Phylogenetics
著者
書誌事項
Phylogenetics
(Oxford lecture series in mathematics and its applications, 24)
Oxford University Press, 2003
大学図書館所蔵 全23件
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  福岡
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注記
Includes bibliographical references (p. [218]-229) and index
内容説明・目次
内容説明
'Phylogenetics' is the reconstruction and analysis of phylogenetic (evolutionary) trees and networks based on inherited characteristics. It is a flourishing area of intereaction between mathematics, statistics, computer science and biology.
The main role of phylogenetic techniques lies in evolutionary biology, where it is used to infer historical relationships between species. However, the methods are also relevant to a diverse range of fields including epidemiology, ecology, medicine, as well as linguistics and cognitive psychology
This graduate-level book, based on the authors lectures at The University of Canterbury, New Zealand, focuses on the mathematical aspects of phylogenetics. It brings together the central results of the field (providing proofs of the main theorem), outlines their biological significance,and indicates how algorithms may be derived. The presentation is self-contained and relies on discrete mathematics with some probability theory. A set of exercises and at least one specialist topic ends each
chapter.
This book is intended for biologists interested in the mathematical theory behind phylogenetic methods, and for mathematicians, statisticians, and computer scientists eager to learn about this emerging area of discrete mathematics.
'Phylogenetics' in the 24th volume in the Oxford Lecture Series in Mathematics and its Applications. This series contains short books suitable for graduate students and researchers who want a well-written account of mathematics that is fundamental to current to research. The series emphasises future directions of research and focuses on genuine applications of mathematics to finance, engineering and the physical and biological sciences.
目次
- Preliminaries
- 1. Graphs and their role in biology
- 2. X-trees and phylogenetic trees
- 3. Trees and splits
- 4. Compatibility of characters
- 5. Maximum Parsimony
- 6. Subtrees and supertrees
- 7. Tree-based metrics
- 8. Markov models on trees
- References
- Commonly-used symbols
- Index
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