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

被引:14
作者
Wang Xi [1 ,2 ]
Wang Xiao-Wo [1 ,2 ]
Wang Li-Kun [1 ,2 ,3 ]
Feng Zhi-Xing [1 ,2 ]
Zhang Xue-Gong [1 ,2 ]
机构
[1] Tsinghua Univ, Minist Educ, Key Lab Bioinformat, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Bioinformat Div, TNLIST Dept Automat, Beijing 100084, Peoples R China
[3] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
基金
中国国家自然科学基金;
关键词
high-throughput RNA sequencing; transcriptome; gene expression; data processing and analysis; bioinformatics; GENE-EXPRESSION; CHIP-SEQ; FLUORESCENT NUCLEOTIDE; SEQUENCE; TRANSCRIPTOME; ALIGNMENT; TOOL; IDENTIFICATION; VISUALIZATION; CHALLENGES;
D O I
10.3724/SP.J.1206.2009.00151
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:834 / 846
页数:13
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