Explore Workflows
View already parsed workflows here or click here to add your own
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TOPMed_RNA-seq
TOPMed RNA-seq CWL workflow. Documentation on the workflow can be found [here](https://github.com/heliumdatacommons/TOPMed_RNAseq_CWL/blob/master/README.md). Example input files: [Dockstore.json](https://github.com/heliumdatacommons/TOPMed_RNAseq_CWL/blob/master/workflow/input-examples/Dockstore.json) and [rnaseq_pipeline_fastq-example.yml](https://github.com/heliumdatacommons/TOPMed_RNAseq_CWL/blob/master/workflow/input-examples/rnaseq_pipeline_fastq-example.yml). Quickstart instructions are [here](https://github.com/heliumdatacommons/TOPMed_RNAseq_CWL/README.md#Quick Start). [GitHub Repo](https://github.com/heliumdatacommons/TOPMed_RNAseq_CWL) 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) |
Path: workflow/rnaseq_pipeline_fastq.cwl Branch/Commit ID: master |
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Unaligned to aligned BAM
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Path: workflows/hello/exome_alignment_packed.cwl Branch/Commit ID: master Packed ID: align.cwl |
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Functional analyis of sequences that match the 16S SSU
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Path: workflows/16S_taxonomic_analysis.cwl Branch/Commit ID: master |
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trim-rnaseq-pe-dutp.cwl
Runs RNA-Seq BioWardrobe basic analysis with strand specific pair-end data file. |
Path: workflows/trim-rnaseq-pe-dutp.cwl Branch/Commit ID: master |
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Functional analyis of sequences that match the 16S SSU
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Path: workflows/16S_taxonomic_analysis.cwl Branch/Commit ID: f993cad |
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rRNA_selection.cwl
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Path: tools/rRNA_selection.cwl Branch/Commit ID: fa86fce |
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<YOUR CHALLENGE> Evaluation
BRIEF DESCRIPTION ABOUT THE CHALLENGE, e.g. This workflow will run and evaluate Docker submissions to the Awesome Challenge (syn123). Metrics returned are x, y, z. |
Path: workflow.cwl Branch/Commit ID: main |
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SetReadoutPulseShape
Set FADC pulse for high and low-gain channel. Apply transformations required by the simulation model (e.g., normalization, time shift) |
Path: workflows/SetReadoutPulseShape.cwl Branch/Commit ID: main |
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qiime2 Deblur detect/correct sequence data
Option 2: Deblur from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/ |
Path: packed/qiime2-step2-deblur.cwl Branch/Commit ID: qiime2-workflow Packed ID: qiime2-03-deblur.cwl |
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workflow.cwl
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Path: bioinformatics/tools/workflow.cwl Branch/Commit ID: master |
