Overview
- Jump-starts readers with a visual introduction to the main ideas of molecular phylogenetics
- Provides competitive dice games to equip players with an intuitive grasp of evolutionary models
- Features hands-on exercises to foster and assess mastery of the material and to stimulate critical thinking
Part of the book series: SpringerBriefs in Systems Biology (BRIEFSBIOSYS)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book serves as a brief introduction to phylogenetic trees and molecular evolution for biologists and biology students. It does so by presenting the main concepts in a variety of ways: first visually, then in a history, next in a dice game, and finally in simple equations.
The content is primarily designed to introduce upper-level undergraduate and graduate students of biology to phylogenetic tree reconstruction and the underlying models of molecular evolution. A unique feature also of interest to experienced researchers is the emphasis on simple ways to quantify the uncertainty in the results more fully than is possible with standard methods.
Authors and Affiliations
About the author
Methods and models of David R. Bickel have been published in Molecular Biology and Evolution and other journals specialized in molecular evolution and phylogenetics. He teaches an interactive course on the topic as an Associate Professor at the University of North Carolina at Greensboro.
Bibliographic Information
Book Title: Phylogenetic Trees and Molecular Evolution
Book Subtitle: A Hands-on Introduction with Uncertainty Quantification Corrected
Authors: David R. Bickel
Series Title: SpringerBriefs in Systems Biology
DOI: https://doi.org/10.1007/978-3-031-11958-3
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-11957-6Published: 30 September 2022
eBook ISBN: 978-3-031-11958-3Published: 29 September 2022
Series ISSN: 2193-4746
Series E-ISSN: 2193-4754
Edition Number: 1
Number of Pages: XIII, 106
Number of Illustrations: 7 b/w illustrations, 14 illustrations in colour
Topics: Evolutionary Biology, Biological Techniques, Bioinformatics