Evidence map›Paper›PMID 38396040›Full record

ReviewNature protocols2024

rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data.

Yuanyuan Wang, Zhijie Xie, Eric Kutschera, Jenea I Adams, Kathryn E Kadash-Edmondson, Yi Xing

Abstract readReview
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In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed
49.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

186 citing papers in PubMed, 209 citations in OpenAlex.

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126 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yuanyuan Wang *Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, USA.
Zhijie Xie *Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-2003-0472
Eric KutscheraCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-2160-1820
Jenea I AdamsCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-2590-3594
Kathryn E Kadash-EdmondsonCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-1437-0147
Yi XingCenter for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. xingyi@chop.edu.ORCID 0000-0001-9257-7613
Children's Hospital of Philadelphia · US

Funding

VARIATION AND REGULATION OF ALTERNATIVE SPLICING IN HUMAN TRANSCRIPTOMESR01GM088342 · NIGMS · UNIVERSITY OF IOWA · PI XING, YI · 2010 to 2020
$2.9M
ProteoSeq - An Integrative Computational Framework for ProteotranscriptomicsR01GM117624 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XING, YI · 2016 to 2018
$1.1M
NIGMS NIH HHS R01 GM088342NIGMS NIH HHS R01 GM117624U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM088342U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM117624
6 · The paper itself

Abstract

Pre-mRNA alternative splicing is a prevalent mechanism for diversifying eukaryotic transcriptomes and proteomes. Regulated alternative splicing plays a role in many biological processes, and dysregulated alternative splicing is a feature of many human diseases. Short-read RNA sequencing (RNA-seq) is now the standard approach for transcriptome-wide analysis of alternative splicing. Since 2011, our laboratory has developed and maintained Replicate Multivariate Analysis of Transcript Splicing (rMATS), a computational tool for discovering and quantifying alternative splicing events from RNA-seq data. Here we provide a protocol for the contemporary version of rMATS, rMATS-turbo, a fast and scalable re-implementation that maintains the statistical framework and user interface of the original rMATS software, while incorporating a revamped computational workflow with a substantial improvement in speed and data storage efficiency. The rMATS-turbo software scales up to massive RNA-seq datasets with tens of thousands of samples. To illustrate the utility of rMATS-turbo, we describe two representative application scenarios. First, we describe a broadly applicable two-group comparison to identify differential alternative splicing events between two sample groups, including both annotated and novel alternative splicing events. Second, we describe a quantitative analysis of alternative splicing in a large-scale RNA-seq dataset (~1,000 samples), including the discovery of alternative splicing events associated with distinct cell states. We detail the workflow and features of rMATS-turbo that enable efficient parallel processing and analysis of large-scale RNA-seq datasets on a compute cluster. We anticipate that this protocol will help the broad user base of rMATS-turbo make the best use of this software for studying alternative splicing in diverse biological systems.

Indexed as

Alternative SplicingRNAHumansMultivariate AnalysisRNA-SeqRNA SplicingSequence Analysis, RNASoftwareRNA

Identifiers

PMID38396040
OpenAlexW4392111189

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.