Explore Workflows

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Graph Name Retrieved From View
workflow graph Protein_Inference_workflow.cwl

https://github.com/adamscharlotte/CWL-workflow.git

Path: Protein_Inference_workflow.cwl

Branch/Commit ID: master

workflow graph Long-covid.cwl

https://github.com/cwlviewer-test/Long-covid---aedea650-7a21-11ed-b9d2-e51f21933d80.git

Path: Long-covid---a7602980-7a21-11ed-b9d2-e51f21933d80/Long-covid.cwl

Branch/Commit ID: read-potential-cases-disc

workflow graph EMG assembly for paired end Illumina

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

Path: workflows/emg-assembly.cwl

Branch/Commit ID: 2104dc3

workflow graph Detect Docm variants

https://github.com/litd/analysis-workflows.git

Path: definitions/subworkflows/docm_cle.cwl

Branch/Commit ID: master

workflow graph EMG assembly for paired end Illumina

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

Path: workflows/emg-pipeline-v4-assembly-metaSPAdes.cwl

Branch/Commit ID: master

workflow graph aggregate_visualize

https://github.com/msk-access/qc_generation.git

Path: access_qc__packed.cwl

Branch/Commit ID: develop

Packed ID: aggregate_visualize.cwl

workflow graph final_filtering

Final filtering

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

Path: structuralvariants/cwl/abstract_operations/subworkflows/final_filtering.cwl

Branch/Commit ID: master

workflow graph fastqc-0-11-4-1.cwl

https://github.com/mr-c/4dn-dcic-pipelines-cwl.git

Path: cwl_awsem_v1/fastqc-0-11-4-1.cwl

Branch/Commit ID: dev2

workflow graph Identify somatic SVs

https://github.com/ChrisMaherLab/PACT.git

Path: subworkflows/sv_merge_and_filter.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: 3168316