Models and methods for biological evolution : mathematical models and algorithms to study evolution

書誌事項

Models and methods for biological evolution : mathematical models and algorithms to study evolution

coordinated by Gilles Didier, Stéphane Guindon

(Sciences, . computer science / field directors, Valérie Berthé and Jean-Charles Pomerol . bioinformatics / subject heads, Anne Siegel and Hélène Touzet)

ISTE, 2024 , John Wiley & Sons

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注記

Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)

Includes bibliographical references and index

収録内容

  • Chapter 1. Trees: combinatorics and models
  • Chapter 2. Models of sequences and discrete traits evolution
  • Chapter 3. Evolutionary models of continuous traits
  • Chapter 4. Correlated evolution: models and methods
  • Chapter 5. A century of genomic rearrangements
  • Chapter 6. Phylogenetic inference: distance-based methods
  • Chapter 7. Computing inference in phylogenetic trees
  • Chapter 8. The Bayesian paradigm in molecular phylogeny
  • Chapter 9. Measures of branch support in phylogenetics
  • Chapter 10. Fossils and phylogency
  • Chapter 11. Phylodynamics
  • Chapter 12. Inference of demographic processes in human populations

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