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
  • [41] NanoAsPipe: A transcriptome analysis and alternative splicing detection pipeline for MinION long-read RNA-seq
    Liu, Kan
    Jia, Shangang
    Du, Qian
    Zhang, Chi
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 1823 - 1826
  • [42] Mapping Splicing Quantitative Trait Loci in RNA-Seq
    Jia, Cheng
    Hu, Yu
    Liu, Yichuan
    Li, Mingyao
    CANCER INFORMATICS, 2014, 13 : 35 - 43
  • [43] Mapping Splicing Quantitative Trait Loci in RNA-Seq
    Jia, Cheng
    Hu, Yu
    Liu, Yichuan
    Li, Mingyao
    CANCER INFORMATICS, 2015, 14 : 45 - 53
  • [44] Comparing Segmentation Methods for Genome Annotation Based on RNA-Seq Data
    Cleynen, Alice
    Dudoit, Sandrine
    Robin, Stephane
    JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2014, 19 (01) : 101 - 118
  • [45] Comparing Segmentation Methods for Genome Annotation Based on RNA-Seq Data
    Alice Cleynen
    Sandrine Dudoit
    Stéphane Robin
    Journal of Agricultural, Biological, and Environmental Statistics, 2014, 19 : 101 - 118
  • [46] RNA-seq analysis reveals alternative splicing under salt stress in cotton, Gossypium davidsonii
    Guozhong Zhu
    Weixi Li
    Feng Zhang
    Wangzhen Guo
    BMC Genomics, 19
  • [47] RNA-seq analysis reveals alternative splicing under salt stress in cotton, Gossypium davidsonii
    Zhu, Guozhong
    Li, Weixi
    Zhang, Feng
    Guo, Wangzhen
    BMC GENOMICS, 2018, 19
  • [48] kakapo: easy extraction and annotation of genes from raw RNA-seq reads
    Ramanauskas, Karolis
    Igic, Boris
    PEERJ, 2023, 11
  • [49] Analysis of Genomic Alternative Splicing Patterns in Rat under Heat Stress Based on RNA-Seq Data
    Huang, Shangzhen
    Dou, Jinhuan
    Li, Zhongshu
    Hu, Lirong
    Yu, Ying
    Wang, Yachun
    GENES, 2022, 13 (02)
  • [50] Statistical modeling of isoform splicing dynamics from RNA-seq time series data
    Huang, Yuanhua
    Sanguinetti, Guido
    BIOINFORMATICS, 2016, 32 (19) : 2965 - 2972