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Computational Biology from a Statistical Mechanics Perspective

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2014 Hardback NEAR FINE This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Print on Demand title, produced to ... the highest standard, and there would be a delay in dispatch of around 15 working days. *****PLEASE NOTE: This item is shipping from an authorized seller in Europe. In the event that a return is necessary, you will be able to return your item within the US. To learn more about our European sellers and policies see the BookQuest FAQ section***** Read more Show Less

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Overview

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.

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Product Details

Table of Contents

STATISTICAL MECHANICS
Equilibrium Statistical Mechanics
Z: The Partition Function
Relation to Thermodynamics
Computing Z
Nonequilibrium Statistical Mechanics
Stochastic Processes
The Master Equation
Fluctuation Theorems
The Fokker-Planck and Langevin Equations
Sequence Alignment: A Nonequilibrium Phase Transition
BIOMOLECULES
Molecules, Code and Representation
DNA and RNA: The Building Blocks
Representing RNA Structure
Proteins
DNA
Thermal Stability of DNA: The Melting Transition
The Melting Profiles of Genomic DNA and cDNA
Hybridizing DNA
RNA
Computing RNA Secondary Structure: Combinatorics
The RNA Partition Function
RNA Phase Behavior and Folding Kinetics
Proteins
Proteins: Folding
Proteins: Docking
Electrostatics
Chromatin
Bacterial Chemotaxis: Cooperativity Once More
NETWORKS
Network Dynamics I: Deterministic
Deterministic Dynamics: ?-Repressor Expression
The Turing Insight
The Min System
Network Dynamics II: Fluctuations
Noise in Signaling
Stochastic Cascades
Stochastic Focusing
Fluctuating Gene Network Dynamics
Extrinsic vs. Intrinsic Noise
Networks: Structure
Networks as Graphs
Probability Generating Functions and Network Characteristics
Statistical Mechanics of Networks
Network Growth
INDEX

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