Inferring Phylogenies

Inferring Phylogenies
Author: Joseph Felsenstein
Publisher: Sinauer Associates Incorporated
Total Pages: 664
Release: 2004-01
Genre: Science
ISBN: 9780878931774


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Phylogenies, or evolutionary trees, are the basic structures necessary to think about and analyze differences between species. Statistical, computational, and algorithmic work in this field has been ongoing for four decades now, and there have been great advances in understanding. Yet no book has summarized this work. Inferring Phylogenies does just that in a single, compact volume. Phylogenies are inferred with various kinds of data. This book concentrates on some of the central ones: discretely coded characters, molecular sequences, gene frequencies, and quantitative traits. Also covered are restriction sites, RAPDs, and microsatellites.


Inferring Phylogenies
Language: en
Pages: 664
Authors: Joseph Felsenstein
Categories: Science
Type: BOOK - Published: 2004-01 - Publisher: Sinauer Associates Incorporated

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Phylogenies, or evolutionary trees, are the basic structures necessary to think about and analyze differences between species. Statistical, computational, and a
Inferring Phylogenies EBook
Language: en
Pages: 580
Authors: Joseph Felsenstein
Categories:
Type: BOOK - Published: 2003 - Publisher:

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Phylogenetic Inference, Selection Theory, and History of Science
Language: en
Pages: 553
Authors: Anthony William Fairbank Edwards
Categories: Mathematics
Type: BOOK - Published: 2018-07-19 - Publisher: Cambridge University Press

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Seminal papers by A. W. F. Edwards, published together for the first time with commentaries from leading experts to contextualise his contribution.
Phylogenetics
Language: en
Pages: 444
Authors: E. O. Wiley
Categories: Science
Type: BOOK - Published: 2011-06-07 - Publisher: John Wiley & Sons

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The long-awaited revision of the industry standard on phylogenetics Since the publication of the first edition of this landmark volume more than twenty-five yea
Analysis of Phylogenetics and Evolution with R
Language: en
Pages: 221
Authors: Emmanuel Paradis
Categories: Science
Type: BOOK - Published: 2006-11-25 - Publisher: Springer Science & Business Media

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This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. The book starts with a presentation of differ