Authors:
- 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
- Includes large number of examples and exercises, highly illustrated
Part of the book series: Interdisciplinary Applied Mathematics (IAM, volume 41)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
A wide range of biological topics are covered in the new edition, including stochastic ion channels and excitable systems, molecular motors, stochastic gene networks, genetic switches and oscillators, epigenetics, normal and anomalous diffusion in complex cellular environments, stochastically-gated diffusion, active intracellular transport, signal transduction, cell sensing, bacterial chemotaxis, intracellular pattern formation, cell polarization, cell mechanics, biological polymers and membranes, nuclear structure and dynamics, biological condensates, molecular aggregation and nucleation, cellular length control, cell mitosis, cell motility, cell adhesion, cytoneme-based morphogenesis, bacterial growth, and quorum sensing. The book also provides a pedagogical introduction to the theory of stochastic and nonequilibrium processes – Fokker Planck equations, stochastic differential equations, stochastic calculus, master equations and jump Markov processes, birth-death processes, Poisson processes, first passage time problems, stochastic hybrid systems, queuing and renewal theory, narrow capture and escape, extreme statistics, search processes and stochastic resetting, exclusion processes, WKB methods, large deviation theory, path integrals, martingales and branching processes, numerical methods, linear response theory, phase separation, fluctuation-dissipation theorems, age-structured models, and statistical field theory. This text is primarily aimed at graduate students and researchers working in mathematical biology, statistical and biological physicists, and applied mathematicians interested in stochastic modeling. Applied probabilists should also find it of interest. It provides significant background material in applied mathematics and statistical physics, and introduces concepts in stochastic and nonequilibrium 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.
Keywords
- Stochastic processes
- nonequilibrium statistical physics
- molecular and cell biology
- reaction-diffusion processes
- biological self-organization and pattern formation
- cellular transport processes
- noise-induced escape and reaction rate theory
- stochastic hybrid systems
- biopolymers and molecular motors
- stochastic gene networks
Authors and Affiliations
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Department of Mathematics, University of Utah, Salt Lake City, USA
Paul C. Bressloff
About the author
Bibliographic Information
Book Title: Stochastic Processes in Cell Biology
Book Subtitle: Volume II
Authors: Paul C. Bressloff
Series Title: Interdisciplinary Applied Mathematics
DOI: https://doi.org/10.1007/978-3-030-72519-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-72518-1Published: 11 January 2022
Softcover ISBN: 978-3-030-72521-1Published: 12 January 2023
eBook ISBN: 978-3-030-72519-8Published: 10 January 2022
Series ISSN: 0939-6047
Series E-ISSN: 2196-9973
Edition Number: 2
Number of Pages: XXXII, 698
Number of Illustrations: 144 b/w illustrations, 180 illustrations in colour
Topics: Mathematical and Computational Biology, Probability Theory and Stochastic Processes, Cell Biology