This book develops the theory of continuous and discrete stochastic
processes within the context of cell biology. A wide range of biological
topics are covered including normal and anomalous diffusion in complex
cellular environments, stochastic ion channels and excitable systems,
stochastic calcium signaling, molecular motors, intracellular transport,
signal transduction, bacterial chemotaxis, robustness in gene networks,
genetic switches and oscillators, cell polarization, polymerization,
cellular length control, and branching processes. The book also provides
a pedagogical introduction to the theory of stochastic process - Fokker
Planck equations, stochastic differential equations, master equations
and jump Markov processes, diffusion approximations and the system size
expansion, first passage time problems, stochastic hybrid systems,
reaction-diffusion equations, exclusion processes, WKB methods,
martingales and branching processes, stochastic calculus, and numerical
methods. This text is primarily aimed at graduate students and
researchers working in mathematical biology and applied mathematicians
interested in stochastic modeling. Applied probabilists and theoretical
physicists should also find it of interest. It assumes no prior
background in statistical physics and introduces concepts in stochastic
processes via motivating biological applications. The book is highly
illustrated and contains a large number of examples and exercises that
further develop the models and ideas in the body of the text. It is
based on a course that the author has taught at the University of Utah
for many years.