Computational Biology: A Statistical Mechanics Perspective

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Ralf Blossey (Interdisciplinary Research Institute, University of Lille, Villeneuve d'Ascq, France) Suzanne Lenhart (University of Tennessee, Knoxville, Tennessee, USA)

Computational Biology

A Statistical Mechanics Perspective

Ralf Blossey (Interdisciplinary Research Institute, University of Lille, Villeneuve d'Ascq, France), Suzanne Lenhart (University of Tennessee, Knoxville, Tennessee, USA), Philip K. Maini , Alison M. Etheridge

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English

Chapman & Hall/CRC
23 October 2019

Computer architecture & logic design

Series: Chapman & Hall/CRC Computational Biology Series

Quantitative methods have a particular knack for improving any field they touch. For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in biomolecules, as well as their static and dynamic properties.

Breaking New Ground Computational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and bioinformatics. Introducing both equilibrium and nonequilibrium statistical mechanics in a manner tailored to computational biologists, the author applies these methods to understand and model the properties of various biomolecules and biological networks at the systems level.

Unique Vision, Novel Approach Blossey combines his enthusiasm for uniting the fields of physics and computational biology with his considerable experience, knowledge, and gift for teaching. He uses numerous examples and tasks to illustrate and test understanding of the concepts, and he supplies a detailed keyword list for easy navigation and comprehension. His approach takes full advantage of the latest tools in statistical physics and computer science to build a strong set of tools for confronting new challenges in computational biology.

Making the concepts crystal clear without sacrificing mathematical rigor, Computational Biology: A Statistical Mechanics Perspective is the perfect tool to broaden your skills in computational biology.

By: Ralf Blossey (Interdisciplinary Research Institute University of Lille Villeneuve d'Ascq France)
Series edited by: Suzanne Lenhart (University of Tennessee Knoxville Tennessee USA), Philip K. Maini, Alison M. Etheridge, Eberhard O. Voit (Georgia Tech & Emory University, Atlanta, Georgia, USA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 544g
ISBN: 9780367390822
ISBN 10: 0367390825
Series: Chapman & Hall/CRC Computational Biology Series
Pages: 276
Publication Date: 23 October 2019
Audience: Professional and scholarly , Undergraduate
Replaced By: 9780367779740
Format: Paperback
Publisher's Status: Active

STATISTICAL MECHANICS. Equilibrium Statistical Mechanics. Nonequilibrium Statistical Mechanics. BIOMOLECULES. Molecules, Code and Representation. DNA. RNA. Proteins. NETWORKS. Network Dynamics I: Deterministic. Network Dynamics II: Fluctuations. Networks: Structure. INDEX.

Blossey, Ralf; Blossey, Ralf