Data structures and algorithms for analysis of genetics of gene expression with Bioconductor: GGtools 3.x

被引：13

作者：

Carey, Vincent J. ^{[1
]}

Davis, Adam R. ^{[2
]}

Lawrence, Michael F. ^{[3
]}

Gentleman, Robert ^{[3
]}

Raby, Benjamin A. ^{[1
]}

机构：

[1] Brigham & Womens Hosp, Dept Med, Channing Lab, Boston, MA 02115 USA

[2] Brigham & Womens Hosp, I2B2 Natl Ctr Biocomp, Boston, MA 02115 USA

[3] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA

来源：

BIOINFORMATICS | 2009年 / 25卷 / 11期

基金：

美国国家卫生研究院;

关键词：

GENOME-WIDE ASSOCIATION;

D O I：

10.1093/bioinformatics/btp169

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Associations between DNA polymorphisms and mRNA abundance are a natural target of genetic investigations, and microarrays facilitate genome-wide and transcriptome-wide surveys of these associations. This work is motivated by emerging requirements for data architectures and algorithm interfaces to allow flexible exploration of public and private archives of genotyping and expression arrays. Using R/Bioconductor facilities, Phase II HapMap genotypes and Illumina 47K expression assay results archived on multiple populations may be interactively explored and analyzed using commodity hardware.

引用

页码：1447 / 1448

页数：2

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