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Briefings in Bioinformatics Advance Access published online on March 7, 2006

Briefings in Bioinformatics, doi:10.1093/bib/bbl002
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© The Author 2006. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Original Article

Normalization and quantification of differential expression in gene expression microarrays

Christine Steinhoff * and Martin Vingron


   Abstract

Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate preprocessing steps, proper normalization of the data and application of statistical testing procedures in the derivation of differentially expressed genes. This review summarizes methods that are available for these purposes and provides a brief overview of the available software tools.

Keywords: microarray; normalization; low-level analysis; differential gene expression.

Christine Steinhoff is a postdoctoral scientist in the Computational Molecular Biology Department at the Max Planck Institute for Molecular Genetics in Berlin. Her research interest focuses on epigenetic gene regulatory mechanisms especially based on gene expression experimental approaches.

Martin Vingron is the Director at the Max Planck Institute for Molecular Genetics in Berlin and Head of the Department for Computational Molecular Biology. His current research interest lies in utilizing gene expression data as well as evolutionary data for the elucidation of gene regulatory mechanisms.


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