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Combining microarrays and genetic analysis

Alberts, Rudi; Fu, Jingyuan; Swertz, Morris A.; Lubbers, L. Alrik; Albers, Casper J. and Jansen, Ritsert C. (2005). Combining microarrays and genetic analysis. Briefings in Bioinformatics, 6(2) pp. 135–145.

URL: http://bib.oxfordjournals.org/cgi/content/abstract...
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1093/bib/6.2.135
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Abstract

Gene expression can be studied at a genome-wide scale with the aid of modern microarray technologies. Expression profiling of tens to hundreds of individuals in a genetic population can reveal the consequences of genetic variation. In this paper it is argued that the design and analysis of such a study is not a matter of simply applying the existing and more-or-less standard computational tools for microarrays to a new type of experimental data. It is shown how to fully exploit the power of genetics through optimal experimental design and analysis for two major microarray technologies, cDNA two-colour arrays and Affymetrix short oligonucleotide arrays.

Item Type: Journal Article
ISSN: 1477-4054
Extra Information: microarray; gene expression; quantitative trait locus; QTL; two-colour microarray; oligonucleotide microarray
Academic Unit/Department: Mathematics, Computing and Technology
Item ID: 3766
Depositing User: Casper Albers
Date Deposited: 30 Jun 2006
Last Modified: 02 Dec 2010 19:50
URI: http://oro.open.ac.uk/id/eprint/3766
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