Recrafting the neighbor-joining method

<p>Abstract</p> <p>Background</p> <p>The neighbor-joining method by Saitou and Nei is a widely used method for constructing phylogenetic trees. The formulation of the method gives rise to a canonical Θ(<it>n</it><sup>3</sup>) algorithm upon which...

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Bibliographic Details
Main Authors: Pedersen Christian NS, Fagerberg Rolf, Brodal Gerth S, Mailund Thomas, Phillips Derek
Format: Article
Language:English
Published: BMC 2006-01-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/29
Description
Summary:<p>Abstract</p> <p>Background</p> <p>The neighbor-joining method by Saitou and Nei is a widely used method for constructing phylogenetic trees. The formulation of the method gives rise to a canonical Θ(<it>n</it><sup>3</sup>) algorithm upon which all existing implementations are based.</p> <p>Results</p> <p>In this paper we present techniques for speeding up the canonical neighbor-joining method. Our algorithms construct the same phylogenetic trees as the canonical neighbor-joining method. The best-case running time of our algorithms are <it>O</it>(<it>n</it><sup>2</sup>) but the worst-case remains <it>O</it>(<it>n</it><sup>3</sup>). We empirically evaluate the performance of our algoritms on distance matrices obtained from the Pfam collection of alignments. The experiments indicate that the running time of our algorithms evolve as Θ(<it>n</it><sup>2</sup>) on the examined instance collection. We also compare the running time with that of the QuickTree tool, a widely used efficient implementation of the canonical neighbor-joining method.</p> <p>Conclusion</p> <p>The experiments show that our algorithms also yield a significant speed-up, already for medium sized instances.</p>
ISSN:1471-2105