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
Nicola Mulder
University of Cape Town
South Africa
Maria Victoria Schneider
European Bioinformatics Institute
Mona Singh
Department of Computer Science
Princeton University
Anna Tramontano
Department of Physics
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
3 Park Square, Milton Park
Abingdon, Oxfordshire OX14 4RN
UK
Published Titles
An Introduction to Systems Biology:
Design Principles of Biological Circuits
Uri Alon
Glycome Informatics: Methods and
Applications
Kiyoko F. Aoki-Kinoshita
Computational Systems Biology of
Cancer
Emmanuel Barillot, Laurence Calzone,
Philippe Hupé, Jean-Philippe Vert, and
Andrei Zinovyev
Python for Bioinformatics
Sebastian Bassi
Quantitative Biology: From Molecular to
Cellular Systems
Sebastian Bassi
Methods in Medical Informatics:
Fundamentals of Healthcare
Programming in Perl, Python, and Ruby
Jules J. Berman
Computational Biology: A Statistical
Mechanics Perspective
Ralf Blossey
Game-Theoretical Models in Biology
Mark Broom and Jan Rychtáˇr
Computational and Visualization
Techniques for Structural Bioinformatics
Using Chimera
Forbes J. Burkowski
Structural Bioinformatics: An Algorithmic
Approach
Forbes J. Burkowski
Spatial Ecology
Stephen Cantrell, Chris Cosner, and
Shigui Ruan
Cell Mechanics: From Single Scale-
Based Models to Multiscale Modeling
Arnaud Chauvière, Luigi Preziosi,
and Claude Verdier
Bayesian Phylogenetics: Methods,
Algorithms, and Applications
Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis
Statistical Methods for QTL Mapping
Zehua Chen
Normal Mode Analysis: Theory and
Applications to Biological and Chemical
Systems
Qiang Cui and Ivet Bahar
Kinetic Modelling in Systems Biology
Oleg Demin and Igor Goryanin
Data Analysis Tools for DNA Microarrays
Sorin Draghici
Statistics and Data Analysis for
Microarrays Using R and Bioconductor,
Second Edition
Sorin Dr
˘
aghici
Computational Neuroscience:
A Comprehensive Approach
Jianfeng Feng
Biological Sequence Analysis Using
the SeqAn C++ Library
Andreas Gogol-Döring and Knut Reinert
Gene Expression Studies Using
Affymetrix Microarrays
Hinrich Göhlmann and Willem Talloen
Handbook of Hidden Markov Models
in Bioinformatics
Martin Gollery
Meta-analysis and Combining
Information in Genetics and Genomics
Rudy Guerra and Darlene R. Goldstein
Differential Equations and Mathematical
Biology, Second Edition
D.S. Jones, M.J. Plank, and B.D. Sleeman
Knowledge Discovery in Proteomics
Igor Jurisica and Dennis Wigle
Introduction to Proteins: Structure,
Function, and Motion
Amit Kessel and Nir Ben-Tal
RNA-seq Data Analysis: A Practical
Approach
Eija Korpelainen, Jarno Tuimala,
Panu Somervuo, Mikael Huss, and Garry Wong
Biological Computation
Ehud Lamm and Ron Unger
Optimal Control Applied to Biological
Models
Suzanne Lenhart and John T. Workman
