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  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.

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

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

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 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.

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Language(s): eng - English
 Dates: 1988-08
 Publication Status: Issued
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Title: Proceedings of the National Academy of Sciences of the United States of America
Source Genre: Journal
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Pages: - Volume / Issue: 85 (16) Sequence Number: - Start / End Page: 5913 - 5917 Identifier: -