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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.
Original languageEnglish
Pages (from-to)135-145
Number of pages11
JournalBriefings in Bioinformatics
Volume6
Issue number2
DOIs
Publication statusPublished - Jun-2005

Keywords

  • two-colour microarray
  • oligonucleotide microarray
  • QTL
  • quantitative trait locus
  • gene expression
  • microarray

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