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Title: Inferring evolutionary trees from ordinal data

Conference ·
OSTI ID:471698
 [1];  [2];  [3]
  1. Univ. of Toronto, Ontario (Canada)
  2. Univ. of Lethbridge (Canada)
  3. Queen`s Univ., Kingston, Ontario (Canada)

In this paper we present four results on the inference of evolutionary trees from ordinal information. An evolutionary tree T, or phylogeny, is an ordinal representation of a distance matrix , for all species a, b, c and d under consideration. In particular, we show that (1) Ordinal representations of distance matrices can be found in O(n{sup 2}log{sup 2} n) time where n is the number of species. Ordinal representations are shown to be unique, when they exist. (3) Determining if there is an ordinal representation for an incomplete distance matrix, a situation which arises in evolutionary studies, is NP-complete. (3) Finding a phylogeny that best fits a distance matrix containing ordinal errors is NP-complete. (4) Under reasonable conditions, a weighted ordinal representation of a distance matrix can be obtained in polynomial time.

OSTI ID:
471698
Report Number(s):
CONF-970142-; TRN: 97:001377-0047
Resource Relation:
Conference: 8. annual Association for Computing Machinery (ACM)-Society for Industrial and Applied Mathematics (SIAM) symposium on discrete algorithms, New Orleans, LA (United States), 5-7 Jan 1997; Other Information: PBD: 1997; Related Information: Is Part Of Proceedings of the eighth annual ACM-SIAM symposium on discrete algorithms; PB: 798 p.
Country of Publication:
United States
Language:
English

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