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A Storage-Efficient Suffix Tree Construction Algorithm for Human Genome Sequences

机译:一种用于人基因组序列的储存高效后缀树施工算法

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The suffix tree is one of most widely adopted indexes in the application of genome sequence alignment. Although it supports very fast alignment, it has a couple of shortcomings, such as a very long construction time and a very large volume size. Loh et al. [7] proposed a suffix tree construction algorithm with dramatically improved performance; however, the size still remains as a challenging problem. We propose an algorithm by extending the one by Loh et al. to reduce the suffix tree size. As a result of our experiments, our algorithm constructed a suffix tree of approximately 60% of the size within almost the same time period.
机译:后缀树是应用基因组序列对准中最广泛采用的指标之一。虽然它支持非常快速的对齐,但它有几个缺点,例如很长的施工时间和非常大的体积尺寸。 loh等人。 [7]提出了一种显着提高性能的后缀树施工算法;然而,大小仍然是一个具有挑战性的问题。我们通过LOH等人延伸了一个算法。减少后缀树大小。由于我们的实验,我们的算法在几乎同一时间段内构建了大约60%的后缀树。

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