Zum Hauptinhalt springen
Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Algebraic and Discrete Mathematical Methods for Modern Biology -

Algebraic and Discrete Mathematical Methods for Modern Biology

Raina Robeva (Herausgeber)

Buch | Hardcover
382 Seiten
2015
Academic Press Inc (Verlag)
978-0-12-801213-0 (ISBN)
CHF 159,95 inkl. MwSt
  • Versand in 15-20 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
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.

Raina Robeva was born in Sofia, Bulgaria. She holds a Ph.D. in Mathematics from the University of Virginia and is a Professor of Mathematics and a Karl E. Peace Fellow in Mathematics at Randolph-Macon College in the United States. Her current research is in the broad fields of mathematical and systems biology. In addition to editing this second edition, she has authored and edited several books, including A Bridge to Higher Mathematics (CRC Press, 2024), Algebraic and Combinatorial Computational Biology (Academic Press, 2019), and Algebraic and Discrete Mathematical Methods for Modern Biology (Academic Press, 2015). She has chaired the Advisory Board of the National Institute for Mathematical and Biological Synthesis (NIMBioS), led the Committee on Special Interest Groups of the Mathematical Association of America, and served for over a decade as the founding Editor-in-Chief of Frontiers in Systems Biology.

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                                  

Verlagsort San Diego
Sprache englisch
Maße 216 x 276 mm
Gewicht 1340 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften Biologie
ISBN-10 0-12-801213-7 / 0128012137
ISBN-13 978-0-12-801213-0 / 9780128012130
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich