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Home > Mathematics and Science Textbooks > Physics > Applied physics > Biophysics > Evolutionary Dynamics: The mathematics of genes and traits(IOP Expanding Physics)
Evolutionary Dynamics: The mathematics of genes and traits(IOP Expanding Physics)

Evolutionary Dynamics: The mathematics of genes and traits(IOP Expanding Physics)


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About the Book

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. This gene-to-trait problem lies at the heart of a great many questions in biology, evolutionary or otherwise. The author presents both elementary and advanced material in a way that brings out how the gene-to-trait problem is related to both bioinformatics and mathematical models of biological systems. Key ideas and techniques that underlie some of the most widely-used bioinformatics methods are discussed in this integrative context. A range of examples of biomathematical models is developed in an evolutionary framework. The book covers the standard theories of evolutionary genetics and adaptive dynamics. Bioinformatics techniques are discussed from the perspective of sequence analysis (alignment, hidden-Markov models, tree inference, and sequence-to-function mapping) and quantitative trait analysis. The two strands of evolutionary dynamics and bioinformatics are then brought together in a chapter on the evolutionary dynamics of quantitative traits, which leads to a number of insights that become the basis for a general definition of fitness, discussed in the context of the question whether it is valid to argue from optimality criteria in an evolutionary context. 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, the book includes a number of introductory chapters on genetics and cell biology, phylogeny and development, mathematical probability, and inferential statistics. In addition, appendices summarise background material on speciation and systematics, controversies surrounding evolutionary thinking, dynamical systems, optimality arguments, as well as statistical and thermal physics.

Table of Contents:
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

About the Author :
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.

Review :
The book is written in an accessible style. and although it requires an understanding of calculus and statistical concepts, it is appropriate as an interdisciplinary bridge between mathematics, physics and biology. Irina Ioana Mohorianu 2016 Zentralblatt MATH 1337 - 1, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure.


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Product Details
  • ISBN-13: 9780750310956
  • Publisher: Institute of Physics Publishing
  • Publisher Imprint: Institute of Physics Publishing
  • Height: 254 mm
  • No of Pages: 538
  • Series Title: IOP Expanding Physics
  • Width: 178 mm
  • ISBN-10: 0750310952
  • Publisher Date: 28 Jul 2015
  • Binding: Hardback
  • Language: English
  • No of Pages: 538
  • Sub Title: The mathematics of genes and traits


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