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Stochastic modelling for systems biology-CRC
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This series aims to capture new developments and summarize what is known over the entire spectrum of mathematical and computational biology and medicine. It seeks to encourage the integration of mathematical, statistical, and computational methods into biology by publishing a broad range of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students, researchers, and professionals in the mathematical, statistical and computational sciences, fundamental biology and bioengineering, as well as interdisciplinary researchers involved in the feld. The inclusion of concrete examples and applications, and programming techniques and examples, is highly encouraged.
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Stochastic Modelling
for Systems Biology
SECOND EDITION
K11715_FM.indd 1 10/3/11 10:33 AM
CHAPMAN & HALL/CRC
Mathematical and Computational Biology Series
Aims and scope:
This series aims to capture new developments and summarize what is known
over the entire spectrum of mathematical and computational biology and
medicine. It seeks to encourage the integration of mathematical, statistical,
and computational methods into biology by publishing a broad range of
textbooks, reference works, and handbooks. The titles included in the
series are meant to appeal to students, researchers, and professionals in the
mathematical, statistical and computational sciences, fundamental biology
and bioengineering, as well as interdisciplinary researchers involved in the
eld. The inclusion of concrete examples and applications, and programming
techniques and examples, is highly encouraged.
Series Editors
N. F. Britton
Department of Mathematical Sciences
University of Bath
Xihong Lin
Department of Biostatistics
Harvard University
Hershel M. Safer
School of Computer Science
Tel Aviv University
Maria Victoria Schneider
European Bioinformatics Institute
Mona Singh
Department of Computer Science
Princeton University
Anna Tramontano
Department of Biochemical Sciences
University of Rome La Sapienza
Proposals for the series should be submitted to one of the series editors above or directly to:
CRC Press, Taylor & Francis Group
4th, Floor, Albert House
1-4 Singer Street
London EC2A 4BQ
UK
K11715_FM.indd 2 10/3/11 10:33 AM
Published Titles
Algorithms in Bioinformatics: A Practical
Introduction
Wing-Kin Sung
Bioinformatics: A Practical Approach
Shui Qing Ye
Biological Computation
Ehud Lamm and Ron Unger
Biological Sequence Analysis Using
the SeqAn C++ Library
Andreas Gogol-Döring and Knut Reinert
Cancer Modelling and Simulation
Luigi Preziosi
Cancer Systems Biology
Edwin Wang
Cell Mechanics: From Single Scale-
Based Models to Multiscale Modeling
Arnaud Chauvière, Luigi Preziosi,
and Claude Verdier
Clustering in Bioinformatics and Drug
Discovery
John D. MacCuish and Norah E. MacCuish
Combinatorial Pattern Matching
Algorithms in Computational Biology
Using Perl and R
Gabriel Valiente
Computational Biology: A Statistical
Mechanics Perspective
Ralf Blossey
Computational Hydrodynamics of
Capsules and Biological Cells
C. Pozrikidis
Computational Neuroscience:
A Comprehensive Approach
Jianfeng Feng
Data Analysis Tools for DNA Microarrays
Sorin Draghici
Differential Equations and Mathematical
Biology, Second Edition
D.S. Jones, M.J. Plank, and B.D. Sleeman
Dynamics of Biological Systems
Michael Small
Engineering Genetic Circuits
Chris J. Myers
Exactly Solvable Models of Biological
Invasion
Sergei V. Petrovskii and Bai-Lian Li
Gene Expression Studies Using
Affymetrix Microarrays
Hinrich Göhlmann and Willem Talloen
Glycome Informatics: Methods and
Applications
Kiyoko F. Aoki-Kinoshita
Handbook of Hidden Markov Models
in Bioinformatics
Martin Gollery
Introduction to Bioinformatics
Anna Tramontano
Introduction to Bio-Ontologies
Peter N. Robinson and Sebastian Bauer
Introduction to Computational
Proteomics
Golan Yona
Introduction to Proteins: Structure,
Function, and Motion
Amit Kessel and Nir Ben-Tal
An Introduction to Systems Biology:
Design Principles of Biological Circuits
Uri Alon
Kinetic Modelling in Systems Biology
Oleg Demin and Igor Goryanin
Knowledge Discovery in Proteomics
Igor Jurisica and Dennis Wigle
Meta-analysis and Combining
Information in Genetics and Genomics
Rudy Guerra and Darlene R. Goldstein
Methods in Medical Informatics:
Fundamentals of Healthcare
Programming in Perl, Python, and Ruby
Jules J. Berman
Modeling and Simulation of Capsules
and Biological Cells
C. Pozrikidis
Niche Modeling: Predictions from
Statistical Distributions
David Stockwell
K11715_FM.indd 3 10/3/11 10:33 AM
Normal Mode Analysis: Theory and
Applications to Biological and Chemical
Systems
Qiang Cui and Ivet Bahar
Optimal Control Applied to Biological
Models
Suzanne Lenhart and John T. Workman
Pattern Discovery in Bioinformatics:
Theory & Algorithms
Laxmi Parida
Python for Bioinformatics
Sebastian Bassi
Spatial Ecology
Stephen Cantrell, Chris Cosner, and
Shigui Ruan
Spatiotemporal Patterns in Ecology
and Epidemiology: Theory, Models,
and Simulation
Horst Malchow, Sergei V. Petrovskii, and
Ezio Venturino
Statistics and Data Analysis for
Microarrays Using R and Bioconductor,
Second Edition
Sorin Dr
˘
aghici
Stochastic Modelling for Systems
Biology, Second Edition
Darren J. Wilkinson
Structural Bioinformatics: An Algorithmic
Approach
Forbes J. Burkowski
The Ten Most Wanted Solutions in
Protein Bioinformatics
Anna Tramontano
Published Titles (continued)
K11715_FM.indd 4 10/3/11 10:33 AM
Stochastic Modelling
for Systems Biology
Darren J. Wilkinson
SECOND EDITION
K11715_FM.indd 5 10/3/11 10:33 AM
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