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Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets

Luo, Arong; Qiao, Huijie; Zhang, Yanzhou; Shi, Weifeng; Ho, Simon YW; Xu, Weijun; Zhang, Aibing; Zhu, Chaodong


BACKGROUND Explicit evolutionary models are required in maximum-likelihood and Bayesian inference, the two methods that are overwhelmingly used in phylogenetic studies of DNA sequence data. Appropriate selection of nucleotide substitution models is important because the use of incorrect models can mislead phylogenetic inference. To better understand the performance of different model-selection criteria, we used 33,600 simulated data sets to analyse the accuracy, precision, dissimilarity, and...[Show more]

CollectionsANU Research Publications
Date published: 2010-08-09
Type: Journal article
Source: BMC Evolutionary Biology
DOI: 10.1186/1471-2148-10-242


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