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Invited Lecture - Accelerating Smith-Waterman Searches

机译:邀请讲座 - 加速史密斯 - 水工搜索

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Searching a database for a local alignment to a query under a typical scoring scheme such as PAM120 or BLOSUM62, is a computation that has resisted algorithmic improvement due to its basis in dynamic programming and the weak nature of the signals being searched for. In a query preprocessing step, a set of tables can be built that permit one to (a) eliminate a large fraction of the dynamic programming matrix from consideration, and (b) to compute several steps of the remainder with a single table lookup. While this result is not an asymptotic improvement over the original Smith-Waterman algorithm, its complexity is characterized in terms of some sparse features of the matrix and it does yields 3.33 factor improvement over the basic algorithm in practice.
机译:在诸如PAM120或Blosum62的典型评分方案下搜索局部对准的数据库是由于其在动态编程中的基础和被搜索的信号的弱本质而具有抵抗算法改进的计算。在查询预处理步骤中,可以构建一组表,该表可以允许一个到(a)从考虑中消除大部分动态编程矩阵,并且(b)以用单个表查找计算剩余部分的若干步骤。虽然该结果不是原始史密斯 - 水专家算法上的渐近改善,但其复杂性的特征在于矩阵的一些稀疏特征,并且它在实践中对基本算法产生了3.33因素。

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