Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
TOPMed_RNA-seq
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) |
Path: topmed-workflows/TOPMed_RNAseq_pipeline/rnaseq_pipeline_fastq.cwl Branch/Commit ID: cwlprov_testing |
|
|
|
kfdrc_sentieon_gvcf_wf.cwl
|
Path: workflows/kfdrc_sentieon_gvcf_wf.cwl Branch/Commit ID: master |
|
|
|
snps_and_indels.cwl
|
Path: workflows/subworkflows/snps_and_indels.cwl Branch/Commit ID: master |
|
|
|
ocrevaluation-performance-wf-pack.cwl#main
|
Path: ochre/cwl/ocrevaluation-performance-wf-pack.cwl Branch/Commit ID: master Packed ID: main |
|
|
|
snp_callers_workflow.cwl
A workflow for running MuSe, MuTect, SomaticSniper, and Pindel. See [the github repository](https://github.com/BD2KGenomics/dockstore_workflow_snps) for details. |
Path: snp_callers_workflow.cwl Branch/Commit ID: master |
|
|
|
BD Rhapsody™ WTA Analysis Pipeline
The BD Rhapsody™ WTA Analysis Pipeline is used to create sequencing libraries from single cell transcriptomes without having to specify a targeted panel. After sequencing, the analysis pipeline takes the FASTQ files, a reference genome file and a transcriptome annotation file for gene alignment. The pipeline generates molecular counts per cell, read counts per cell, metrics, and an alignment file. |
Path: v1.8/rhapsody_wta_1.8.cwl Branch/Commit ID: master Packed ID: main |
|
|
|
chksum_for_a_corrupted_fastq_file.cwl
|
Path: cwls/chksum_for_a_corrupted_fastq_file.cwl Branch/Commit ID: 0.5.0 |
|
|
|
Functional analyis of sequences that match the 16S SSU
|
Path: workflows/16S_taxonomic_analysis.cwl Branch/Commit ID: fa86fce |
|
|
|
collate_unique_rRNA_headers.cwl
|
Path: tools/collate_unique_rRNA_headers.cwl Branch/Commit ID: 0fed1c9 |
|
|
|
Workflow to run pVACseq from detect_variants and rnaseq pipeline outputs
|
Path: definitions/subworkflows/pvacseq.cwl Branch/Commit ID: master |
