Explore Workflows

ChIP-seq - Quantification - samples: treatment and control

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

Path: v1.0/ChIP-seq_pipeline/05-quantification-with-control.cwl

Branch/Commit ID: master

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

Path: task_types/tt_assm_assm_blastn_wnode.cwl

Branch/Commit ID: dev

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

Path: tests/record-in-secondaryFiles-wf.cwl

Branch/Commit ID: master

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

Path: workflows/emg-pipeline-v4-paired.cwl

Branch/Commit ID: master

TOPMed RNA-seq CWL workflow. Documentation on the workflow can be found [here](https://github.com/heliumdatacommons/cwl_workflows/blob/master/topmed-workflows/TOPMed_RNAseq_pipeline/README.md). Example input files: [Dockstore.json](https://github.com/heliumdatacommons/cwl_workflows/blob/master/topmed-workflows/TOPMed_RNAseq_pipeline/input-examples/Dockstore.json) and [rnaseq_pipeline_fastq-example.yml](https://github.com/heliumdatacommons/cwl_workflows/blob/master/topmed-workflows/TOPMed_RNAseq_pipeline/input-examples/rnaseq_pipeline_fastq-example.yml). Quickstart instructions are [here](https://github.com/heliumdatacommons/cwl_workflows/blob/master/topmed-workflows/TOPMed_RNAseq_pipeline/README.md#Quick Start). [GitHub Repo](https://github.com/heliumdatacommons/cwl_workflows) Pipeline steps: 1. Align RNA-seq reads with [STAR v2.5.3a](https://github.com/alexdobin/STAR). 2. Run [Picard](https://github.com/broadinstitute/picard) [MarkDuplicates](https://broadinstitute.github.io/picard/command-line-overview.html#MarkDuplicates). 2a. Create BAM index for MarkDuplicates BAM with [Samtools 1.6](https://github.com/samtools/samtools/releases) index. 3. Transcript quantification with [RSEM 1.3.0](https://deweylab.github.io/RSEM/) 4. Gene quantification and quality control with [RNA-SeQC 1.1.9](https://github.com/francois-a/rnaseqc)

https://github.com/FarahZKhan/cwl_workflows.git

Path: topmed-workflows/TOPMed_RNAseq_pipeline/rnaseq_pipeline_fastq.cwl

Branch/Commit ID: CWLProvTesting

Pairwise comparison

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

Path: task_types/tt_kmer_compare_wnode.cwl

Branch/Commit ID: master

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

Path: task_types/tt_kmer_cache_retrieve.cwl

Branch/Commit ID: 96dbb414d287f4382e2d477fb1851aeaa5f14f2b

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

Path: workflows/emg-assembly.cwl

Branch/Commit ID: 135976d

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

ChIP-seq - map - PCR Bottleneck Coefficients

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

Path: v1.0/map/pcr-bottleneck-coef.cwl

Branch/Commit ID: v1.0.0