Rescuing concatenation with maximum likelihood using supermatrix rooted triples
| dc.contributor.author | DeGiorgio, M. | |
| dc.contributor.author | Degnan, J.H. | |
| dc.date.accessioned | 2010-08-03T00:41:41Z | |
| dc.date.available | 2010-08-03T00:41:41Z | |
| dc.date.issued | 2009 | en |
| dc.description.abstract | Concatenated alignments are often used to infer species-level reslationships. Previous studies have shown that analysis of concatenated alignments using maximum likelihood (ML) can produce misleading results. We develop a polynomial-time method that constructs a species tree through inferred rooted triples from concatenated alignments. We call this method SuperMatrix Rooted Triple (SMRT). We show that SMRT performs well in simulations and then show that it is a statistically consistent estimator of a clocklike species tree under a binary substitution model as well as other assumptions. SMRT is therefore a computationally efficient and statistically consistent estimator of species trees. | en |
| dc.identifier.citation | DeGiorgio, M., Degnan, J.H. (2009) Rescuing concatenation with maximum likelihood using supermatrix rooted triples. Philadelphia, PA, USA: 9th Workshop on Algorithms in Bioinformatics (WABI 2009), 12-13 Sep 2009. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/4218 | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury. Mathematics and Statistics | en |
| dc.rights.uri | https://hdl.handle.net/10092/17651 | en |
| dc.subject.marsden | Fields of Research::230000 Mathematical Sciences::230100 Mathematics::230101 Mathematical logic, set theory, lattices and combinatorics | en |
| dc.subject.marsden | Fields of Research::230000 Mathematical Sciences::239900 Other Mathematical Sciences::239901 Biological Mathematics | en |
| dc.subject.marsden | Fields of Research::270000 Biological Sciences::270200 Genetics::270299 Genetics not elsewhere classified | en |
| dc.title | Rescuing concatenation with maximum likelihood using supermatrix rooted triples | en |
| dc.type | Conference Contributions - Other |
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