Chapter

Phylogenomic Expression Analysis between Duplicate Genes

Xun Gu

in Statistical Theory and Methods for Evolutionary Genomics

Published in print November 2010 | ISBN: 9780199213269
Published online January 2011 | e-ISBN: 9780191594762 | DOI: https://dx.doi.org/10.1093/acprof:oso/9780199213269.003.0005
Phylogenomic Expression Analysis between Duplicate Genes

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Microarray technology can simultaneously monitor the expression levels of thousands of genes across many experimental conditions or treatments, providing us with unique opportunities to investigate the evolutionary pattern of gene regulation. This chapter focuses on how to model the evolution of gene family expression with three goals: (i) statistical methods such as the likelihood ratio test can be applied for exploring the evolutionary pattern of gene expression; (ii) evolutionary tracing of expression changes can be predicted by the Bayesian method; and (iii) the statistical model can be utilized to study the expression-motif association. Several statistical models have been developed, most of which viewed gene expression data as continuous so that the modeling was based on the random-walk (Brownian) model. The chapter discusses these models and their applications.

Keywords: microarray technology; gene family evolution; statistical model; random-walk model; Brownian

Chapter.  8455 words.  Illustrated.

Subjects: Biomathematics and Statistics

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