Algebraic and Discrete Mathematical Methods for Modern Biology
Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. - Examines significant questions in modern biology and their mathematical treatments - Presents important mathematical concepts and tools in the context of essential biology - Features material of interest to students in both mathematics and biology - Presents chapters in modular format so coverage need not follow the Table of Contents - Introduces projects appropriate for undergraduate research - Utilizes freely accessible software for visualization, simulation, and analysis in modern biology - Requires no calculus as a prerequisite - Provides a complete Solutions Manual - Features a companion website with supplementary resources
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Algebraic and Discrete Mathematical Methods for Modern Biology
Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. - Examines significant questions in modern biology and their mathematical treatments - Presents important mathematical concepts and tools in the context of essential biology - Features material of interest to students in both mathematics and biology - Presents chapters in modular format so coverage need not follow the Table of Contents - Introduces projects appropriate for undergraduate research - Utilizes freely accessible software for visualization, simulation, and analysis in modern biology - Requires no calculus as a prerequisite - Provides a complete Solutions Manual - Features a companion website with supplementary resources
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Algebraic and Discrete Mathematical Methods for Modern Biology

Algebraic and Discrete Mathematical Methods for Modern Biology

by Raina Robeva PhD (Editor)
Algebraic and Discrete Mathematical Methods for Modern Biology

Algebraic and Discrete Mathematical Methods for Modern Biology

by Raina Robeva PhD (Editor)

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Overview

Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. - Examines significant questions in modern biology and their mathematical treatments - Presents important mathematical concepts and tools in the context of essential biology - Features material of interest to students in both mathematics and biology - Presents chapters in modular format so coverage need not follow the Table of Contents - Introduces projects appropriate for undergraduate research - Utilizes freely accessible software for visualization, simulation, and analysis in modern biology - Requires no calculus as a prerequisite - Provides a complete Solutions Manual - Features a companion website with supplementary resources

Product Details

ISBN-13: 9780128012710
Publisher: Elsevier Science & Technology Books
Publication date: 05/09/2015
Sold by: Barnes & Noble
Format: eBook
Pages: 382
File size: 15 MB
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About the Author

Raina Robeva was born in Sofia, Bulgaria. She holds a PhD in Mathematics from the University of Virginia and has broad research interests spanning theoretical mathematics, applied probability, and systems biology. Robeva is the founding Chief Editor of the journal Frontiers in Systems Biology and the lead author/editor of the books An Invitation to Biomathematics (2008), Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models (2013), and Algebraic and Discrete Mathematical Methods for Modern Biology (2015), all published by Academic Press. She is Professor of Mathematical Sciences and Director of the Center for Science and Technology in Society at Sweet Briar College.

Table of Contents

Preface1. Graph Theory for Systems Biology: Interval Graphs, Motifs, and Pattern RecognitionJohn R. Jungck and Rama Viswanathan2. Food Webs and GraphsMargaret Midge Cozzens3. Adaptation and Fitness GraphsKristina Crona and Emilie Wiesner4. Signaling Networks: Asynchronous Boolean ModelsRéka Albert and Raina Robeva5. Dynamics of Complex Boolean Networks: Canalization, Stability, and CriticalityQijun He, Matthew Macauley and Robin Davies6. Steady State Analysis of Boolean Models: A Dimension Reduction ApproachAlan Veliz-Cuba and David Murrugarra7. BioModel Engineering with Petri NetsMary Ann Blätke, Monika Heiner and Wolfgang Marwan8. Transmission of Infectious Diseases: Data, Models, and SimulationsWinfried Just, Hannah Callender, M. Drew LaMar and Natalia Toporikova9. Disease Transmission Dynamics on Networks: Network Structure Versus Disease DynamicsWinfried Just, Hannah Callender and M. Drew LaMar10. Predicting Correlated Responses in Quantitative Traits Under Selection: A Linear Algebra ApproachJanet Steven and Bessie Kirkwood 11. Metabolic Analysis: Algebraic and Geometric MethodsTerrell L. Hodge, Blair R. Szymczyna and Todd J. Barkman12. Reconstructing the Phylogeny: Computational Methods Grady Weyenberg and Ruriko Yoshida13. RNA Secondary Structures: Combinatorial Models and Folding AlgorithmsQijun He, Matthew Macauley and Robin Davies14. RNA Secondary Structures: An Approach Through Pseudoknots and FatgraphsChristian M. Reidys                                  

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A complementary volume to Raina Robeva’s book Mathematical Concepts and Methods in Modern Biology: Using Modern Discrete Models, enhancing our growing portfolio in the emerging area of mathematical biology

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