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A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

机译:加权后缀树构建算法的动态方法

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In present time weighted suffix tree is consider as a one of the most important existing data structure used for analyzing molecular weighted sequence. Although a static partitioning based parallel algorithm existed for the construction of weighted suffix tree, but for very long weighted DNA sequences it takes significant amount of time. However, in our implementation of dynamic partition based parallel weighted suffix tree construction algorithm on cluster computing makes it possible to significantly accelerate the construction of weighted suffix tree.
机译:目前,加权后缀树被认为是用于分析分子量序列的最重要的现有数据结构之一。尽管存在基于静态分区的并行算法来构建加权后缀树,但是对于非常长的加权DNA序列,它需要花费大量时间。但是,在我们的基于动态分区的并行加权后缀树构建算法在集群上的实现中,可以显着加快加权后缀树的构建。

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