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Guide to Simulation and Modeling for Biosciences David J. Barnes

Guide to Simulation and Modeling for Biosciences By David J. Barnes

Guide to Simulation and Modeling for Biosciences by David J. Barnes


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Summary

This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn;

Guide to Simulation and Modeling for Biosciences Summary

Guide to Simulation and Modeling for Biosciences by David J. Barnes

This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. The practical constraints presented by each modeling technique are described in detail, enabling the researcher to determine which software package would be most useful for a particular problem. Features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; discusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm; provides exercises; describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn; contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; offers supplementary material at an associated website.

About David J. Barnes

David J. Barnes is a senior lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming and the implementation of computational models of biological systems.

Dominique Chu is a senior lecturer in computer science at the University of Kent, UK. He is an expert in mathematical and computational modeling of biological systems, with years of experience in these fields.

Table of Contents

Foundations of Modeling

Agent-based Modeling

ABMs using Repast Simphony

Differential Equations

Mathematical Tools

Other Stochastic Methods and Prism

Simulating Biochemical Systems

Biochemical Models Beyond the Perfect Mixing Assumption

Reference Material

Additional information

NLS9781447168980
9781447168980
1447168984
Guide to Simulation and Modeling for Biosciences by David J. Barnes
New
Paperback
Springer London Ltd
2016-10-22
339
N/A
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