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Models and Methods for Biological Evolution
Mathematical Models and Algorithms to Study Evolution
Brief Description
Biological evolution is the phenomenon concerning how species are born, transformed, or disappear over time. Its study relies on sophisticated methods that involve both mathematical modelling of the biological processes at play and the design of efficient algorithms to fit these models to genetic and morphological...
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Models and Methods for Biological Evolution
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Description
Biological evolution is the phenomenon concerning how species are born, transformed, or disappear over time. Its study relies on sophisticated methods that involve both mathematical modelling of the biological processes at play and the design of efficient algorithms to fit these models to genetic and morphological data.
Models and Methods for Biological Evolution outlines the main methods to study evolution and provides a broad overview illustrating the variety of formal approaches used, notably including combinatorial optimisation, stochastic models, and statistical inference techniques.
Some of the most relevant applications of these methods are detailed, concerning, for example, the study of migratory events of ancient human populations or the progression of epidemics.
This book should thus be of interest to applied mathematicians interested in central problems in biology, and to biologists eager to gain a deeper understanding of widely used techniques of evolutionary data analysis.
Book Details
INFORMATION
ISBN: 9781789450699
Publisher: ISTE Ltd
Format: Hardback
Date Published: 08 May 2024
Country: United Kingdom
Imprint: ISTE Ltd
Contributors:
- Edited by Gilles Didier
- Edited by Stephane Guindon
Audience: Professional and scholarly
DIMENSIONS
Weight: 794g
Pages: 336
Collections
About the Author
Gilles Didier is a researcher in applied mathematics at the Institut Montpellierain Alexander Grothendieck (IMAG), a joint research unit of the Université de Montpellier and the CNRS, France. He is particularly interested in the modeling of biological evolution.
Stéphane Guindon is a researcher at the Computer Science, Robotics and Microelectronics Laboratory of Montpellier (LIRMM), a joint research unit of the Université de Montpellier and the CNRS France. His studies focus on probabilistic models describing evolution at different time scales.
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