Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology write by Ivo Fabian Sbalzarini. This book was released on 2006. Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology available in PDF, EPUB and Kindle.
Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology
Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology write by Ivo Fabian Sbalzarini (Informatiker). This book was released on 2006. Analysis, Modeling, and Simulation of Diffusion Processes in Cell Biology available in PDF, EPUB and Kindle.
Stochastic Processes in Cell Biology
Stochastic Processes in Cell Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Processes in Cell Biology write by Paul C. Bressloff. This book was released on 2022-01-04. Stochastic Processes in Cell Biology available in PDF, EPUB and Kindle. This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. 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.
Modelling and Simulation of Diffusive Processes
Modelling and Simulation of Diffusive Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modelling and Simulation of Diffusive Processes write by S.K. Basu. This book was released on 2014-04-15. Modelling and Simulation of Diffusive Processes available in PDF, EPUB and Kindle. This book addresses the key issues in the modeling and simulation of diffusive processes from a wide spectrum of different applications across a broad range of disciplines. Features: discusses diffusion and molecular transport in living cells and suspended sediment in open channels; examines the modeling of peristaltic transport of nanofluids, and isotachophoretic separation of ionic samples in microfluidics; reviews thermal characterization of non-homogeneous media and scale-dependent porous dispersion resulting from velocity fluctuations; describes the modeling of nitrogen fate and transport at the sediment-water interface and groundwater flow in unconfined aquifers; investigates two-dimensional solute transport from a varying pulse type point source and futile cycles in metabolic flux modeling; studies contaminant concentration prediction along unsteady groundwater flow and modeling synovial fluid flow in human joints; explores the modeling of soil organic carbon and crop growth simulation.
Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology write by David Holcman. This book was released on 2017-10-04. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology available in PDF, EPUB and Kindle. This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology. This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, one needs to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.
