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Analysis of Phylogenetics and Evolution with R (Use R!), by Emmanuel Paradis
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The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification.
In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments. The second edition is completed updated, covering the full gamut of R packages for this area that have been introduced to the market since its previous publication five years ago. There is also a new chapter on the simulation of evolutionary data.
Graduate students and researchers in evolutionary biology can use this book as a reference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to implement these methods in R. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phylogeny estimation, tree drawing, phylogenetic comparative methods, and estimation of ancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.
- Sales Rank: #569761 in Books
- Published on: 2011-11-05
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .91" w x 6.10" l, 1.24 pounds
- Binding: Paperback
- 386 pages
From the Back Cover
The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification.
In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments. The second edition is completely updated, covering the full gamut of R packages for this area that have been introduced to the market since its previous publication five years ago. There is also a new chapter on the simulation of evolutionary data.
Graduate students and researchers in evolutionary biology can use this book as a reference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to implement these methods in R. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phylogeny estimation, tree drawing, phylogenetic comparative methods, and estimation of ancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.
About the Author
Emmanuel Paradis is an evolutionary biologist at the Institut de Recherche pour le Développement (IRD) in Montpellier and Jakarta. He received his Doctorate Diploma in population biology and ecology in 1993 at the University of Montpellier II. He has conducted empirical and theoretical research on birds, mammals, and fish. He worked at the British Trust for Ornithology for three years and at the Institut des Sciences de l'Évolution in Montpellier for seven years where he developed most of the ideas presented in this book. He is the main author and maintainer of the R packages APE (Analysis of Phylogenetics and Evolution) and PEGAS (Population and Evolutionary Genetics Analysis System).
Most helpful customer reviews
4 of 4 people found the following review helpful.
A must for anyone doing phylogenies
By jgolubov
This is the second edition of a book I really like. This new edition is much larger (twice) than the first and it answers many of the problems and new approaches that were left out or only partly explained in the first edition. Paradis has done a great job. For anyone working on phylogenetics this is THE BOOK. The book covers a wide range of topics from how to plot a phylogeny, to phylogeny estimation, inference and simulation all under the R framework. The coverage with the R examples is fantastic and clear, making extrapolation to your problem particularly relatively easy. Overall a book that must be applauded.
0 of 0 people found the following review helpful.
A perfect book if you want to start learning R for phylogenetic analyses
By Laviejasirena
A perfect book if you want to start learning R for phylogenetic analyses. Well written, easy to use, and with examples to practice.
0 of 2 people found the following review helpful.
Three Stars
By Jiang Z.
useful
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