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Multiple Maxima of Likelihood in Phylogenetic Trees: An Analytic Approach
Citation
Chor, B and Hendy, MD and Holland, BR and Penny, D, Multiple Maxima of Likelihood in Phylogenetic Trees: An Analytic Approach, Molecular Biology and Evolution, 17, (10) pp. 1529-1541. ISSN 0737-4038 (2000) [Refereed Article]
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Copyright Statement
The definitive publisher-authenticated version is available online at: www.oxfordjournals.org
DOI: doi:10.1093/oxfordjournals.molbev.a026252
Abstract
Maximum likelihood (ML) is a widely used criterion for selecting optimal evolutionary trees. However, the nature of the likelihood surface for trees is still not sufficiently understood, especially with regard to the frequency of multiple optima. Here, we initiate an analytic study for identifying sequences that generate multiple optima. We concentrate on the problem of optimizing edge weights for a given tree or trees (as opposed to searching through the space of all trees). We report a new approach to computing ML directly, which we have used to find large families of sequences that have multiple optima, including sequences with a continuum of optimal points. Such data sets are best supported by different (two or more) phylogenies that vary significantly in their timings of evolutionary events. Some standard biological processes can lead to data with multiple optima, and consequently the field needs further investigation. Our results imply that hill-climbing techniques as currently implemented in various software packages cannot guarantee that one will find the global ML point, even if it is unique.
Item Details
Item Type: | Refereed Article |
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Research Division: | Mathematical Sciences |
Research Group: | Applied mathematics |
Research Field: | Biological mathematics |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the mathematical sciences |
UTAS Author: | Holland, BR (Professor Barbara Holland) |
ID Code: | 62954 |
Year Published: | 2000 |
Web of Science® Times Cited: | 64 |
Deposited By: | Mathematics |
Deposited On: | 2010-03-31 |
Last Modified: | 2012-04-30 |
Downloads: | 1 View Download Statistics |
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