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 language | English |
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Pages (from-to) | 135-145 |
Number of pages | 11 |
Journal | Briefings in Bioinformatics |
Volume | 6 |
Issue number | 2 |
DOIs | |
Publication status | Published - Jun-2005 |
Keywords
- two-colour microarray
- oligonucleotide microarray
- QTL
- quantitative trait locus
- gene expression
- microarray