rMATS-cloud: Large-scale Alternative Splicing Analysis in the Cloud
Although gene expression analysis pipelines are often a standard part of bioinformatics analysis, with many publicly available cloud workflows, cloud-based alternative splicing analysis tools remain limited. Our lab released rMATS in 2014 and has continuously maintained it, providing a fast and versatile solution for quantifying alternative splicing from RNA sequencing (RNA-seq) data. Here, we present rMATS-cloud, a portable version of the rMATS workflow that can be run in virtually any cloud environment suited for biomedical research. We compared the time and cost of running rMATS-cloud with two RNA-seq datasets on three different platforms (Cavatica, Terra, and Seqera). Our findings demonstrate that rMATS-cloud handles RNA-seq datasets with thousands of samples, and therefore is ideally suited for the storage capacities of many cloud data repositories. rMATS-cloud is available at https://dockstore.org/workflows/github.com/Xinglab/rmats-turbo/rmats-turbo-cwl, https://dockstore.org/workflows/github.com/Xinglab/rmats-turbo/rmats-turbo-wdl, and https://dockstore.org/workflows/github.com/Xinglab/rmats-turbo/rmats-turbo-nextflow.
Authors
- Eric Kutschera (ORCID: https://orcid.org/0000-0002-2160-1820)
- Qiang Hu (ORCID: https://orcid.org/0000-0002-4090-5539)
- Kathryn E. Kadash-Edmondson (ORCID: https://orcid.org/0000-0002-1437-0147)
- Jenea I. Adams (ORCID: https://orcid.org/0000-0002-2590-3594)
- Chunjie Liu (ORCID: https://orcid.org/0000-0002-3008-3375)
- Yi Xing (ORCID: https://orcid.org/0000-0001-9257-7613)
- Song Liu (ORCID: https://orcid.org/0000-0001-6351-2941)
- Qian Liu (ORCID: https://orcid.org/0000-0003-1456-5099)
Institutions
- Roswell Park Comprehensive Cancer Center (US)
- Children's Hospital of Philadelphia (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Genomics Proteomics & Bioinformatics
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1093/gpbjnl/qzaf036
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health