Explore Workflows

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Graph Name Retrieved From View
workflow graph kmer_cache_store

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

Path: task_types/tt_kmer_cache_store.cwl

Branch/Commit ID: test
workflow graph bact_get_kmer_reference

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

Path: task_types/tt_bact_get_kmer_reference.cwl

Branch/Commit ID: master
workflow graph snaptools_create_snap_file.cwl

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

Path: steps/snaptools_create_snap_file.cwl

Branch/Commit ID: 102d8cb
workflow graph exomeseq-03-organizedirectories.cwl

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

Path: subworkflows/exomeseq-03-organizedirectories.cwl

Branch/Commit ID: gatk4-fixes
workflow graph wf_get_peaks_scatter_chimeric_se.cwl

The \"main\" workflow. Takes fastq files generated using the seCLIP protocol (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991800/) and outputs candidate RBP binding regions (peaks). runs: wf_get_peaks_se.cwl through scatter across multiple samples.

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

Path: cwl/wf_get_peaks_scatter_chimeric_se.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 preprocess_vcf.cwl

This workflow will perform preprocessing steps on VCFs for the OxoG/Variantbam/Annotation workflow.

https://github.com/ICGC-TCGA-PanCancer/OxoG-Dockstore-Tools.git

Path: preprocess_vcf.cwl

Branch/Commit ID: master
workflow graph Bacterial Annotation, structural annotation, functional annotation: ab initio GeneMark, by WP, by HMM (second pass)

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

Path: bacterial_annot/wf_bacterial_annot_2nd_pass.cwl

Branch/Commit ID: master
workflow graph gcaccess_from_list

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

Path: task_types/tt_gcaccess_from_list.cwl

Branch/Commit ID: test
workflow graph hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather

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

Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl

Branch/Commit ID: master