Overview
- Provides numerous coding examples throughout the book
- Contains coding problems at the end of each main chapter with solutions provided for select examples online
- Contains 100 figures showing summaries of genetic data, results of analysis, or conceptual ideas
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the author
Ryan J. Haasl is an Associate Professor of Biology at the University of Wisconsin-Platteville. He holds an M.A. in Entomology from the University of Kansas and a Ph.D. in Genetics from the University of Wisconsin-Madison. His research focuses on the use of simulation and statistical computing to explore favorite topics such as natural selection targeting microsatellites, phylogenomics, and the consolidation of microevolutionary dynamics and macroevolutionary pattern. He is passionate about teaching genetics and evolutionary biology to undergraduate students and fostering public literacy in the biological sciences through outreach.
Bibliographic Information
Book Title: Nature in Silico
Book Subtitle: Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R
Authors: Ryan J. Haasl
DOI: https://doi.org/10.1007/978-3-030-97381-0
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-97380-3Published: 02 September 2022
Softcover ISBN: 978-3-030-97383-4Published: 03 September 2023
eBook ISBN: 978-3-030-97381-0Published: 01 September 2022
Edition Number: 1
Number of Pages: XVIII, 313
Number of Illustrations: 96 b/w illustrations
Topics: Community & Population Ecology, Evolutionary Biology, Landscape Ecology, Computer Appl. in Life Sciences, Plant Genetics and Genomics, Animal Genetics and Genomics