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  • Cited by 195
Publisher:
Cambridge University Press
Online publication date:
May 2010
Print publication year:
2005
Online ISBN:
9780511755576

Book description

During development cells and tissues undergo changes in pattern and form that employ a wider range of physical mechanisms than at any other time in an organism's life. This book shows how physics can be used to analyze these biological phenomena. Written to be accessible to both biologists and physicists, major stages and components of the biological development process are introduced and then analyzed from the viewpoint of physics. The presentation of physical models requires no mathematics beyond basic calculus. Physical concepts introduced include diffusion, viscosity and elasticity, adhesion, dynamical systems, electrical potential, percolation, fractals, reaction-diffusion systems, and cellular automata. With full-color figures throughout, this comprehensive textbook teaches biophysics by application to developmental biology and is suitable for graduate and upper-undergraduate courses in physics and biology.

Reviews

'There is no shortage of textbooks devoted to development biology, but it is remarkably rare to find any substantial treatment of physical considerations … Forgacs and Newman have … done the developmental biology community a great service … An interesting feature of this book is the inclusion of a substantial amount of material on models of genetic/biochemical networks and pattern formation …'

Nick Monk - University of Sheffield

'… one way to describe [the book] is to say that it is an extension of D'Arcy Thompson's great work … I should not omit to mention the illustrations, which are artistic. Students with a background in physics, chemistry or mathematics, and an interest in biological problems, will benefit greatly from this book … Forgacs and Newman have assimilated much from a vast and diverse literature. They manage to convey a great deal of information, interesting in itself … my guess is that most developmental biologists will be familiar with only a tiny part of it.'

Source: Current Science

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