The contributions of Joseph Felsenstein to the theory and practice of phylogenetic inference are well known. Felsenstein advanced the use of likelihood. Joe Felsenstein has had more positive influence on the statistical revolution of phylogenetics than any other researcher in the field. For that. Joseph Felsenstein, Inferring Phylogenies, Sinauer Assoc., , pp. xx + This is an important and very useful book that should be of interest to many.

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Phylogenies are inferred with various kinds of data. His work has ranged from theoretical evolutionary genetics to statistical methods for inferring phylogenies.

Oxford University Press is a department of the University of Oxford. SinauerOct 6, – Science – pages. Jpseph publication of Inferring Phylogenies is a milestone for evolutionary biology in general and phylogenetics in particular. This book concentrates on some of the central ones: The breadth is very wide with all the main expected topics.

Caesar rated it it was ok Nov 13, Inferring Phylogenies does just that in a single, compact volume. An impressive overview on the statistical methods used in phylogeny.

The contributions of Joseph Felsenstein to the theory and practice of phylogenetic inference are well known. Although many simple examples are provided to illustrate particular theoretical points, few phlogenies of real data are discussed. Felsenstein advanced the use of likelihood methods in phylogenetic inference and wrote one of the most widely used software tools for inferring phylogenies, PHYLIP.

There are not enough worked examples in the text to clarify the endless equations presented. Also covered are restriction sites, RAPDs, and microsatellites. Distance matrix methods Felsenstein has succeeded in his goal of providing an informative and useful guide to the techniques employed to develop and analyze phylogenetic trees. These descriptions of inference algorithms are potentially useful for writing software and the like, but their real value is in Felsenstein’s enumeration of the strengths, weaknesses, and idiosyncrasies of each of the various methods.


It assume a lot of prior knowledge that disbars it from all but a specialised audience, this is not for the general biologist or even the molecular biologist who might be interested in phylogenetics – it is aim firmly at bioinformaticians with a strong background in statistics and probability this includes the application of calculus and matrix algebra to equations exploring likelihood etc.

Although the book does not offer much help in the logistics of data analysis, it does constitute a well-organized resource that will inform study design and allow the critical interpretation of studies that have already been done. Bastian Greshake Tzovaras rated it liked it Feb 24, Tomomi Landsman rated it it was ok Sep 01, Go directly to our online catalogue. A potential complaint of human geneticists will be the lack of interesting examples.

Inferring Phylogenies

Chapters of particular interest will likely be those describing the various methods of inference chapters 1, 2, 11, and phyoogenieswhich are useful for choosing and evaluating methods for use with one’s own data.

In addition some terms were introduced with little or know explanation again an assumption of pre-existing knowledge that may not be present – perhaps a glossary would help sort this issue out, it would certainly have been useful in keeping up with the plethora of technical terms bandied about.

Phylogenies evolutionary trees are basic to thinking about and analyzing differences between species. Want to Read saving…. Calvin rated it really liked it Apr 06, Inferring Phylogenies is intended for graduate-level courses, assuming some knowledge of statistics, velsenstein calculus and fundamental matrix algebramolecular sequences, and quantitative genetics.

Inferring Phylogenies explains clearly velsenstein assumptions and logic of making inferences about phylogenies, and using them to make inferences about evolutionary processes.

Ancestral states and branch lengths 7. Want to Read Currently Reading Read. Statistical properties of parsimony Nathanael Herrera rated it liked it Jan 08, Over 30 years ago Crow and Kimura produced what has become the cornerstone of theoretical population genetics. Inferring Phylogenies is not an instruction book and is not intended to be one. Likelihood calculations on coalescents Phylogenies, or evolutionary trees, are the basic structures necessary to think about and analyze differences between species.


Inferring Phylogenies.

It is an imferring text and reference for anyone who wants to understand how phylogenies are reconstructed and how they are used. For ‘old hands,’ it provides a wealth of background and commentary. Yet no book has summarized this work until now.

For researchers new to this area, the book describes contemporary methodology in a way that is both accessible and authoritative. Statistical, computational, and algorithmic work in this field has been ongoing for four decades now, and there have been great advances in understanding. Felsenstein addresses both of these problems at length in Inferring Phylogenies, and he is well qualified to do so. This book is not yet featured on Listopia.

Inferring Phylogenies.

Process and Pattern in Evolution Charlotte J. National Center for Biotechnology InformationU. Phylogenies evolutionary trees are basic to thinking about and analyzing differences between species. Account Options Sign in. Karen Siu-ting rated it really liked it Oct 21, There is a lot of useful information on approaches to phylogeny and how to test various hypothesis and parameters related to evolutionary processes using phylogenetic approaches.

Variants of parsimony 8. Yet infeerring book had summarized this work. Tests based on tree shape The clear goal of Inferring Phylogenies is to provide readers with a comprehensive discussion of the theory and algorithms behind the inference of phylogenetic trees. Apr 14, Bill Tyne rated it it was ok Shelves: