ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2021
A novel optimal multi-pattern matching method with wildcards for DNA sequence.
Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundDNA sequence alignment is one of the most fundamental and important operation to identify which gene family may contain this sequence, pattern matching for DNA sequence has been a fundamental issue in biomedical engineering, biotechnology and health informatics.
objectiveTo solve this problem, this study proposes an optimal multi pattern matching with wildcards for DNA sequence.
methodsThis proposed method packs the patterns and a sliding window of texts, and the window slides along the given packed text, matching against stored packed patterns.
resultsThree data sets are used to test the performance of the proposed algorithm, and the algorithm was seen to be more efficient than the competitors because its operation is close to machine language.
conclusionsTheoretical analysis and experimental results both demonstrate that the proposed method outperforms the state-of-the-art methods and is especially effective for the DNA sequence.
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