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BIBE
2006
IEEE
135views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
Evidence of Multiple Maximum Likelihood Points for a Phylogenetic Tree
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...
Bing Bing Zhou, Monther Tarawneh, Pinghao Wang, Da...
IPPS
2009
IEEE
13 years 11 months ago
Exploring FPGAs for accelerating the phylogenetic likelihood function
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...
Nikolaos Alachiotis, Euripides Sotiriades, Apostol...
IPPS
2007
IEEE
13 years 11 months ago
RAxML-Cell: Parallel Phylogenetic Tree Inference on the Cell Broadband Engine
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 ...
JACM
2006
99views more  JACM 2006»
13 years 4 months ago
Finding a maximum likelihood tree is hard
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...
Benny Chor, Tamir Tuller
IPPS
2006
IEEE
13 years 11 months ago
Phylogenetic models of rate heterogeneity: a high performance computing perspective
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...
Alexandros Stamatakis