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

  • Jenea I. Adams
  • , Eric Kutschera
  • , Qiang Hu
  • , Chun Jie Liu
  • , Qian Liu
  • , Kathryn Kadash-Edmondson
  • , Song Liu
  • , Yi Xing
  • University of Pennsylvania
  • Children's Hospital of Philadelphia
  • Roswell Park Cancer Institute

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numberqzaf036
JournalGenomics, Proteomics and Bioinformatics
Volume23
Issue number3
DOIs
StatePublished - Jun 1 2025

Keywords

  • Alternative splicing
  • Bioinformatics
  • Cloud computing
  • RNA-seq
  • Transcriptomics

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