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Statistical methods in molecular evolution

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目次 Markov models in molecular evolution
Nicolas Galtier, Olivier Gascuel, and Alain Jean-Marie
Introduction to applications of the likelihood function in molecular evolution
Jutta Buschbom and Arndt von Haeseler
Introduction to Markov chain Monte Carlo methods in molecular evolution
Bret Larget
Population genetics of molecular evolution
Carlos D. Bustamante
Maximum likelilhood methods for detecting adaptive protein evolution
Joseph P. Bielawski and Ziheng Yang
HyPhy: hypothesis testing using phylogenies
Sergei L. Kosakovsky Pond and Spencer V. Muse
Bayesian analysis of molecular evolution using MrBayes
John P. Huelsenbeck and Fredrik Ronquist
Estimation of divergence times from molecular sequence data
Jeffrey L. Thorne and Hirohisa Kishino
Markov models of protein sequence evolution
Matthew W. Dimmic
Models of microsatellite evolution
Peter Calabrese and Raazesh Sainudiin
Genome rearrangement
Rick Durrett
Phylogenetic hidden Markov models
Adam Siepel and David Haussler
The evolutionary causes and consequences of base composition variation
Gilean A.T. McVean
Statistical alignment: recent progress, new applications, and challenges
Gerton Lunter ... [et al.]
Estimating substitution matrices
Von Bing Yap and Terry Speed
Posterior mapping and posterior predictive distributions
Jonathan P. Bollback
Assessing the uncertainty in phylogenetic inference
Hidetoshi Shimodaira and Masami Hasegawa.
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本文を見る Full text available from Springer Mathematics and Statistics eBooks 2005 English/International

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登録日 2020.06.27
更新日 2020.06.28