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- W1569010385 abstract "In this chapter, the authors are interested in pairwise alignment. They present pairwise alignment algorithms using graphics processor units (GPUs). They present the two types of pairwise alignment algorithms: pairwise global alignment algorithms and pairwise local alignment ones. The chapter provides an overview of GPUs. Here, they mainly focus on accelerating the Smith-Waterman (SW) algorithm using GPUs. With the new sequencing technologies, the number of biological sequences in databases is increasing exponentially. Besides, the size of most of these sequences is large. Since the comparison of a query sequence to the sequences of a biological database can mainly be made via pairwise alignment algorithms, accelerating such algorithms becomes a necessity. Graphics processor units are a hardware solution to achieve this task. They enabled to accelerate a number of pairwise alignment algorithms, such as the Smith-Waterman. A number of efforts are in progress to make GPUs even faster." @default.
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- W1569010385 date "2013-12-16" @default.
- W1569010385 modified "2023-10-11" @default.
- W1569010385 title "Accelerating Pairwise Alignment Algorithms by Using Graphics Processor Units" @default.
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- W1569010385 doi "https://doi.org/10.1002/9781118617151.ch42" @default.
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