Trends in Biophysics: From Cell Dynamics Toward Multicellular Growth Phenomena (Hardback)
  • Trends in Biophysics: From Cell Dynamics Toward Multicellular Growth Phenomena (Hardback)
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Trends in Biophysics: From Cell Dynamics Toward Multicellular Growth Phenomena (Hardback)

(editor)
£115.00
Hardback 294 Pages / Published: 17/04/2013
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This title includes a number of Open Access chapters.

This book covers a wide scope of biological approaches to such biological phenomena as cell division, motility, collective cell behavior, multicellular structures, morphogenesis, and tumor development. Over the past two decades, biologists have generated large sets of experimental data and discovered a lot of facts that need explanation. This biological boom attracts physicists who believe they can help to develop a theoretical framework in biology and explain complete biological phenomena using basic principles.

This is the first book to present recent advances in biophysical studies of the different aspects of cell life. This book presents recent advances in biophysical studies of living cells and gives the impression that a combination of quantitative live cell observations, detailed biochemical and biophysical data, and mathematical modeling are capable to answer many important biological questions and to achieve a more complete understanding of such complex phenomena.

Publisher: Apple Academic Press Inc.
ISBN: 9781926895369
Number of pages: 294
Weight: 612 g
Dimensions: 235 x 156 x 25 mm


MEDIA REVIEWS

This is a unique book that brings together the most prominent papers that use biophysical and computational approaches to answer fundamental questions in cell biology. Each paper is a milestone in the development of a novel biophysical technique or computational strategy that allows understanding molecular and cellular mechanisms of major cellular activities such locomotion, division, segregation of genetic material, and cell cycle progression. This is a must have book for every cell biologist who wants to use biophysical and computational approaches in research."
-Vladimir Rodionov, PhD, Professor, University of Connecticut Health Center, Center for Cell Analysis and Modeling and Department of Cell Biology, Farmington, Connecticut, USA

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