Preface. Acknowledgments. Chapter 1: On the Road: Dynamical Models of Infectious Diseases and Physical Systems. Chapter 2: Outbreaks: Modeling an Infectious Disease Outbreak with Differential Equations. Chapter 3: Building a Better Cat: Building a Predator–Prey Model and Chaos. Chapter 4: Survival of the Fastest: Modeling Competition between Species and between Cells. Chapter 5: Emergence: Genetic Dominance as an Emergent Property of Biochemical Models. Chapter 6: Growing Too Big: Full-Cell Metabolic Models. Chapter 7: Shrinking Too Small: Noise in Biochemical Systems. Chapter 8: Time and Chance: Probability and Random Variables. Chapter 9: Is It Normal?: Sampling, Statistics, and the Central Limit Theorem. Chapter 10: Lather, Rinse, Repeat: A Gentle Introduction to Computer Programming. Chapter 11: Agents of Change: Computational Models of Genetic Drift. Chapter 12: Ducks in a Row: Bioinformatics and Algorithmic Approaches to Biological Data. Chapter 13: Life on a Tree: Phylogenetics. Chapter 14: Life in a Net: Network Tools for Modeling Complex Systems from a Cell to an Ecosystem. Chapter 15: Scale: Metabolic Rate, Body Size, and Fractal Geometry. Chapter 16: Bits: Life as an Information Transfer Process. Glossary. Index.
Biography
Gavin Conant worked as a researcher in evolutionary and computational biology for more than 25 years and has authored or coauthored more than 80 peer-reviewed scholarly articles, as well as book chapters and articles for the popular press. His research spans bioinformatic algorithm development, data visualization, evolutionary biology, metabolic modeling, parallel computing, and microbial ecology.
