Design and validation issues in RNA-seq experiments

被引：142

作者：

Fang, Zhide ^{[1
]}

Cui, Xiangqin ^{[1
]}

机构：

[1] Univ Alabama Birmingham, Dept Biostat, Sect Stat Genet, Birmingham, AL 35294 USA

来源：

BRIEFINGS IN BIOINFORMATICS | 2011年 / 12卷 / 03期

关键词：

experimental design; next-generation sequencing; RNA-seq; replicates; sample size; blocking; GENE-EXPRESSION; SAMPLE-SIZE; STRUCTURAL VARIATION; TRANSCRIPTOME; MICROARRAY; GENOME; POWER; RESOLUTION; LANDSCAPE; MAPS;

D O I：

10.1093/bib/bbr004

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The next-generation sequencing technologies are being rapidly applied in biological research. Tens of millions of short sequences generated in a single experiment provide us enormous information on genome composition, genetic variants, gene expression levels and protein binding sites depending on the applications. Various methods are being developed for analyzing the data generated by these technologies. However, the relevant experimental design issues have rarely been discussed. In this review, we use RNA-seq as an example to bring this topic into focus and to discuss experimental design and validation issues pertaining to next-generation sequencing in the quantification of transcripts.

引用

页码：280 / 287

页数：8

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