Written for researchers and postgraduate students with a background in physics or applied mathematics and a desire to apply their skills to problems in the life sciences, this beautifully illustrated and stimulating book develops an understanding of the gene-to-trait problem in the context of evolutionary dynamics, from the modern perspective of integrative biology. The gene-to-trait problem resides at the heart of a great many questions in biology. The author presents both elementary and advanced material in a way that brings out how this gene-to-trait problem is treated in the contexts of bioinformatics and evolutionary dynamics. Key ideas and techniques that underlie some of the most-used bioinformatics methods are discussed in an integrative context and a wide range of examples of mathematical models of living things is developed in an evolutionary framework.
表中的内容
Preface
Acknowledgements
1 Introduction
2 Cell biology and molecular genetics
3 Phylogeny and development
4 Elementary evolutionary dynamics
5 Probability and measurement
6 Statistical inference and estimation
7 Sequence, structure and function
8 Analysis of quantitative trait loci
9 Evolutionary dynamics of QTL
10 Adaptive dynamics and speciation
11 Traits as objects of selection
12 Fitness and optimality
Appendices
A Species, speciation and systematics
B Dangerous ideas
C Dynamics
D Constrained optimization
E Thermal physics
关于作者
Hugo van den Berg lectures at the University of Warwick’s Mathematics Institute where he teaches mathematical biology at both the undergraduate and postgraduate levels. His research interests include physiological regulation in energy metabolism and uterine development, as well as the application of mathematical and statistical methodologies to probe the functional organisation of the cellular adaptive immune system.
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