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Accelerating the Smith-Waterman algorithm with interpair pruning and band optimization for the all-pairs comparison of base sequences

机译:通过对间修剪和带优化来加速Smith-Waterman算法以对碱基序列​​进行全对比较

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摘要

BackgroundThe Smith-Waterman algorithm is known to be a more sensitive approach than heuristic algorithms for local sequence alignment algorithms. Despite its sensitivity, a greater time complexity associated with the Smith-Waterman algorithm prevents its application to the all-pairs comparisons of base sequences, which aids in the construction of accurate phylogenetic trees. The aim of this study is to achieve greater acceleration using the Smith-Waterman algorithm (by realizing interpair block pruning and band optimization) compared with that achieved using a previous method that performs intrapair block pruning on graphics processing units (GPUs).
机译:背景技术对于局部序列比对算法,史密斯-沃特曼算法比启发式算法更为灵敏。尽管它具有灵敏度,但与Smith-Waterman算法相关的时间复杂度较高,阻止了其在碱基序列的所有对比较中的应用,这有助于构建准确的系统树。这项研究的目的是,与使用在图形处理单元(GPU)上执行对内块修剪的先前方法相比,使用Smith-Waterman算法(通过实现对间块修剪和频带优化)实现更大的加速。

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