Sciweavers

150 search results - page 13 / 30
» Parallel Generation of Pseudo-Random Sequences
Sort
View
BMCBI
2007
152views more  BMCBI 2007»
13 years 11 months ago
Recodon: Coalescent simulation of coding DNA sequences with recombination, migration and demography
Background: Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulation...
Miguel Arenas, David Posada
BMCBI
2010
142views more  BMCBI 2010»
13 years 11 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 5 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 4 months ago
Generalized benchmark generation for dynamic combinatorial problems
Several general purpose benchmark generators are now available in the literature. They are convenient tools in dynamic continuous optimization as they can produce test instances w...
Abdulnasser Younes, Paul H. Calamai, Otman A. Basi...
DATE
2006
IEEE
101views Hardware» more  DATE 2006»
14 years 4 months ago
A parallel configuration model for reducing the run-time reconfiguration overhead
Multitasking on reconfigurable logic can achieve very high silicon reusability. However, configuration latency is a major limitation and it can largely degrade the system performa...
Yang Qu, Juha-Pekka Soininen, Jari Nurmi