Skip to main content

Phylogenetic Tree Estimation

  • Chapter
  • 927 Accesses

Part of the Statistics for Biology and Health book series (SBH)

Abstract

The construction of phylogenetic trees is of interest in its own right in evolutionary studies. It is also useful in many other ways, for example in the prediction of gene function; aspects of this area of the emerging field of phylogenomics are discussed by Eisen (1998).

Keywords

  • Substitution Rate
  • Monophyletic Group
  • Maximum Likelihood Tree
  • Tree Reconstruction
  • Substitution Process

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-1-4757-3247-4_14
  • Chapter length: 38 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   74.99
Price excludes VAT (USA)
  • ISBN: 978-1-4757-3247-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and Permissions

Copyright information

© 2001 Springer Science+Business Media New York

About this chapter

Cite this chapter

Ewens, W.J., Grant, G.R. (2001). Phylogenetic Tree Estimation. In: Statistical Methods in Bioinformatics. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3247-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-3247-4_14

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-3249-8

  • Online ISBN: 978-1-4757-3247-4

  • eBook Packages: Springer Book Archive