摘要
microRNA(miRNA)是一类内源性、长度为19-24个碱基的非编码小分子RNA。它在调控动植物的基因表达、生长发育等方面起着重要的作用。现阶段寻找miRNA的方法主要分为实验方法和计算预测两大类,其中,实验的方法很难测定表达量偏低或者特异表达的miRNA,也不适合进行基因组范围的发现。而计算预测的方法则恰好可以弥补这些不足。总结近几年计算预测miRNA的方法,归纳为三类,分别是基于同源性比较的方法、基于机器学习的方法和基于高通量测序的方法。最后对miRNA计算预测方法未来的发展方向作出了探讨。
microRNAs（miRNAs） are small non-coding RNAs about 19 to 24 nucleotides in length.They play a key role in gene regulation of animals and plants.Currently,there＇re mainly two different types of approaches to identify miRNAs,one is experimental,the other is computational.Experimental methods are usually incapable of detecting miRNAs that have low expression levels or are expressed tissue-specifically whereas computational approaches can overcome such disadvantage.The article presents an overview of computational approaches proposed for miRNA identification,which can be grouped into three categories： homology methods,machine learning methods and deep sequencing methods.In the end,the article expresses some opinions about the potential trend of miRNA identification.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第5期159-162,194,共5页
Computer Applications and Software
基金
国家自然科学基金项目(61173118)
