Sciweavers

32 search results - page 3 / 7
» A fast algorithm for determining the best combination of loc...
Sort
View
BMCBI
2011
12 years 9 months ago
Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation
Background: The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest ap...
Torbjørn Rognes
NLPRS
2001
Springer
13 years 9 months ago
Hierarchical Phrase Alignment Harmonized with Parsing
In this paper, we propose a hierarchical phrase alignment method that aims to acquire translation knowledge. Previous methods utilize the correspondence of sub-trees between bilin...
Kenji Imamura
BMCBI
2005
107views more  BMCBI 2005»
13 years 5 months ago
Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
Jiren Wang, Wing-Kin Sung, Arun Krishnan, Kuo-Bin ...
BMCBI
2011
12 years 9 months ago
Efficient alignment of pyrosequencing reads for re-sequencing applications
Background: Over the past few years, new massively parallel DNA sequencing technologies have emerged. These platforms generate massive amounts of data per run, greatly reducing th...
Francisco Fernandes, Paulo G. S. da Fonseca, Lu&ia...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
13 years 11 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