An integrated bioinformatics approach to improve two-color microarray quality-control: impact on biological conclusions.

R.I. van Haaften, C. Luceri, A. van Erk, C.T. Evelo

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Omics technology used for large-scale measurements of gene expression is rapidly evolving. This work pointed out the need of an extensive bioinformatics analyses for array quality assessment before and after gene expression clustering and pathway analysis. A study focused on the effect of red wine polyphenols on rat colon mucosa was used to test the impact of quality control and normalisation steps on the biological conclusions. The integration of data visualization, pathway analysis and clustering revealed an artifact problem that was solved with an adapted normalisation. We propose a possible point to point standard analysis procedure, based on a combination of clustering and data visualization for the analysis of microarray data.
Original languageEnglish
Pages (from-to)123-127
JournalGenes and nutrition
Volume4
Issue number2
DOIs
Publication statusPublished - 1 Jan 2009

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