因此，本文将后缀树算法应用到元搜索引擎中，设计了一个带聚类的元搜索引擎系统。
Therefore, this article applies suffix tree algorithm to the meta search engines, and designs a meta search engine systems with a clustering algorithm.
本文主要对适用于生物序列数据上的后缀树索引技术和生物信息学中的多序列比对算法进行了分析和研究。
This thesis mainly focuses on the study of suffix tree index technical dealing with bio-sequences and multiple sequences alignment problem in bioinformatics.
在分析了后缀树和后缀数组字符串匹配算法的基础上，详细阐述了基于后缀数组的精确串联重复序列识别方法。
It addresses the method of identifying the accurate tandem repeat in detail after analyzing suffix tree and suffix array algorithms of string matching.
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