Alberts Rudi, Fu Jingyuan, Swertz Morris A, Lubbers L Alrik, Albers Casper J, Jansen Ritsert C
Groningen Bioinformatics Centre, University of Groningen, Kerklaan 30, 9751 NN, Haren, the Netherlands.
Brief Bioinform. 2005 Jun;6(2):135-45. doi: 10.1093/bib/6.2.135.
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.
借助现代微阵列技术，可以在全基因组范围内研究基因表达。对遗传群体中数十至数百个个体进行表达谱分析，可以揭示遗传变异的后果。本文认为，此类研究的设计和分析并非简单地将现有的、或多或少标准化的微阵列计算工具应用于新型实验数据。本文展示了如何通过对两种主要微阵列技术（cDNA双色阵列和Affymetrix短寡核苷酸阵列）进行优化实验设计和分析，来充分利用遗传学的力量。
