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Statistical Theory and Methods for Evolutionary Genomics$
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Xun Gu

Print publication date: 2010

Print ISBN-13: 9780199213269

Published to Oxford Scholarship Online: January 2011

DOI: 10.1093/acprof:oso/9780199213269.001.0001

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Modeling the Genomic Evolution of Gene Contents

Modeling the Genomic Evolution of Gene Contents

Chapter:
(p.167) 9 Modeling the Genomic Evolution of Gene Contents
Source:
Statistical Theory and Methods for Evolutionary Genomics
Author(s):

Xun Gu

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199213269.003.0009

Whole-genome analysis, e.g., the presence or absence of gene families over multiple genomes, is becoming an attractive approach for extracting the bulk phylogenetic signals and exploring the pattern of genome evolution. This chapter introduces several statistical models for this purpose. These include the likelihood function, the birth-death model with lateral gene transfer, the blocks model, the equal birth-death rate model; and the constant-birth, proportional-death model.

Keywords:   genome evolution, birth-death model, likelihood function, blocks model, equal birth-death rate model, constant-birth proportional-death model

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