Free Access
Math. Model. Nat. Phenom.
Volume 6, Number 6, 2011
Biomathematics Education
Page(s) 245 - 259
Section Continuous Modeling
Published online 05 October 2011
  1. M. Allarakhia, A. Wensley. Systems biology: melting the boundaries in drug discovery research. Technology Management: A Unifying Discipline for Melting the Boundaries, (2005), 262–274. [CrossRef] [Google Scholar]
  2. L. Allen. An Introduction to mathematical biology, Pearson, New York, 2007. [Google Scholar]
  3. S. Bauer, Z. Barta, B. Ens, G. Hays, J. McNamara, M. Klassen. Animal migration: linking models and data beyond taxonomic limits. Biol. Lett., 5 (2009), No. 4, 433–435. [CrossRef] [PubMed] [Google Scholar]
  4. R. Baxter. Environmental effects of dams and impoundments. Ann. Rev. Ecol. Syst., 8 (1977), 255–93. [Google Scholar]
  5. W. Bialek, D. Botstein. Introductory science and mathematics education for the 21th century biologists. Science, 303 (2004), 788–790. [CrossRef] [PubMed] [Google Scholar]
  6. J. Bower. Looking for Newton: realistic modeling in modern biology. Brains, Minds and Media, 1 (2005), bmm217 (urn:nbn:de:0009-3-2177). [Google Scholar]
  7. V. Buonaccorsi, A. Skibiel. A striking demonstration of the Poisson distribution. Teach. Stat, 27 (2005), 8-10. [CrossRef] [Google Scholar]
  8. C. Cobelli. Modeling and identification of endocrine-metabolic systems. Theoretical aspects and their importance in practice. Math. Biosci., 72 (1984), 263–289. [CrossRef] [Google Scholar]
  9. J. Cohen. Mathematics Is Biology’s Next Microscope, Only Better; Biology Is Mathematics’ Next Physics, Only Better. PLoS Biol., 2 (2004), e439. Published online 2004 December 14. doi: 10.1371/journal.pbio.0020439. [Google Scholar]
  10. J. Crow and M. Kimura. An Introduction to Population Genetics Theory. Harper & Row, New York, 1970. [Google Scholar]
  11. M. Evans, N. Hastings, B. Peacock. Erlang distribution. Ch. 12 in Statistical Distributions, 3rd ed., Wiley, New York, 2000, 71–73. [Google Scholar]
  12. A. Ford. Modeling the environment. Island Press, 2010. [Google Scholar]
  13. W. Granta, J. Matisb, and T. Millerb. A Stochastic Compartmental Model for Migration of Marine Shrimp. Ecological Modeling, 54 (1991), 1–15. [CrossRef] [Google Scholar]
  14. L. Gross. Quantitative training for life science students. BioScience, 44 (1994), 59. [CrossRef] [Google Scholar]
  15. P. Higgs. Frequency distributions in population genetics parallel those in statistical physics. Physical Review E, (1995), No. 51, 95–101. [CrossRef] [Google Scholar]
  16. W. Hwang, Y. Cho, A. Zhang, M. Ramanathan. A novel functional module detection algorithm for protein-protein interaction networks. Algorithms for Molecular Biology (2006), No. 2, 24, doi:10.1186/1748-7188-1-24. [Google Scholar]
  17. J. Jacquez. Compartmental Analysis in Biology and Medicine, 3rd ed., Biomedware, Ann Arbor, MI, 1996. [Google Scholar]
  18. I. Karsai, G. Kampis. The crossroad between biology and mathematics: Scientific method as the basics of scientific literacy. BioScience, 60 (2010), 632–638. [CrossRef] [Google Scholar]
  19. J. Knisley. Netlogo Migration Simulations,, (2011). [Google Scholar]
  20. J. Knisley, I. Karsai, A. Godbole, M. Helfgott, K. Joplin, E. Seier, D. Moore, H. Miller. Storytelling in the Symbiosis Project. To appear in Undergraduate Mathematics for the Life Sciences: Processes, Models, Assessment, and Directions, MAA Lecture Notes, 2010. [Google Scholar]
  21. J. Knisley. A 4-Stage Model of Mathematical Learning. The Mathematics Educator, 12 (2002), No. 1, 11–16. [Google Scholar]
  22. D. Lauffenburger. Receptors. Oxford University Press, Oxford, 1993. [Google Scholar]
  23. M. Malice, C. Lefevre. On Linear Stochastic Compartmental Models in Discrete Time. Bulletin of Mathematical Biology, 47 (1985), No. 2, 287–293. [CrossRef] [MathSciNet] [Google Scholar]
  24. D. Moore, M. Helfgott, A. Godbole, K. Joplin, I. Karsai, J. Knisley, H. Miller, E. Seier. Creating Quantitative Biologists: The Immediate Future of SYMBIOSIS. To appear in Undergraduate Mathematics for the Life Sciences: Processes, Models, Assessment, and Directions, MAA Lecture Notes, 2010. [Google Scholar]
  25. J. Murray. Mathematical Biology. Springer, New York, 1989. [Google Scholar]
  26. W. Reed, B. Hughes. Theoretical size distribution of fossil taxa: analysis of a null model. Theoretical Biology and Medical Modeling, 4 (2007), 12, doi:10.1186/1742-4682-4-12 [CrossRef] [Google Scholar]
  27. L. Steen, ed. Math & Bio 2010: Linking Undergraduate Disciplines. Mathematical Association of America, Washington, DC, 2005. [Google Scholar]
  28. D. Usher, T. Driscoll, P. Dhurjati, J. Pelesko, L. Rossi, G. Schleiniger, K. Pusecker, H. White. A transformative model for undergraduate quantitative biology education. CBE Life Sci Educ., 9 (2010), No. 3, 181–188. [CrossRef] [PubMed] [Google Scholar]
  29. D. Welch, E. Rechisky, M. Melnychuk, A. Porter, C. Walters. Survival of Migrating Salmon Smolts in Large Rivers With and Without Dams. PLoS Biol, 6 (2008), No. 10, e265. doi:10.1371/journal.pbio.0060265. [CrossRef] [PubMed] [Google Scholar]
  30. U. Wilensky. NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL, (1999). [Google Scholar]

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