Species Tree Inference
eBook - ePub

Species Tree Inference

A Guide to Methods and Applications

Laura Kubatko, L. Lacey Knowles, Laura Kubatko, L. Lacey Knowles

  1. 408 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Species Tree Inference

A Guide to Methods and Applications

Laura Kubatko, L. Lacey Knowles, Laura Kubatko, L. Lacey Knowles

Book details
Table of contents
Citations

About This Book

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 today's leading scholars in the field to provide an incisive guide to the latest practices for analyzing 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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Table of contents

    Citation styles for Species Tree Inference

    APA 6 Citation

    Kubatko, L., Knowles, L., Kubatko, L., & Knowles, L. (2023). Species Tree Inference ([edition unavailable]). Princeton University Press. Retrieved from https://www.perlego.com/book/3736735 (Original work published 2023)

    Chicago Citation

    Kubatko, Laura, Lacey Knowles, Laura Kubatko, and Lacey Knowles. (2023) 2023. Species Tree Inference. [Edition unavailable]. Princeton University Press. https://www.perlego.com/book/3736735.

    Harvard Citation

    Kubatko, L. et al. (2023) Species Tree Inference. [edition unavailable]. Princeton University Press. Available at: https://www.perlego.com/book/3736735 (Accessed: 1 July 2024).

    MLA 7 Citation

    Kubatko, Laura et al. Species Tree Inference. [edition unavailable]. Princeton University Press, 2023. Web. 1 July 2024.