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Biosimulation : simulation of living systems / Daniel A. Beard.

By: Beard, Daniel A, 1971-.
Material type: materialTypeLabelBookSeries: Cambridge texts in biomedical engineering.Copyright date: Cambridge ; New York : Cambridge University Press, 2012Edition: First Edition.Description: xii, 307 pages : illustrations ; 26 cm.ISBN: 9780521768238.Subject(s): Biophysics -- Computer simulation | Biofísica -- Simulación por computador | Biophysics -- Simulation methods | Biofísica -- Métodos de simulación | Biomedical engineering. -- Computer simulation | Ingeniería biomédica -- Simulación por computador | Medical sciences -- Case studiesDDC classification: 571.40113
Contents:
Machine generated contents note: Introduction to simulation of biological systems -- Transport and reaction of solutes in biological systems -- Physiologically-based pharmacokinetic modeling -- Cardiovascular systems simulation -- Chemical reaction systems: thermodynamics -- Chemical reaction systems: kinetics -- Chemical reaction systems: large-scale systems simulation -- Cellular electrophysiology -- Appendices: mathematical and computational techniques.
Summary: "This practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online (www.cambridge.org/biosim) students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyone who needs to develop computational models of biological systems"--
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Item type Current location Call number Copy number Status Date due Item holds
Libro académico Libro académico Biblioteca del Campus
571.40113 B3682b 2012 (Browse shelf) Ej. 1 Available
Libro académico Libro académico Biblioteca del Campus
571.40113 B3682b 2012 (Browse shelf) Ej. 2 Available
Libro académico Libro académico Biblioteca del Campus
571.40113 B3682b 2012 (Browse shelf) Ej. 3 Available
Total holds: 0

Includes bibliographical references (p. [299]-303) and index.

Machine generated contents note: Introduction to simulation of biological systems -- Transport and reaction of solutes in biological systems -- Physiologically-based pharmacokinetic modeling -- Cardiovascular systems simulation -- Chemical reaction systems: thermodynamics -- Chemical reaction systems: kinetics -- Chemical reaction systems: large-scale systems simulation -- Cellular electrophysiology -- Appendices: mathematical and computational techniques.

"This practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online (www.cambridge.org/biosim) students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyone who needs to develop computational models of biological systems"--

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