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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Clearly explains the assumptions and logic of making inferences about phylogenies, and using them to make inferences about evolutionary processes. Phylogenies evolutionary trees are basic to thinking about jjoseph analyzing differences between species.

Statistical, computational, and algorithmic work on them has been ongoing for four decades, with great advances in understanding.

Inferring Phylogenies

Yet no book has summarized this work until now. Inferring Phylogenies explains clearly the assumptions and logic of making inferences about phylogenies, and using them to make inferences about evolutionary processes. It is an essential text and reference for anyone who wants to understand how phylogenies are reconstructed and how they are used.

As phylogenies are inferred with various kinds of data, this book concentrates on some of the central ones: Also covered are restriction sites, RAPDs, and microsatellites. Phylogeniex Phylogenies is intended for graduate-level courses, assuming some knowledge of statistics, mathematics calculus and fundamental matrix algebramolecular sequences, and quantitative genetics.

Joe Felsenstein is Professor in the Department of Genome Sciences at the University of Washington, Seattle, where he has taught for more than thirty years.


He earned a B.

He served as President of the Society for the Study of Evolution in and has received numerous awards, including: His work has ranged from theoretical evolutionary genetics to statistical methods for inferring phylogenies.

His current research interests include the development of coalescent-based Markov Chain Monte Carlo methods of computing likelihoods for models of evolution within species, and development of statistical methods for inferences about quantitative characters within and between species. For that reason, many biologists view him as the father of statistical phylogenetics. It was with this in mind that I finally got my hands on jiseph long-awaited book, Inferring Phylogenies.

The short answer is: Inferring Phylogenies is quite simply an instant classic. Felsenstein provides beautiful and creative accounts of many topics.

It will be a long time before there will be a comparable book; perhaps the field is now growing too frlsenstein for there to ever be one.

The publication of Inferring Phylogenies is a milestone for evolutionary biology in general and phylogenetics in particular.

For researchers new to this area, the book describes contemporary methodology in a way that is both accessible and authoritative.

For ‘old hands,’ it provides a wealth of background and commentary. The breadth is very wide with all the main expected topics.

It is hard to imagine how any lab could function without this book.

The power of this volume lies in its unique combination of an accessible style with undoubted intellectual authority. Over 30 years ago Crow and Kimura produced what has become the cornerstone of theoretical population genetics. Felsenstein has now given us the definitive resource for anyone interested in phylogenetics.

Inferring Phylogenies.

This volume is an outstanding achievement. Holmes, The Quarterly Review of Biology. Oxford University Press is a department of the University of Felsennstein. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide.


US Higher Education Not for profit.

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Inferring Phylogenies.

Reviews “Joe Felsenstein has had more positive influence on the statistical revolution of phylogenetics than any other researcher in the field. Table of Contents 1.

Counting evolutionary changes 3. How many trees are there? Finding the best tree by heuristic search 5. Finding the best tree by branch and bound 6. Ancestral states and branch lengths 7. Variants of parsimony 8. Statistical properties of gelsenstein A digression on history and philosophy Distance matrix methods inffrring Quartets of species Models of DNA jkseph Models of protein evolution Bayesian inference of phylogenies Testing models, trees, and clocks Bootstrap, jackknife, and permutation tests Brownian motion and gene frequencies Likelihood calculations on coalescents Coalescents and species trees Alignment, gene families, and genomics Consensus trees and distances between trees Biogeography, hosts, and parasites Phylogenies and paleontology Tests based on tree shape Process and Pattern in Evolution Charlotte J.

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