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

被引:0
作者
Adams, Jenea, I [1 ,2 ]
Kutschera, Eric [2 ]
Hu, Qiang [3 ]
Liu, Chun-Jie [2 ]
Liu, Qian [3 ]
Kadash-Edmondson, Kathryn [2 ]
Liu, Song [3 ]
Xing, Yi [2 ,4 ,5 ]
机构
[1] Univ Penn, Genom & Computat Biol Grad Grp, Philadelphia, PA USA
[2] Childrens Hosp Philadelphia, Ctr Computat & Genom Med, Philadelphia, PA 19104 USA
[3] Roswell Pk Comprehens Canc Ctr, Dept Biostat & Bioinformat, Buffalo, NY 14203 USA
[4] Univ Penn, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA
[5] Childrens Hosp Philadelphia, Dept Biomed & Hlth Informat, Philadelphia, PA 19104 USA
来源
GENOMICS PROTEOMICS & BIOINFORMATICS | 2025年 / 23卷 / 03期
基金
美国国家卫生研究院;
关键词
Bioinformatics; Cloud computing; Transcriptomics; RNA-seq; Alternative splicing;
D O I
10.1093/gpbjnl/qzaf036
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页数:5
相关论文
共 12 条
[1]   Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues [J].
Bai, Zhiliang ;
Zhang, Dingyao ;
Gao, Yan ;
Tao, Bo ;
Zhang, Daiwei ;
Bao, Shuozhen ;
Enninful, Archibald ;
Wang, Yadong ;
Li, Haikuo ;
Su, Graham ;
Tian, Xiaolong ;
Zhang, Ningning ;
Xiao, Yang ;
Liu, Yang ;
Gerstein, Mark ;
Li, Mingyao ;
Xing, Yi ;
Lu, Jun ;
Xu, Mina L. ;
Fan, Rong .
CELL, 2024, 187 (23) :6760-6779.e24
[2]   Discovery of RNA splicing and genes in pieces [J].
Berk, Arnold J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (04) :801-805
[3]   Methods included: Sandardizing computational reuse and portability with the Common Workflow Language [J].
Crusoe, Michael R. ;
Abeln, Sanne ;
Iosup, Alexandru ;
Amstutz, Peter ;
Chilton, John ;
Tijanic, Nebojsa ;
Menager, Herve ;
Soiland-Reyes, Stian ;
Gavrilovic, Bogdan ;
Goble, Carole .
COMMUNICATIONS OF THE ACM, 2022, 65 (06) :54-+
[4]   Nextflow enables reproducible computational workflows [J].
Di Tommaso, Paolo ;
Chatzou, Maria ;
Floden, Evan W. ;
Prieto Barja, Pablo ;
Palumbo, Emilio ;
Notredame, Cedric .
NATURE BIOTECHNOLOGY, 2017, 35 (04) :316-319
[5]   The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational Research [J].
Lau, Jessica W. ;
Lehnert, Erik ;
Sethi, Anurag ;
Malhotra, Raunaq ;
Kaushik, Gaurav ;
Onder, Zeynep ;
Groves-Kirkby, Nick ;
Mihajlovic, Aleksandar ;
DiGiovanna, Jack ;
Srdic, Mladen ;
Bajcic, Dragan ;
Radenkovic, Jelena ;
Mladenovic, Vladimir ;
Krstanovic, Damir ;
Arsenijevic, Vladan ;
Klisic, Djordje ;
Mitrovic, Milan ;
Bogicevic, Igor ;
Kural, Deniz ;
Davis-Dusenbery, Brandi .
CANCER RESEARCH, 2017, 77 (21) :E3-E6
[6]   rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq data [J].
Shen, Shihao ;
Park, Juw Won ;
Lu, Zhi-xiang ;
Lin, Lan ;
Henry, Michael D. ;
Wu, Ying Nian ;
Zhou, Qing ;
Xing, Yi .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (51) :E5593-E5601
[7]  
Voss K., 2017, F1000Research., DOI [10.7490/f1000research.1114631.1, DOI 10.7490/F1000RESEARCH.1114631.1]
[8]   rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data [J].
Wang, Yuanyuan ;
Xie, Zhijie ;
Kutschera, Eric ;
Adams, Jenea I. ;
Kadash-Edmondson, Kathryn E. ;
Xing, Yi .
NATURE PROTOCOLS, 2024, 19 (04) :1083-1104
[9]   MARVEL: an integrated alternative splicing analysis platform for single-cell RNA sequencing data [J].
Wen, Wei Xiong ;
Mead, Adam J. ;
Thongjuea, Supat .
NUCLEIC ACIDS RESEARCH, 2023, 51 (05)
[10]   Alternative splicing as a source of phenotypic diversity [J].
Wright, Charlotte J. ;
Smith, Christopher W. J. ;
Jiggins, Chris D. .
NATURE REVIEWS GENETICS, 2022, 23 (11) :697-710