peaks_scatter_pe.cwl

https://github.com/YeoLab/eclip.git

Path: cwl/wf_get_peaks_scatter_pe.cwl

Branch/Commit ID: master
workflow graph EMG QC workflow, (paired end version). Benchmarking with MG-RAST expt.

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

Path: workflows/emg-qc-paired.cwl

Branch/Commit ID: 1b0851e
workflow graph clustering.cwl

https://github.com/Epigenomics-Screw/Screw.git

Path: cwl/clustering.cwl

Branch/Commit ID: master
workflow graph cnv_exomedepth

CNV ExomeDepth calling

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/subworkflows/cnv_exome_depth.cwl

Branch/Commit ID: 3bb03c9b
workflow graph EMG QC workflow, (paired end version). Benchmarking with MG-RAST expt.

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

Path: workflows/emg-qc-single.cwl

Branch/Commit ID: master
workflow graph ocrevaluation-performance-test-files-wf-pack.cwl#ocrevaluation-performance-wf.cwl

https://github.com/KBNLresearch/ochre.git

Path: ochre/cwl/ocrevaluation-performance-test-files-wf-pack.cwl

Branch/Commit ID: master

Packed ID: ocrevaluation-performance-wf.cwl
workflow graph Whole Exome Sequencing

Whole Exome Sequence analysis using GATK best practices - Germline SNP & Indel Discovery

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

Path: packed/exomeseq.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: main
workflow graph orgaquant_wf.cwl

https://github.com/AlexanderSenf/orgaquant.git

Path: orgaquant_wf.cwl

Branch/Commit ID: 1.1
workflow graph sc_atac_seq_prep_process_analyze.cwl

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

Path: sc_atac_seq_prep_process_analyze.cwl

Branch/Commit ID: v2.0b8