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BMCBI
2008
211views more  BMCBI 2008»
13 years 5 months ago
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
Background: Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more t...
Svetlin Manavski, Giorgio Valle
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
13 years 11 months ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uniï...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
13 years 11 months ago
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
—This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
BMCBI
2011
12 years 8 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
BMCBI
2007
233views more  BMCBI 2007»
13 years 5 months ago
160-fold acceleration of the Smith-Waterman algorithm using a field programmable gate array (FPGA)
Background: To infer homology and subsequently gene function, the Smith-Waterman (SW) algorithm is used to find the optimal local alignment between two sequences. When searching s...
Isaac T. S. Li, Warren Shum, Kevin Truong