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Statistical Methods in Molecular Evolution

Statistical Methods in Molecular Evolution
Catalogue Information
Field name Details
Dewey Class 572.838 (DDC 22)
Title Statistical Methods in Molecular Evolution ([Ebook]) / by Rasmus Nielsen editor
Added Personal Name Nielsen, Rasmus
Other name(s) SpringerLink (Online service)
Publication New York, NY : Springer , 2005
Physical Details : v.: digital
Series Statistics for Biology and Health 1431-8776
ISBN 9780387277332
Summary Note 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.:
System details note Online access to this digital book is restricted to susbcription institutions through IP address (only for SISSA users)
Internet Site http://dx.doi.org/10.1007/0-387-27733-1
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