An interesting and important, but largely ignored question associated with the ML method is whether there exists only a single maximum likelihood point for a given phylogenetic tr...
Driven by novel biological wet lab techniques such as pyrosequencing there has been an unprecedented molecular data explosion over the last 2-3 years. The growth of biological seq...
Computational phylogeny is a challenging application even for the most powerful supercomputers. It is also an ideal candidate for benchmarking emerging multiprocessor architecture...
Filip Blagojevic, Alexandros Stamatakis, Christos ...
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Inference of phylogenetic trees using the maximum likelihood (ML) method is NP-hard. Furthermore, the computation of the likelihood function for huge trees of more than 1,000 orga...