新一代高通量RNA测序数据的处理与分析  

A Review on The Processing and Analysis of Next-generation RNA-seq Data

作　　者：王曦[1] 汪小我[1] 王立坤[1,2] 冯智星[1] 张学工[1] 

机构地区：[1]生物信息学教育部重点实验室,清华信息科学与技术国家实验室(筹)生物信息学研究部,清华大学自动化系,北京100084 [2]吉林大学计算机科学与技术学院,长春130012

出　　处：《生物化学与生物物理进展》2010年第8期834-846,共13页Progress In Biochemistry and Biophysics

基　　金：国家自然科学基金资助项目(60702002,60721003,30873464,60905013);东南大学生物电子学国家重点实验室开放研究基金资助项目~~

摘　　要：随着新一代高通量DNA测序技术的快速发展,RNA测序(RNA-seq)已成为基因表达和转录组分析新的重要手段.RNA-seq技术产生的海量数据为生物信息学带来了新的机遇和挑战.有效地对测序数据进行针对性的生物信息学处理和分析,成为RNA-seq技术能否在科学探索中发挥重大作用的关键.以新一代Illumina/Solexa测序平台所产生的数据为例,在扼要介绍高通量RNA-seq测序流程的基础上,对RNA-seq数据处理和分析的方法和现有软件做一个较为全面的综述,并对其中有待进一步研究的问题进行展望。With the rapid development of the next-generation sequencing（NGS） technology,high-throughput RNA sequencing or RNA-seq is becoming a key experimental approach in the study of gene expression and transcriptome.The overwhelming amount of RNA-seq data brings new opportunities and challenges for bioinformatics.The efficient and effective processing and analysis of RNA-seq data is becoming the bottleneck for turning the possibilities provided by the new technology into real scientific discovery.A general description of the typical RNA-seq protocol was given.A complete review of major methods and available software in the processing and analysis of RNA-seq data were presented,using the Illumina/Solexa platform as an example.Questions that are still open and awaiting further research are also discussed.

关 键 词：高通量RNA测序 转录组 基因表达 数据处理与分析 生物信息学 

分 类 号：Q5[生物学—生物化学] Q6