Explore Workflows

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

Graph Name Retrieved From View
workflow graph workflow_sig.cwl

https://github.com/lukasheinrich/cwltests.git

Path: cwl/workflow_sig.cwl

Branch/Commit ID: master
workflow graph Decompress

Decompress mate pair fastq files

 https://github.com/MG-RAST/amplicon.git

Path: CWL/Workflows/decompress_mate_pair.workflow.cwl

Branch/Commit ID: master
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: 708fd97
workflow graph Optical throughput measurements via muon ring analysis

Upon receiving a new DL0 data product (from either Monte Carlo simulations or observations), DPPS triggers the CalibPipe (ctapipe-process) to process the data using ctapipe, extracting the signal charges and reconstructing muon parameters. The second step involves using the CalibPipe tool to estimate the telescope’s optical throughput using a predefined number of muon events.

https://github.com/burmist-git/076_cwl.git

Path: uc-120-2.2-optical-throughput-calibration-with-muons.cwl

Branch/Commit ID: master
workflow graph upload2ebi.workflow.cwl

https://github.com/MG-RAST/ebi-submitter.git

Path: CWL/workflows/upload2ebi.workflow.cwl

Branch/Commit ID: master
workflow graph canine_annotation_module.cwl

https://github.com/d3b-center/canine-dev.git

Path: subworkflows/canine_annotation_module.cwl

Branch/Commit ID: master
workflow graph tt_kmer_top_n.cwl

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_top_n.cwl

Branch/Commit ID: master
workflow graph Chunked version of phmmer-v3.2.cwl

https://github.com/hmenager/workflow-is-cwl.git

Path: workflows/phmmer-v3.2-chunked-wf.cwl

Branch/Commit ID: master
workflow graph Chipseq alignment with qc and creating homer tag directory

https://github.com/tmooney/cancer-genomics-workflow.git

Path: definitions/pipelines/chipseq.cwl

Branch/Commit ID: downsample_and_recall
workflow graph module-1

https://github.com/mskcc/roslin-variant.git

Path: setup/cwl/module-1.cwl

Branch/Commit ID: dev