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.

DOI: https://doi.org/10.1093/bib/6.2.135

URL: http://bib.oxfordjournals.org/cgi/content/abstract...

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.

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