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Course Materials for MATH35032, Mathematical Biology
Coursework now available
The coursework, which is due by 3:00 PM on Monday, 16 April, is now
available. The version current
version is from Monday, 19 March, and includes two small corrections: one to
Eqn. (6)and another two appearances of the Arrhenius equation.
Lecture Notes and Articles
The first 5-6 weeks of the term will be devoted to what one might describe
as mathematical biology in the classical style and the lectures will
follow sections of Jim Murray's famous text, Mathematical Biology I: An Introduction. This book is available
online, though only from within
the University's network (e.g. in the
campus clusters or in the halls), but
if you want to access it from off campus, you can install software that will
allow you to use all the Library's services via the
University's excellent Virtual Private Network (VPN).
Notes such as the ones below will be available for the whole term. Additionally, there will be links to some articles we'll
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Opportunities for feedback
The main channel for formal, written feedback in this module is the coursework. It will be a problem set similar
to the ones provided below, but devoted to a novel application that uses the ideas from the course. You'll prepare written solutions
and I'll mark them over the Easter Break, providing both written comments and a mark. In addition, the weekly examples classes
provide further opportunities for verbal feedback and—for students who bring written solutions to the
exercises—on-the-spot marking and written feedback as well.
Problem Sets & Solutions
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Coursework & Exams
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Intended Learning Outcomes
Once you've successfully completed this module you should be able to:
Interpret differential equation models for populations,
relating the expressions appearing in the model to processes
that affect the population.
Formulate and analyse ordinary differential equation (ODE)
models for the population of a single species, finding
equilibrium populations and determining how their stability
depends on parameters.
Analyse delay-differential equation (DDE) models for the
population of a single species and use linear stability
analysis to determine which values of the parameters induce
Analyse ODE models for the populations of two interacting
species, finding equilibria and using information about their
linear stability to characterise the long-term behaviour of
Define a conserved quantity for a system of ODEs
and, where possible, use such quantities to determine the
long-term behaviour of both two-species ODE models and
single-species models population models include diffusion.
Construct the ODEs associated with a system of chemical
reactions subject to mass-action kinetics and analyse them to
discover conserved quantities.
Construct the Markov process associated with a system of
chemical reactions and, for small numbers of reactions,
analyse it to determine the long-term behaviour of the system.
Analyse two key models, Wolpert's Frech flag model
and Turing's reaction-diffusion model, relating the
solutions of the associated PDEs to the processes of
pattern-formation in developing organisms.
Explain the notion of a motif in a genetic
regulatory network and, for small examples, compute the
probability of seeing k instances of a given motif
in a randomly-assembled network.
A hyperlinked version of the lists below is available from Manchester University
Library's Link2Lists system.
I studied the following—more or less mathematically-minded—books while preparing this course.
James D. Murray,
Mathematical Biology I: An Introduction 3rd edition, (Springer, 2002). ISBN 0-387-95223-3
James D. Murray,
Mathematical Biology II: Spatial Models and Biomedical Applications 3rd edition, (Springer, 2002). ISBN 0-387-95228-4
Lee A. Segel,
Modeling dynamic phenomena in molecular and cellular biology (Cambridge University Press, 1984). ISBN 0-521-27477-X
Edda Klipp, Wolfram Liebermeister, Christoph Wierling, Axel Kowald, Hans Lehrach, Ralf Herwig (2009),
Systems Biology: A Textbook, Wiley-Blackwell. ISBN 978-3-527-31874-2
An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC, 2007). ISBN 1-58488-642-0
Darren J. Wilkinson,
Stochastic Modelling for Systems Biology (Chapman & Hall/CRC, 2006). ISBN 1-58488-540-8
I also looked at the books below for biological background.
Bernhard Ø. Palsson,
Systems Biology: Properties of Reconstructed Networks (Cambridge University Press, 2006). ISBN 0-521-85903-4
Eric H. Davidson,
The Regulatory Genome (Academic Press, 2006). ISBN 0-12-088563-8
Terry A. Brown,
Genomes 3 (Garland Science, 2007). ISBN 0-8153-4138-5
The previous edition, Genomes 2, is available online from the National Center for Biotechnology Information (NCBI)
Bookshelf, a service of the U.S.A's National Institutes of Health (NIH).
Bruce Alberts, Alexander Johnson, Julian Lewis, Martin Raff, Keith Roberts and Peter Walter,
Molecular Biology of the Cell 4th edition, (Garland Science, 2002). ISBN 0-8153-4072-9
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