New algorithms for the duplication-loss model
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
From Gene Trees to Species Trees
SIAM Journal on Computing
Bioinformatics
Fast local search for unrooted Robinson-foulds supertrees
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
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Supertree algorithms combine smaller phylogenetic trees into a single, comprehensive phylogeny, or supertree. Most supertree problems are NP-hard, and often heuristics identify supertrees with anomalous or unwanted relationships. We introduce knowledge-enhanced supertree problems, which seek an optimal supertree for a collection of input trees that can only be assembled from a set of given, possibly incompatible, phylogenetic relationships. For these problems we introduce efficient algorithms that, in a special setting, also provide exact solutions for the original supertree problems. We describe our algorithms and verify their performance based on the Robinson Foulds (RF) supertree problem. We demonstrate that our algorithms (i) can significantly improve upon estimates of existing RF-heuristics, and (ii) can compute exact RF supertrees with up to 17 taxa.