新型长链非编码RNA(lncRNA)的生物信息学研究进展  

Progress on Bioinformatic Research of lncRNA

作　　者：原佳沛 张浩文 鲁志[1] 

机构地区：[1]生物信息学教育部重点实验室,清华大学生命科学学院,北京100084

出　　处：《生物化学与生物物理进展》2013年第7期634-640,共7页Progress In Biochemistry and Biophysics

摘　　要：非编码RNA(noncoding RNA,ncRNA)是指不被翻译成蛋白质的一类RNA,近几年来关于它们的功能研究越来越引起人们的重视.现在已经发现了一些中小型ncRNA,比如microRNA、snoRNA、tRNA等,但是关于长ncRNA(lncRNA)的研究还不够完善.本篇综述回顾了ncRNA特别是lncRNA的生物信息学研究进展,包括它们的研究历程、基本特点、与疾病的关系,以及对已有的预测非编码RNA的计算机方法进行了分析和比较,并且介绍了利用机器学习模型整合新一代高通量测序数据的方法.Noncoding RNA （ncRNA） refers to any RNA that is functional without being translated into proteins. Recently, people have paid more and more attention on various types of novel ncRNAs. Some small ncRNAs have already been identified and well studied, such as microRNAs, snoRNAs, tRNA, etc. However, the fields of long noncoding RNA （lncRNA） have not been well explored. This paper reviewed the research progress of ncRNA, especially the lncRNA, including the historical overview, the basic characteristics and the relationship with diseases. We also compared the prediction methods of ncRNA, and introduced an integrative strategy to combine the high throughput sequencing data in the prediction ofncRNA.

关 键 词：非编码RNA 长链非编码RNA 非编码RNA预测 机器学习 

分 类 号：Q6[生物学—生物物理学]