Models and Methods for Biological Evolution
eBook - PDF

Models and Methods for Biological Evolution

Mathematical Models and Algorithms to Study Evolution

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Models and Methods for Biological Evolution

Mathematical Models and Algorithms to Study Evolution

About this book

Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that involve both mathematical modeling 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 optimization, 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 get a deeper understanding of widely used techniques of evolutionary data analysis.

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Yes, you can access Models and Methods for Biological Evolution by Gilles Didier,Stephane Guindon in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-ISTE
Year
2024
Print ISBN
9781789450699
eBook ISBN
9781394284238

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1. Trees: Combinatorics and Models
  7. Chapter 2. Models of Sequences and Discrete Traits Evolution
  8. Chapter 3. Evolutionary Models of Continuous Traits
  9. Chapter 4. Correlated Evolution: Models and Methods
  10. Chapter 5. A Century of Genomic Rearrangements
  11. Chapter 6. Phylogenetic Inference: Distance-Based Methods
  12. Chapter 7. Computing Inference in Phylogenetic Trees
  13. Chapter 8. The Bayesian Paradigm in Molecular Phylogeny
  14. Chapter 9. Measures of Branch Support in Phylogenetics
  15. Chapter 10. Fossils and Phylogeny
  16. Chapter 11. Phylodynamics
  17. Chapter 12. Inference of Demographic Processes in Human Populations
  18. List of Authors
  19. Index
  20. EULA