Explore Workflows

https://github.com/common-workflow-language/common-workflow-language.git

Path: v1.0/v1.0/count-lines14-wf.cwl

Branch/Commit ID: master

This WPS workflow is designed to process ERA5 data, which is usually gathered as two sets of meteorological input grib files, atmosphere (3D data) and surface (2D data). This workflow does not include the geogrid step, that will need to be run separately. Required Inputs: * geo_em* input files (generated by geogrid) * 2 VTables, atmosphere and surface * 2 sets of Grib files, atmosphere and surface * 2 ungrib namelist files, atmosphere and surface * 1 metgrid namelist file Returns: * met_em* files for a single WRF simulation

https://github.com/UoMResearchIT/wrf_emep_cwl_linear_workflow.git

Path: workflows/wps_workflow.cwl

Branch/Commit ID: develop

https://github.com/dimitrapanou/scrnaseq-cwl.git

Path: steps.cwl

Branch/Commit ID: master

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

https://gitlab.ebrains.eu/sofiakar/yre-standardised-workflows.git

Path: Workflows/PSD_workflow_bucket_1/workflow.cwl

Branch/Commit ID: main

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: tools/rRNA_selection.cwl

Branch/Commit ID: 135976d

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

Path: cwl/wf_get_peaks_pe.cwl

Branch/Commit ID: master

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: tools/tRNA_selection.cwl

Branch/Commit ID: 43d2fb8

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

Path: subworkflows/canine_bamstats_module.cwl

Branch/Commit ID: master

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

Path: tools/rRNA_selection.cwl

Branch/Commit ID: 5dc7c5c