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长链非编码RNA鉴定:比较基于机器学习的长链非编码转录本鉴别工具

Long Noncoding RNA Identification: Comparing Machine Learning Based Tools for Long Noncoding Transcripts Discrimination.

作者信息

Han Siyu, Liang Yanchun, Li Ying, Du Wei

机构信息

College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China.

College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China; Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China.

出版信息

Biomed Res Int. 2016;2016:8496165. doi: 10.1155/2016/8496165. Epub 2016 Nov 29.

Abstract

Long noncoding RNA (lncRNA) is a kind of noncoding RNA with length more than 200 nucleotides, which aroused interest of people in recent years. Lots of studies have confirmed that human genome contains many thousands of lncRNAs which exert great influence over some critical regulators of cellular process. With the advent of high-throughput sequencing technologies, a great quantity of sequences is waiting for exploitation. Thus, many programs are developed to distinguish differences between coding and long noncoding transcripts. Different programs are generally designed to be utilised under different circumstances and it is sensible and practical to select an appropriate method according to a certain situation. In this review, several popular methods and their advantages, disadvantages, and application scopes are summarised to assist people in employing a suitable method and obtaining a more reliable result.

摘要

长链非编码RNA(lncRNA)是一类长度超过200个核苷酸的非编码RNA,近年来引起了人们的关注。大量研究证实,人类基因组包含数千种lncRNA,它们对细胞过程的一些关键调节因子有很大影响。随着高通量测序技术的出现,大量序列有待开发。因此,人们开发了许多程序来区分编码转录本和长链非编码转录本之间的差异。不同的程序通常设计用于不同的情况,根据特定情况选择合适的方法是明智且实用的。在本综述中,总结了几种常用方法及其优缺点和应用范围,以帮助人们采用合适的方法并获得更可靠的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dec6/5153550/ba293a8b4a65/BMRI2016-8496165.001.jpg

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