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Book Chapter

An Improved Algorithm for the Macro-evolutionary Phylogeny Problem


Behzadi,  Behshad
Max Planck Society;

Vingron,  Martin
Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Behzadi, B., & Vingron, M. (2006). An Improved Algorithm for the Macro-evolutionary Phylogeny Problem. In Combinatorial Pattern Matching (pp. 177-187). Berlin/Heidelberg: Springer.

Cite as:
Macro-evolutionary processes (e.g., gene duplication and loss) have rarely been incorporated into gene phylogeny reconstruction methods. Durand et al. [5] have proposed a polynomial time dynamic programming algorithm to find the gene family tree that optimizes a macro-evolutionary criterion which is the weighted sum of the number of gene duplications and losses. The complexity of this algorithm is O(nm2) where n is the number of species and m is the maximum number of copies of the gene in a species. In this paper, we propose an improved algorithm with time complexity of O(nm) for solving this problem. We also show, that the problem can be solved in O(n) if unit costs are considered for both loss and duplication.