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Statistical methods in molecular evolution / Rasmus Nielsen, editor
(Statistics for biology and health)

データ種別 電子書籍
出版者 New York : Springer
出版年 c2005

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URL オンライン

EB2117670


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書誌ID OB01028035
本文言語 英語
一般注記 Includes bibliographical references and index
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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著者標目 Nielsen, Rasmus 1970-
件 名 LCSH:Molecular evolution -- Mathematical models  全ての件名で検索
LCSH:Molecular evolution -- Statistical methods  全ての件名で検索
LCSH:Molecular biology -- Statistical methods  全ての件名で検索
LCSH:Evolution (Biology) -- Statistical methods  全ての件名で検索
分 類 LCC:QH371.3.M37
DC22:572.838
巻冊次 ISBN:0387223339 RefWorks出力(各巻)
資料種別 機械可読データファイル
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