English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Statistical geometry in sequence space: A method of quantitative comparative sequence analysis.

Eigen, M., Winkler-Oswatitsch, R., & Dress, A. (1988). Statistical geometry in sequence space: A method of quantitative comparative sequence analysis. Proceedings of the National Academy of Sciences of the United States of America, 85(16), 5913-5917.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-4D28-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-4D2A-0
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Eigen, M.1, Author              
Winkler-Oswatitsch, R.1, Author              
Dress, A., Author
Affiliations:
1Abteilung Biochemische Kinetik, MPI for biophysical chemistry, Max Planck Society, ou_578616              

Content

show
hide
Free keywords: -
 Abstract: A statistical method of comparative sequence analysis that combines horizontal and vertical correlations among aligned sequences is introduced. It is based on the analysis mainly of quartet combinations of sequences considered as geometric configurations in sequence space. Numerical invariants related to relative internal segment lengths are assigned to each such configuration and statistical averages of these invariants are established. They are used for internal calibration of the topology of divergence and for quantitative determination of the noise level. Comparison of computer simulations with experimental data reveals the high sensitivity of assignment of basic topologies even if much randomized. In addition, these procedures are checked by vertical analysis of the aligned sequences to allow the study of divergences with positionally varying substitution probabilities.

Details

show
hide
Language(s): eng - English
 Dates: 1988-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proceedings of the National Academy of Sciences of the United States of America
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 85 (16) Sequence Number: - Start / End Page: 5913 - 5917 Identifier: -