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Branch-and-Bound Approach for Parsimonious Inference of a Species Tree from a Set of Gene Family Trees

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Software Tools and Algorithms for Biological Systems

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 696))

Abstract

We describe a Branch-and-Bound algorithm for computing a parsimonious species tree, given a set of gene family trees. Our algorithm can consider three cost measures: number of gene duplications, number of gene losses, and both combined. Moreover, to cope with intrinsic limitations of Branch-and-Bound algorithms for species trees inference regarding the number of taxa that can be considered, our algorithm can naturally take into account predefined relationships between sets of taxa. We test our algorithm on a dataset of eukaryotic gene families spanning 29 taxa.

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Correspondence to Jean-Philippe Doyon .

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Doyon, JP., Chauve, C. (2011). Branch-and-Bound Approach for Parsimonious Inference of a Species Tree from a Set of Gene Family Trees. In: Arabnia, H., Tran, QN. (eds) Software Tools and Algorithms for Biological Systems. Advances in Experimental Medicine and Biology, vol 696. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7046-6_29

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