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.

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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

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article

rMATS-cloud: Large-scale Alternative Splicing Analysis in the Cloud

Eric Kutschera, Qiang Hu, Kathryn E. Kadash-Edmondson, Jenea I. Adams et al.
Genomics Proteomics & Bioinformatics
Molecular Biology Techniques and Applications
article

rMATS-cloud: Large-scale Alternative Splicing Analysis in the Cloud

Eric Kutschera, Qiang Hu, Kathryn E. Kadash-Edmondson, Jenea I. Adams, Chunjie Liu, Yi Xing, Song Liu, Qian Liu
article en

Abstract

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.

Genomics Proteomics & BioinformaticsVol. 23(3)
Roswell Park Comprehensive Cancer Center (US), Children's Hospital of Philadelphia (US), University of Pennsylvania (US)
National Institutes of Health
Industry, innovation and infrastructure
Openalex Percentile: Top 91%
Molecular Biology Techniques and Applications
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