Mathematical Biology

This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field of genomics.

Focuses on issues of contemporary interest, such as cancer, genetics, and the rapidly growing field of genomics Includes new chapters on parasites, cancer, and phylogenetics, as well as an introduction to online resources for DNA, protein lookups, and popular pattern matching tools such as BLAST Introduces emerging field of algebraic statistics its power illustrated in the context of phylogenetics Integrates syntax for both the Maple and Matlab systems in a tandem format Provides graphic visualizations for all mathematical results Includes supplementary material: sn.pub/extras

Autorentext

Ronald W. Shonkwiler is professor emeritus at Georgia Institute of Technology School of Mathematics. He received his PhD in 1970. His areas of expertise include: stochastic optimization, computer simulation, Monte Carlo numerical methods, mathematical biology, and reproducing Kernel Hilbert spaces. Franklin Mendivil is a professor at Acadia University in Nova Scotia. He received his BSCE in Civil Engineering and his PhD in 1996 at Georgia Institute of Technology. In addition to the first edition of this text, Professor Mendivil co-authored "Fractal-Based Methods in Analysis" 2012.

Inhalt
Cells, Signals, Growth, and Populations.- Reproduction and the Drive for Survival.- Interactions Between Organisms and Their Environment.- Age-Dependent Population Structures.- Random Movements in Space and Time.- Neurophysiology.- The Biochemistry of Cells.- Biology, Mathematics, and a Mathematical Biology Laboratory.- Systems and Diseases.- The Biological Disposition of Drugs and Inorganic Toxins.- A Biomathematical Approach to HIV and AIDS.- Parasites and Their Diseases.- Cancer: A Disease of the DNA.- Some Mathematical Tools.- Genomics.- Genetics.- Genomics.- Phylogenetics.