Species Tree Inference : A Guide to Methods and Applications

Regular price $105.00
Unit price
per
  • Author:
    KUBATO Laura / KNOWLES L Lacey
  • ISBN:
    9780691207605
  • Publication Date:
    March 2023
  • Edition:
    1
  • Pages:
    352
  • Binding:
    Paperback
  • Publisher:
    Princeton University Press
  • Country of Publication:
Species Tree Inference : A Guide to Methods and Applications
Species Tree Inference : A Guide to Methods and Applications

Species Tree Inference : A Guide to Methods and Applications

Regular price $105.00
Unit price
per
  • Author:
    KUBATO Laura / KNOWLES L Lacey
  • ISBN:
    9780691207605
  • Publication Date:
    March 2023
  • Edition:
    1
  • Pages:
    352
  • Binding:
    Paperback
  • Publisher:
    Princeton University Press
  • Country of Publication:

Description

An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists

The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of todays leading scholars in the field to provide an incisive guide to the latest practices for analysing multilocus sequence data.

This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ.

By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.

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  • An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists

    The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of todays leading scholars in the field to provide an incisive guide to the latest practices for analysing multilocus sequence data.

    This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ.

    By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.

An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists

The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of todays leading scholars in the field to provide an incisive guide to the latest practices for analysing multilocus sequence data.

This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ.

By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.