Fast Practical Online Exact Single And Multiple Pattern Matching Algorithms In Highly Similar Sequences

INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS(2019)

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摘要
With the advent of high-throughput sequencing technologies there are more and more genomic sequences of individuals of the same species available. These sequences only differ by a very small amount of variations. There is thus a strong need for efficient algorithms for performing fast pattern matching in such specific sets of sequences. In this paper, we propose efficient practical algorithms that solve on-line exact pattern matching problem in a set of highly similar DNA sequences. We first present a method for exact single pattern matching when k variations are allowed in a window which size is equal to the pattern length. We then propose an algorithm for exact multiple pattern matching when only one variation is allowed in a window which size is equal to the length of the longest pattern. Experimental results show that our algorithms, though not optimal in the worst case, have good performances in practice.
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关键词
computational biology, bioinformatics, algorithm design, pattern matching, string matching, DNA sequences, genomic sequences, Landau-Vishkin algorithm, Aho-Corasick algorithm, similar sequences
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