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SW#-GPU-enabled exact alignments on genome scale.


ABSTRACT: SUMMARY: We propose SW#, a new CUDA graphical processor unit-enabled and memory-efficient implementation of dynamic programming algorithm, for local alignment. It can be used as either a stand-alone application or a library. Although there are other graphical processor unit implementations of the Smith-Waterman algorithm, SW# is the only one publicly available that can produce sequence alignments on genome-wide scale. For long sequences, it is at least a few hundred times faster than a CPU version of the same algorithm. AVAILABILITY: Source code and installation instructions freely available for download at http://complex.zesoi.fer.hr/SW.html.

SUBMITTER: Korpar M 

PROVIDER: S-EPMC3777108 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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SW#-GPU-enabled exact alignments on genome scale.

Korpar Matija M   Šikic Mile M  

Bioinformatics (Oxford, England) 20130717 19


<h4>Summary</h4>We propose SW#, a new CUDA graphical processor unit-enabled and memory-efficient implementation of dynamic programming algorithm, for local alignment. It can be used as either a stand-alone application or a library. Although there are other graphical processor unit implementations of the Smith-Waterman algorithm, SW# is the only one publicly available that can produce sequence alignments on genome-wide scale. For long sequences, it is at least a few hundred times faster than a CP  ...[more]

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