Jump to ContentJump to Main Navigation
Statistical Theory and Methods for Evolutionary Genomics$
Users without a subscription are not able to see the full content.

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

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 27 May 2020

Modeling the Genomic Evolution of Gene Contents

Modeling the Genomic Evolution of Gene Contents

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

Xun Gu

Oxford University Press

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

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .