Model Selection in Phylogenetics

Investigation into model selection has a long history in the statistical literature. As model-based approaches begin dominating systematic biology, increased attention has focused on how models should be selected for distance-based, likelihood, and Bayesian phylogenetics. Here, we review issues that...

Full description

Saved in:

Bibliographic Details
Published in:	Annual review of ecology, evolution, and systematics evolution, and systematics, 2005-12, Vol.36 (1), p.445-466
Main Authors:	Sullivan, Jack, Joyce, Paul
Format:	Article
Language:	eng
Subjects:	Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences Biology Data analysis Data models Datasets Decision theory Deoxyribonucleic acid DNA Evolution Fundamental and applied biological sciences. Psychology General aspects Modeling Nature Nucleotides Parametric models Phylogenetics Phylogeny Posadas Quantitative genetics Science Studies Taxonomy Topology
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Investigation into model selection has a long history in the statistical literature. As model-based approaches begin dominating systematic biology, increased attention has focused on how models should be selected for distance-based, likelihood, and Bayesian phylogenetics. Here, we review issues that render model-based approaches necessary, briefly review nucleotide-based models that attempt to capture relevant features of evolutionary processes, and review methods that have been applied to model selection in phylogenetics: likelihood-ratio tests, AIC, BIC, and performance-based approaches.
ISSN:	1543-592X 1545-2069