Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2011-09-26
Biology
Quantitative Biology
Populations and Evolution
Version submitted to Algorithms for Molecular Biology. A number of fixes from previous version
Scientific paper
Although taxonomy is often used informally to evaluate the results of phylogenetic inference and find the root of phylogenetic trees, algorithmic methods to do so are lacking. In this paper we formalize these procedures and develop algorithms to solve the relevant problems. In particular, we introduce a new algorithm that solves a "subcoloring" problem for expressing the difference between the taxonomy and phylogeny at a given rank. This algorithm improves upon the current best algorithm in terms of asymptotic complexity for the parameter regime of interest; we also describe a branch-and-bound algorithm that saves orders of magnitude in computation on real data sets. We also develop a formalism and an algorithm for rooting phylogenetic trees according to a taxonomy. All of these algorithms are implemented in freely-available software.
Gallagher Aaron
Matsen Frederick A.
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