Improved variance estimators for one- and two-parameter models of nucleotide substitution

JOURNAL OF THEORETICAL BIOLOGY

卷:254

Article

Wang, Hsiuying²  Tzeng, Yun-Huei³  Li, Wen-Hsiung^1,3 

[1] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA

[2] Acad Sinica, Inst Stat Sci, Taipei 11529, Taiwan

[3] Acad Sinica, Genom Res Ctr, Taipei 11529, Taiwan

关键词: substitution model;    variance estimator;    Taylor expansion;    empirical formulas;   

DOI  :  10.1016/j.jtbi.2008.04.034

来源: Elsevier

【 摘 要 】

The current variance estimators for Jukes and Cantor's one-parameter model and Kimura's two-parameter model tend to underestimate the true variances when the true proportion of differences between the two sequences under study is not small. In this paper, we developed improved variance estimators, using a higher-order Taylor expansion and empirical methods. The new estimators outperform the conventional estimators and provide accurate estimates of the true variances. (C) 2008 Elsevier Ltd, All rights reserved.

【 授权许可】

Free