Min Feng, Wang Sumei, Zhang Li
Department of Infectious Diseases, The Affiliated Chenggong Hospital of Xiamen University, The 174th Hospital of the Chinese People's Liberation Army, Xiamen, Fujian 361000, China.
Biomed Res Int. 2015;2015:831352. doi: 10.1155/2015/831352. Epub 2015 Sep 3.
Next-generation sequencing techniques have been rapidly emerging. However, the massive sequencing reads hide a great deal of unknown important information. Advances have enabled researchers to discover alternative splicing (AS) sites and isoforms using computational approaches instead of molecular experiments. Given the importance of AS for gene expression and protein diversity in eukaryotes, detecting alternative splicing and isoforms represents a hot topic in systems biology and epigenetics research. The computational methods applied to AS prediction have improved since the emergence of next-generation sequencing. In this study, we introduce state-of-the-art research on AS and then compare the research methods and software tools available for AS based on next-generation sequencing reads. Finally, we discuss the prospects of computational methods related to AS.
新一代测序技术正在迅速兴起。然而，大量的测序读数隐藏了许多未知的重要信息。技术进步使研究人员能够使用计算方法而非分子实验来发现可变剪接（AS）位点和异构体。鉴于AS对真核生物基因表达和蛋白质多样性的重要性，检测可变剪接和异构体是系统生物学和表观遗传学研究中的一个热门话题。自新一代测序出现以来，应用于AS预测的计算方法已有改进。在本研究中，我们介绍了关于AS的前沿研究，然后比较了基于新一代测序读数可用于AS的研究方法和软件工具。最后，我们讨论了与AS相关的计算方法的前景。
