Algebraic and Discrete Mathematical Methods for Modern Biology
Editat de Raina Robevaen Limba Engleză Hardback – 25 mar 2015
- 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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Specificații
ISBN-13: 9780128012130
ISBN-10: 0128012137
Pagini: 382
Dimensiuni: 216 x 276 x 20 mm
Greutate: 1.27 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128012137
Pagini: 382
Dimensiuni: 216 x 276 x 20 mm
Greutate: 1.27 kg
Editura: ELSEVIER SCIENCE
Public țintă
Students and researchers in biomathematics, mathematics, and biologyCuprins
Preface
1. Graph Theory for Systems Biology: Interval Graphs, Motifs, and Pattern Recognition
John R. Jungck and Rama Viswanathan
2. Food Webs and Graphs
Margaret Midge Cozzens
3. Adaptation and Fitness Graphs
Kristina Crona and Emilie Wiesner
4. Signaling Networks: Asynchronous Boolean Models
Réka Albert and Raina Robeva
5. Dynamics of Complex Boolean Networks: Canalization, Stability, and Criticality
Qijun He, Matthew Macauley and Robin Davies
6. Steady State Analysis of Boolean Models: A Dimension Reduction Approach
Alan Veliz-Cuba and David Murrugarra
7. BioModel Engineering with Petri Nets
Mary Ann Blätke, Monika Heiner and Wolfgang Marwan
8. Transmission of Infectious Diseases: Data, Models, and Simulations
Winfried Just, Hannah Callender, M. Drew LaMar and Natalia Toporikova
9. Disease Transmission Dynamics on Networks: Network Structure Versus Disease Dynamics
Winfried Just, Hannah Callender and M. Drew LaMar
10. Predicting Correlated Responses in Quantitative Traits Under Selection: A Linear Algebra Approach
Janet Steven and Bessie Kirkwood
11. Metabolic Analysis: Algebraic and Geometric Methods
Terrell L. Hodge, Blair R. Szymczyna and Todd J. Barkman
12. Reconstructing the Phylogeny: Computational Methods
Grady Weyenberg and Ruriko Yoshida
13. RNA Secondary Structures: Combinatorial Models and Folding Algorithms
Qijun He, Matthew Macauley and Robin Davies
14. RNA Secondary Structures: An Approach Through Pseudoknots and Fatgraphs
Christian M. Reidys
1. Graph Theory for Systems Biology: Interval Graphs, Motifs, and Pattern Recognition
John R. Jungck and Rama Viswanathan
2. Food Webs and Graphs
Margaret Midge Cozzens
3. Adaptation and Fitness Graphs
Kristina Crona and Emilie Wiesner
4. Signaling Networks: Asynchronous Boolean Models
Réka Albert and Raina Robeva
5. Dynamics of Complex Boolean Networks: Canalization, Stability, and Criticality
Qijun He, Matthew Macauley and Robin Davies
6. Steady State Analysis of Boolean Models: A Dimension Reduction Approach
Alan Veliz-Cuba and David Murrugarra
7. BioModel Engineering with Petri Nets
Mary Ann Blätke, Monika Heiner and Wolfgang Marwan
8. Transmission of Infectious Diseases: Data, Models, and Simulations
Winfried Just, Hannah Callender, M. Drew LaMar and Natalia Toporikova
9. Disease Transmission Dynamics on Networks: Network Structure Versus Disease Dynamics
Winfried Just, Hannah Callender and M. Drew LaMar
10. Predicting Correlated Responses in Quantitative Traits Under Selection: A Linear Algebra Approach
Janet Steven and Bessie Kirkwood
11. Metabolic Analysis: Algebraic and Geometric Methods
Terrell L. Hodge, Blair R. Szymczyna and Todd J. Barkman
12. Reconstructing the Phylogeny: Computational Methods
Grady Weyenberg and Ruriko Yoshida
13. RNA Secondary Structures: Combinatorial Models and Folding Algorithms
Qijun He, Matthew Macauley and Robin Davies
14. RNA Secondary Structures: An Approach Through Pseudoknots and Fatgraphs
Christian M. Reidys
Recenzii
"...makes an important contribution to mathematical biology education. It brings to the reader important biological problems and novel mathematical approaches that are mostly not discussed in other undergraduate texts on the subject." --Society for Industrial and Applied Mathematics
"The book will serve as an excellent resource for instructors in the overlap between biology, mathematics, and computing who are looking for interesting and well-worked-out examples that apply algebra to modern biological questions." --The Quarterly Review of Biology
"This is an excellent book which would be suitable as a textbook...I therefore strongly recommend it, over other classic texts, for use in teaching Discrete Mathematics." --MAA.org
"The book will serve as an excellent resource for instructors in the overlap between biology, mathematics, and computing who are looking for interesting and well-worked-out examples that apply algebra to modern biological questions." --The Quarterly Review of Biology
"This is an excellent book which would be suitable as a textbook...I therefore strongly recommend it, over other classic texts, for use in teaching Discrete Mathematics." --MAA.org