A01=Ralf Blossey
American Physical Society
Author_Ralf Blossey
Base Pair
biological networks
Category=PSA
Category=UYF
complex interaction networks
Cooperativity Parameter
Degree Distribution
DNA Microarrays
DNA Molecule
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Extrinsic Noise
Ginzburg Landau Theory
Histone Tail Modifications
Ising Model
Master Equation
National Academy
National Human Genome Research Institute
Nonequilibrium Statistical Mechanics
Part Iii
Partition Function
Poisson Boltzmann Equation
Predict RNA Structure
Random Graph
RNA Secondary Structure
RNA Structure
Spectral Abscissae
Statistical Mechanics Perspective
Stop Codon
Van Oudenaarden
Product details
- ISBN 9780367390822
- Weight: 544g
- Dimensions: 156 x 234mm
- Publication Date: 23 Oct 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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.
Blossey, Ralf; Blossey, Ralf
