Explore Workflows

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

Graph Name Retrieved From View
workflow graph workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_dispatch/2other_species/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 zip_and_index_vcf.cwl

This is a very simple workflow of two steps. It will zip an input VCF file and then index it. The zipped file and the index file will be in the workflow output.

https://github.com/svonworl/OxoG-Dockstore-Tools.git

Path: zip_and_index_vcf.cwl

Branch/Commit ID: master
workflow graph epos single download

EPOS-IT Curl Workflow: downloads data based on curl input.

 https://github.com/andrejsim/epos-cwl-workflows.git

Path: epos_accept_single_url_curl.cwl

Branch/Commit ID: master
workflow graph pipeline-pe.cwl

ATAC-seq pipeline - reads: PE

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/ATAC-seq_pipeline/pipeline-pe.cwl

Branch/Commit ID: master
workflow graph wf_clipseqcore_pe_1barcode.cwl

Workflow for handling reads containing one barcode. Returns the bam file containing read2 only. Notes: runs the following steps: - demultiplex - trimfirst_file2string - trimagain_file2string - b1_trim_and_map - view_r2 - index_r2_bam - make_bigwigs

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

Path: cwl/wf_clipseqcore_pe_1barcode.cwl

Branch/Commit ID: master
workflow graph zip_and_index_vcf.cwl

This is a very simple workflow of two steps. It will zip an input VCF file and then index it. The zipped file and the index file will be in the workflow output.

https://github.com/ICGC-TCGA-PanCancer/pcawg-snv-indel-annotation.git

Path: zip_and_index_vcf.cwl

Branch/Commit ID: master
workflow graph count-lines1-wf.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/count-lines1-wf.cwl

Branch/Commit ID: main
workflow graph RNASelector as a CWL workflow

https://doi.org/10.1007/s12275-011-1213-z

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

Path: workflows/rna-selector.cwl

Branch/Commit ID: 5dc7c5c
workflow graph functional analysis prediction with InterProScan

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

Path: workflows/functional_analysis.cwl

Branch/Commit ID: 3f85843