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Advances in Intelligent and Soft Computing
Phylogenetic reconstruction is one of the fundamental problems in computational biology. The combinatorial explosion of the state space and the complexity of mathematical models impose practical limits on workable problem sizes. In this article we explore the scalability of popular algorithms under real datasets as problem dimensions grow. We furthermore develop an efficient preclassification and partitioning strategy based on guide trees, which are used to intently define an evolutionarydoi:10.1007/978-3-642-13214-8_16 dblp:conf/isami/BlancoMMMA10 fatcat:atkuqzli6jgdxgw4tpdxwmmlwu