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. Thistext 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.

First graduate textbook in interdisciplinary applied mathematics that focuses on applications of stochastic processes to cell biology Introduces concepts in stochastic process via motiviating biological applications Solutions to exercises provided as supplementary material Large number of examples and exercises, highly illustrated Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material

Autorentext

Paul Bressloff is a Professor of Mathematics in the Department of Mathematics at the University of Utah, where he is a faculty member of the Mathematical Biology Group and the Brain Institute. He is also a Visiting Professor at the Mathematical Institute, University of Oxford and INRIA, Sophia-Antipolis. Professor Bressloff's research interests lie in the areas of mathematical neuroscience and theoretical biophysics.

Inhalt

Introduction.- Diffusion in Cells: Random walks and Brownian Motion.- Stochastic Ion Channels.- Polymers and Molecular Motors.- Sensing the Environment: Adaptation and Amplification in Cells.- Stochastic Gene Expression and Regulatory Networks.- Transport Processes in Cells.- Self-Organization in Cells I: Active Processes.- Self-Organization in Cells II: Reaction-Diffusion Models.- The WKB Method and Large Deviation Theory.- Probability Theory and Martingales.