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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... Read More
Format: Hardback
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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

About the Author

Gilles Didier is a researcher in applied mathematics at the Institut Montpellierain Alexander Grothendieck (IMAG), a joint research unit of the Universitรฉ de Montpellier and the CNRS, France. He is particularly interested in the modeling of biological evolution.

Stรฉphane Guindon is a researcher at the Computer Science, Robotics and Microelectronics Laboratory of Montpellier (LIRMM), a joint research unit of the Universitรฉ de Montpellier and the CNRS France. His studies focus on probabilistic models describing evolution at different time scales.

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