Biology, Mathematics, and a Mathematical Biology Laboratory

  • Ronald W. Shonkwiler
  • James Herod
Part of the Undergraduate Texts in Mathematics book series (UTM)


Mathematics and biology have a synergistic relationship. Biology produces interesting problems, mathematics provides models to understand them, and biology returns to test the mathematical models. Recent advances in computer algebra systems have facilitated the manipulation of complicated mathematical systems. This has made it possible for scientists to focus on understanding mathematical biology, rather than on the formalities of obtaining solutions to equations.


Mathematical Biology Real System Lyme Disease Computer Algebra System Symbolic Form 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1] The Future of Mathematical Biology:
    Mathematics and Biology: The Interface, Challenges, and Opportunities, National Science Foundation workshop, Lawrence Berkeley Laboratory, Berkeley, CA, U.S. Department of Energy, Washington, DC, 1992.Google Scholar
  2. [2] The Importance of Mathematics in The Life Sciences:
    L. J. Gross, Quantitative training for life-science students, Biosei., 44-2 (1994), 59.Google Scholar
  3. [3] Modeling in Biology:
    W.D. Hillis, Why physicists like models and why biologists should, Curr. Biol., 3-2 (1993), 79–81.CrossRefGoogle Scholar
  4. [4] Applications of Mathematical Biology:
    F. Hoppensteadt, Getting started in mathematical biology, Not. Amer. Math. Soc., 42-9 (1995), 969.MATHMathSciNetGoogle Scholar
  5. [5] DNA Sequences:
    D. Kandel, Y. Matias, R. Unger, and P. Winkler, Shuffling Biological Sequences, preprint, AT&T Bell Laboratories, Murray Hill, NJ, 1995.Google Scholar
  6. [6] Biochemistry of Nucleic Acids:
    A. Lehninger, Biochemistry, Worth Publishers, New York, 1975, 935.Google Scholar
  7. [7] Conquering Lyme Disease:
    F. S. Kantor, Disarming Lyme disease, Sci. Amer., 271 (1994), 34–39.CrossRefGoogle Scholar
  8. [8] The promise of genomics:
    G. Smith, Genomics Age, AMACOM, New York, 2005.Google Scholar

Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.School of MathematicsGeorgia Institute of TechnologyAtlantaUSA

Personalised recommendations