Biology at all scales has become a data-driven science, with large-scale datasets driving fields from population genomics to ecology. Practicing biologists have no choice but to use computational approaches, statistics, modeling, and other data science tools in their research. However, undergraduate biology education still primarily focuses on nonquantitative descriptions. This book provides students whose background is in biology with an introduction to modeling biological systems using mathematical, computational, and statistical tools. It is based on a series of hands-on analyses conducted with open-source tools that allow the students to discover for themselves emergent properties of biological systems that are not evident without using model-based approaches. The goal of this book is to provide a "turn-key" introductory quantitative biology course suitable for all biology students. The book provides the narrative for the analyses and discussions to be done in class, with support from the included website, slides, and test material.
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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.
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