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Mathematical models in biology : an introduction / Elizabeth S. Allman, John A. Rhodes.

By: Allman, Elizabeth Spencer, 1965-

Contributor(s): Rhodes, John A. (John Anthony), 1960-

Language: English Publisher: New York : Cambridge University Press, 2004Description: 1 online resource (xiii, 370 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 0521819806 (hb.); 9780511790911Subject(s): Biology -- Mathematical modelsGenre/Form: Electronic books.DDC classification: 570/.1/5118 LOC classification: QH323.5 | .A44 2004Online resources: Full text available from Cambridge University Press Click here to view

Contents:

Dynamic modeling with different equations -- Linear models of structured populations -- Non-linear models of interactions -- Modeling molecular evolution -- Constructing phylogenic trees -- Genetics -- Infectious disease modeling -- Curve fitting and biological modeling -- Basic analysis of numerical data.

Summary: Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models. Assuming no knowledge of calculus, the development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer research with MATLAB is incorporated throughout in exercises and more extensive projects to provide readers with actual experience with the mathematical models.

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Item type	Current location	Home library	Call number	Status	Date due	Barcode	Item holds
EBOOK	COLLEGE LIBRARY	COLLEGE LIBRARY	570.15118 Al568 2012 (Browse shelf)	Available		CL-46124

Total holds: 0

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Includes bibliographical references (p. 362-366).

Dynamic modeling with different equations --
Linear models of structured populations --
Non-linear models of interactions --
Modeling molecular evolution --
Constructing phylogenic trees --
Genetics --
Infectious disease modeling --
Curve fitting and biological modeling --
Basic analysis of numerical data.

Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models. Assuming no knowledge of calculus, the development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer research with MATLAB is incorporated throughout in exercises and more extensive projects to provide readers with actual experience with the mathematical models.

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