Skip to main content

The Analysis of Multiple DNA or Protein Sequences

  • Chapter
  • 927 Accesses

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

Abstract

In Example 3 of Section 3.4.3 we considered the test of the hypothesis that the probabilities for the four nucleotides in a DNA sequence are equal to a set of prescribed values. In this section we consider the test of the hypothesis that the two sets of probabilities for the four nucleotides in two DNA sequences are equal, no specific claim being made as to what the probabilities are. The data used for this test are as given in Table 6.1.

Keywords

  • Global Alignment
  • Substitution Matrix
  • Amino Acid Pair
  • Substitution Matrice
  • Geometric Random Variable

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_6
  • Chapter length: 37 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). The Analysis of Multiple DNA or Protein Sequences. In: Statistical Methods in Bioinformatics. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3247-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-3247-4_6

  • 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