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

Eigen, M.; Winkler-Oswatitsch, R.; Dress, A.

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

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

MPS-Authors

/persons/resource/persons15031

Eigen, M.
Abteilung Biochemische Kinetik, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons15607

Winkler-Oswatitsch, R.
Abteilung Biochemische Kinetik, MPI for biophysical chemistry, Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

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.

引用: https://hdl.handle.net/11858/00-001M-0000-002D-4D28-3

要旨

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.