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The Resource Statistical methods in molecular evolution, Rasmus Nielsen, editor

Statistical methods in molecular evolution, Rasmus Nielsen, editor

Label
Statistical methods in molecular evolution
Title
Statistical methods in molecular evolution
Statement of responsibility
Rasmus Nielsen, editor
Contributor
Subject
Language
eng
Summary
  • In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field, a section discussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating to estimation and model choice. The chapters are written by the leaders of field and they will take the reader from basic introductory material to the state-of-the-art statistical methods
  • This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution, and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory
Member of
Cataloging source
TEF
Dewey number
572.838
Illustrations
illustrations
Index
index present
LC call number
QH371.3.M37
LC item number
S73 2005
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1970-
http://library.link/vocab/relatedWorkOrContributorName
Nielsen, Rasmus
Series statement
Statistics for biology and health
http://library.link/vocab/subjectName
  • Molecular evolution
  • Molecular evolution
  • Molecular biology
  • Evolution (Biology)
  • Evolution, Molecular
  • Models, Statistical
  • Statistics as Topic
Label
Statistical methods in molecular evolution, Rasmus Nielsen, editor
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 [and others] -- 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
Control code
60496853
Dimensions
24 cm
Extent
xii, 504 pages
Isbn
9780387223339
Lccn
2005278438
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Label
Statistical methods in molecular evolution, Rasmus Nielsen, editor
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 [and others] -- 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
Control code
60496853
Dimensions
24 cm
Extent
xii, 504 pages
Isbn
9780387223339
Lccn
2005278438
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations

Library Locations

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      38.710138 -90.311107
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