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Efficient Search of Position Weight Matrices with a Truncated Suffix Tree

机译:截断后缀树的位置权重矩阵的有效搜索

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摘要

The Position Weight Matrix (PWM) is a widely used model of choice for several kind of biological signals in both DNA and protein contexts. Recently, several algorithms have been proposed to speed up the time required by the basic operation of matching a matrix with a sequence. In this paper we present TruSTsearch, an offline algorithm based on the truncated suffix trees data structure. We provide experimental comparison between our algorithm and the best known offline algorithm PoSSuMsearch, based on enhanced suffix array, showing that, thanks to the specifically designed TruSTcoding, our solution requires less space, and allows better performances.
机译:位置权重矩阵(PWM)是DNA和蛋白质环境中多种生物信号的广泛选择模型。最近,已经提出了几种算法来加快将矩阵与序列匹配的基本操作所需的时间。在本文中,我们介绍了TruSTsearch,这是一种基于截尾后缀树数据结构的离线算法。我们基于增强的后缀数组提供了我们的算法与最著名的脱机算法PoSSuMsearch之间的实验比较,结果表明,由于采用了专门设计的TruSTcoding,我们的解决方案需要更少的空间,并可以提供更好的性能。

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