Analysis of Phylogenetics and Evolution with R

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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.

This book integrates 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.

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.

Author(s): Emmanuel Paradis
Series: Use R
Edition: 1
Publisher: Springer
Year: 2006

Language: English
Pages: 221

Preface......Page 7
Contents......Page 9
1.1 Strategic Considerations......Page 13
1.2 Notations......Page 16
1.3 Preparing the Computer......Page 17
2.1 The Command Line Interface......Page 21
2.2 The Data Structures......Page 23
2.3 The Help System......Page 30
2.4 Creating Graphics......Page 31
2.6 Using R Functions......Page 32
2.7 Repeating Commands......Page 33
2.8 Exercises......Page 35
3.1 Phylogenetic Data as R Objects......Page 37
3.2 Reading Phylogenetic Data......Page 40
3.3 Writing Data......Page 45
3.4 Manipulating Data......Page 47
3.5 Generating Random Trees......Page 56
3.6 Case Studies......Page 58
3.7 Exercises......Page 76
4.1 Simple Tree Drawing......Page 77
4.2 Combining Plots......Page 95
4.3 Large Phylogenies......Page 101
4.4 Perspectives......Page 104
4.5 Exercises......Page 106
5 Phylogeny Estimation......Page 107
5.1 Distance Methods......Page 108
5.2 Maximum Likelihood Methods......Page 112
5.3 Bootstrap Methods and Distances Between Trees......Page 124
5.4 Molecular Dating......Page 131
5.5 Case Studies......Page 133
5.7 Exercises......Page 143
6.1 Phylogenetic Comparative Methods......Page 145
6.2 Estimating Ancestral Characters......Page 166
6.3 Analysis of Diversi.cation......Page 172
6.4 Perspectives......Page 184
6.5 Case Studies......Page 185
6.6 Exercises......Page 192
7.1 Features of R......Page 194
7.2 Writing Functions in R......Page 198
7.3 Interfacing R with Other Languages......Page 200
7.4 Writing R Packages......Page 203
7.5 Performance Issues and Strategies......Page 204
References......Page 209
Index......Page 219