Detection, annotation and visualization of alternative splicing from RNA-Seq data with SplicingViewer

被引:25
|
作者
Liu, Qi [1 ]
Chen, Chong [1 ]
Shen, Enjian [1 ]
Zhao, Fangqing [2 ]
Sun, Zhongsheng [1 ,2 ]
Wu, Jinyu [1 ]
机构
[1] Wenzhou Med Coll, Inst Genom Med, Wenzhou 325035, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Next-generation sequencing; Transcriptome; RNA-Seq; Alternative splicing; Soft; Visualization; JUNCTIONS; TOOL; ALIGNMENTS; ULTRAFAST;
D O I
10.1016/j.ygeno.2011.12.003
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Alternative splicing is a crucial mechanism by which diverse gene products can be generated from a limited number of genes, and is thought to be involved in complex orchestration of eukaryotic gene expression. Next-generation sequencing technologies, with reduced time and cost, provide unprecedented opportunities for deep interrogation of alternative splicing at the genome-wide scale. In this study, an integrated software SplicingViewer has been developed for unambiguous detection, annotation and visualization of splice junctions and alternative splicing events from RNA-Seq data. Specifically, it allows easy identification and characterization of splice junctions, and holds a versatile computational pipeline for in-depth annotation and classification of alternative splicing with different patterns. Moreover, it provides a user-friendly environment in which an alternative splicing landscape can be displayed in a straightforward and flexible manner. In conclusion, SplicingViewer can be widely used for studying alternative splicing easily and efficiently. SplicingViewer can be freely accessed at http://bioinformatics.zj.cn/splicingviewer. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:178 / 182
页数:5
相关论文
共 50 条
  • [21] spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data
    Kristoffer Vitting-Seerup
    Bo Torben Porse
    Albin Sandelin
    Johannes Waage
    BMC Bioinformatics, 15
  • [22] ARH-seq: identification of differential splicing in RNA-seq data
    Rasche, Axel
    Lienhard, Matthias
    Yaspo, Marie-Laure
    Lehrach, Hans
    Herwig, Ralf
    NUCLEIC ACIDS RESEARCH, 2014, 42 (14) : e110
  • [23] ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events
    Luca Denti
    Raffaella Rizzi
    Stefano Beretta
    Gianluca Della Vedova
    Marco Previtali
    Paola Bonizzoni
    BMC Bioinformatics, 19
  • [24] Comparisons of computational methods for differential alternative splicing detection using RNA-seq in plant systems
    Liu, Ruolin
    Loraine, Ann E.
    Dickerson, Julie A.
    BMC BIOINFORMATICS, 2014, 15
  • [25] nagnag: Identification and quantification of NAGNAG alternative splicing using RNA-Seq data
    Yan, Xiaoyan
    Sablok, Gaurav
    Feng, Gang
    Ma, Jiaxin
    Zhao, Hongwei
    Sun, Xiaoyong
    FEBS LETTERS, 2015, 589 (15) : 1766 - 1770
  • [26] Alt Event Finder: a tool for extracting alternative splicing events from RNA-seq data
    Zhou, Ao
    Breese, Marcus R.
    Hao, Yangyang
    Edenberg, Howard J.
    Li, Lang
    Skaar, Todd C.
    Liu, Yunlong
    BMC GENOMICS, 2012, 13
  • [27] Comparisons of computational methods for differential alternative splicing detection using RNA-seq in plant systems
    Ruolin Liu
    Ann E Loraine
    Julie A Dickerson
    BMC Bioinformatics, 15
  • [28] GLiMMPS: robust statistical model for regulatory variation of alternative splicing using RNA-seq data
    Keyan Zhao
    Zhi-xiang Lu
    Juw Won Park
    Qing Zhou
    Yi Xing
    Genome Biology, 14
  • [29] ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events
    Denti, Luca
    Rizzi, Raffaella
    Beretta, Stefano
    Della Vedova, Gianluca
    Previtali, Marco
    Bonizzoni, Paola
    BMC BIOINFORMATICS, 2018, 19
  • [30] ASNEO: identification of personalized alternative splicing based neoantigens with RNA-seq
    Zhang, Zhanbing
    Zhou, Chi
    Tang, Lihua
    Gong, Yukang
    Wei, Zhiting
    Zhang, Gongchen
    Wang, Feng
    Liu, Qi
    Yu, Jing
    AGING-US, 2020, 12 (14): : 14633 - 14648