Mathematical Biology Modules Based on Modern Molecular Biology and Modern Discrete Mathematics

Author:

Robeva Raina1,Davies Robin2,Hodge Terrell3,Enyedi Alexander4

Affiliation:

1. Departments of *Mathematical Sciences and

2. Biology, Sweet Briar College, Sweet Briar, VA 24595; and

3. Departments of ‡Mathematics and

4. Biological Sciences, Western Michigan University, Kalamazoo MI 49008

Abstract

We describe an ongoing collaborative curriculum materials development project between Sweet Briar College and Western Michigan University, with support from the National Science Foundation. We present a collection of modules under development that can be used in existing mathematics and biology courses, and we address a critical national need to introduce students to mathematical methods beyond the interface of biology with calculus. Based on ongoing research, and designed to use the project-based-learning approach, the modules highlight applications of modern discrete mathematics and algebraic statistics to pressing problems in molecular biology. For the majority of projects, calculus is not a required prerequisite and, due to the modest amount of mathematical background needed for some of the modules, the materials can be used for an early introduction to mathematical modeling. At the same time, most modules are connected with topics in linear and abstract algebra, algebraic geometry, and probability, and they can be used as meaningful applied introductions into the relevant advanced-level mathematics courses. Open-source software is used to facilitate the relevant computations. As a detailed example, we outline a module that focuses on Boolean models of the lac operon network.

Publisher

American Society for Cell Biology (ASCB)

Subject

General Biochemistry, Genetics and Molecular Biology,Education

Reference41 articles.

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3. Committee on Mathematical Sciences Research for DOEs Computational Biology, National Research Council (2005). Mathematics and 21st Century Biology In: Washington, DC: The National Academies Press.

4. Committee on Prospering in the Global Economy of the 21st Century: An Agenda for American Science and Technology (2007). Rising Above The Gathering Storm: Energizing and Employing America for a Brighter Economic Future In: Washington, DC: The National Academies Press.

5. Cox D., Little J., O'Shea D. (2007). Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra In: 3rd ed. New York: Springer.

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