Jump to ContentJump to Main Navigation
Codon EvolutionMechanisms and Models$
Users without a subscription are not able to see the full content.

Gina M. Cannarozzi and Adrian Schneider

Print publication date: 2012

Print ISBN-13: 9780199601165

Published to Oxford Scholarship Online: May 2015

DOI: 10.1093/acprof:osobl/9780199601165.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 15 September 2019

Robust estimation of natural selection using parametric codon models

Robust estimation of natural selection using parametric codon models

Chapter:
(p.111) Chapter 8 Robust estimation of natural selection using parametric codon models
Source:
Codon Evolution
Author(s):

Gavin A. Huttley

Von Bing Yap

Publisher:
Oxford University Press
DOI:10.1093/acprof:osobl/9780199601165.003.0008

This chapter focuses on the use of parametric codon models to test the mode of natural selection. It describes the nature of the different models, demonstrating the importance of model assumptions to reliably estimating selective neutrality. It examines the relationship between context-dependent processes on non-overlapping units and those relevant to codon evolutionary processes. To illustrate theoretical properties, the chapter presents both simple simulations and analyses of neutrally evolving DNA sequences from primates. It shows that estimates of natural selection using the commonly employed codon models of Muse and Gaut (1994), and of Goldman and Yang (1994), can both be strongly biased by sequence composition. It further illustrates that the Goldman and Yang model can have counterintuitive behaviour in hierarchical hypothesis-testing contexts.

Keywords:   natural selection, parametric codon models, context-dependent process, DNA sequence, primates

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 .