Integer linear programming as a tool for constructing trees from quartet data

  • Authors:
  • Jan Weyer-Menkhoff;Claudine Devauchelle;Alex Grossmann;Stefan Grünewald

  • Affiliations:
  • Universität Göttingen, Biologische Fakultäet, Institut für Mikrobiologie und Genetik, Abt. Bioinformatik Goldschmidtstr. 1, D-37073 Göttingen, Germany;Laboratoire Génome et Informatique (LGI), Genopole-Evry, 523 place des Terrasses, 91000 Evry, France;Laboratoire Génome et Informatique (LGI), Genopole-Evry, 523 place des Terrasses, 91000 Evry, France;Allan Wilson Centre for Molecular Ecology and Evolution, Department of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, New Zealand

  • Venue:
  • Computational Biology and Chemistry
  • Year:
  • 2005

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Abstract

The task of the quartet puzzling problem is to find a best-fitting binary X-tree for a finite n-set from confidence values for the 3n4 binary trees with exactly four leaves from X, its fitness being measured by the sum of the confidence values of all ''induced'' four-leaves subtrees. We describe a method for finding an exact solution of this problem by integer linear programming. Similar procedures can also be used for finding, e.g. best-fitting ''circular'' networks. A crucial problem in this context is, of course, how to obtain the input confidence values for the quartet trees. We propose to use inner products of rate-matrix diagonals calculated for pairs of taxa and present the trees resulting from applying our approach to two data sets of up to 36 mitochondrial sequences of mammals including an outgroup.