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首页> 外文期刊>BioMed research international >Long Noncoding RNA Identification: Comparing Machine Learning Based Tools for Long Noncoding Transcripts Discrimination
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Long Noncoding RNA Identification: Comparing Machine Learning Based Tools for Long Noncoding Transcripts Discrimination

机译:长度非编码RNA识别:比较基于机器学习的工具,用于长时间的非编码转录物歧视

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摘要

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 incRNAs 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.
机译:长的非致rna(lncrna)是一种具有长度超过200个核苷酸的非沉积RNA,近年来引起了人们的兴趣。 许多研究证实,人类基因组含有数千个Incrnas,这对细胞过程的一些临界调节剂产生了很大的影响。 随着高通量测序技术的出现,大量的序列正在等待开发。 因此,开发了许多程序以区分编码和长度非编码转录物之间的差异。 通常设计不同的程序,以在不同的情况下使用,并且根据某种情况选择合适的方法是明智和实用的。 在本次审查中,总结了几种流行的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。

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