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Bioinformatics. 2009 Jun 1;25(11):1447-8. doi: 10.1093/bioinformatics/btp169. Epub 2009 Apr 5.

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

Author information

1
Channing Laboratory, Department of Medicine, I2B2 National Center for Biocomputing, Brigham and Women's Hospital, Boston, MA 02115, USA. stvjc@channing.harvard.edu

Abstract

SUMMARY:

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.

AVAILABILITY AND IMPLEMENTATION:

Open Source. Bioconductor 2.3 packages GGtools, GGBase, GGdata, hmyriB36. Freely available on the web at (http://www.bioconductor.org).

PMID:
19349284
PMCID:
PMC2682516
DOI:
10.1093/bioinformatics/btp169
[Indexed for MEDLINE]
Free PMC Article
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