Computational Identification of Alternative Splicing in Next-Generation Sequencing Data

ZOU Quan; LI Xu-bin; LIN Zi-yu; JIANG Yi; LIN Chen

doi:10.3969/j.issn.0372-2112.2012.02.023

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Computational Identification of Alternative Splicing in Next-Generation Sequencing Data

更新时间：2025-07-16

- Computational Identification of Alternative Splicing in Next-Generation Sequencing Data
- Acta Electronica Sinica Vol. 40, Issue 2, Pages: 350-357(2012)
- 作者机构：
  
  厦门大学信息科学与技术学院,福建,厦门,361005
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.02.023
  CLC： TP391
- Published：2012
- 稿件说明：
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ZOU Quan, LI Xu-bin, LIN Zi-yu, et al. Computational Identification of Alternative Splicing in Next-Generation Sequencing Data[J]. Acta Electronica Sinica, 2012, 40(2): 350-357.
DOI：

ZOU Quan, LI Xu-bin, LIN Zi-yu, et al. Computational Identification of Alternative Splicing in Next-Generation Sequencing Data[J]. Acta Electronica Sinica, 2012, 40(2): 350-357. DOI： 10.3969/j.issn.0372-2112.2012.02.023.

摘要

随着测序技术的发展

下一代测序技术(Next-Generation Sequencing)给生物信息学领域研究带来了新的机遇和挑战.由于选择性剪切(alternative splicing

AS)在真核生物基因表达和蛋白质多样性方面的重要性

识别选择性剪切位点一直都是研究的重点.下一代测序技术的出现

使得选择性剪切研究的计算方法不断地变化.介绍了选择性剪切过去和目前研究的状况

然后总结了基于RNA-seq数据的选择性剪切研究方法、软件以及数据库

并利用了RNA-seq数据比较了相关软件

最后讨论了选择性剪切中计算方法的发展方向和前景.

Abstract

With the development of sequencing technology

Next-Generation Sequencing brought opportunities and challenges to the bioinformatics.As the importance of alternative splicing in gene expression and protein diversity in eukaryotes

alternative splicing identification has been the focus of bioinformatics research.The computation methods for alternative splicing need to be improved since the appearance of Next-Generation Sequencing.We introduce the past and current research of AS firstly;then conclude and compare the research methods

software and databases of AS based on RNA-seq data;finally try to discuss the development and prospect of the computational methods on AS.

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