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Statistical Methods in Molecular Evolution

Statistical Methods in Molecular Evolution

Rasmus Nielsen
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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
Categorie:
Anno:
2005
Casa editrice:
Springer
Lingua:
english
Pagine:
503
ISBN 10:
0387223339
ISBN 13:
9780387223339
Collana:
Statistics for biology and health
File:
PDF, 9.13 MB
IPFS:
CID , CID Blake2b
english, 2005
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