重复数据集的混合索引
Hybrid Indexes for Repetitive Datasets
摘要：
DNA测序的进步意味着数千个人类基因组的数据库将很快变得司空见惯。在本文中，我们介绍了一种简单的技术，用于减少这种高度重复的文本的常规索引的大小。给定模式长度和编辑距离的上界，我们用LZ77对文本进行预处理，以获得过滤后的文本，并为其存储常规索引。之后，给定一个查询，我们在过滤后的文本中找到所有匹配项，然后使用它们的位置和LZ77解析的结构在原始文本中找到所有匹配项。我们的实验表明，这也显着减少查询时间。
英文摘要：
Advances in DNA sequencing mean databases of thousands of human genomes will soon be commonplace. In this paper we introduce a simple technique for reducing the size of conventional indexes on such highly repetitive texts. Given upper bounds on pattern lengths and edit distances, we preprocess the text with LZ77 to obtain a filtered text, for which we store a conventional index. Later, given a query, we find all matches in the filtered text, then use their positions and the structure of the LZ77 parse to find all matches in the original text. Our experiments show this also significantly reduces query times.
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