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- W1490635997 abstract "We have observed in recent years a growing interest in similarity search on large collections of biological sequences. Contributing to the interest, this paper presents a method for indexing the DNA sequences efficiently based on q-grams to facilitate similarity search in a DNA database and sidestep the need for linear scan of the entire database. Two level index – hash table and c-trees – are proposed based on the q-grams of DNA sequences. The proposed data structures allow the quick detection of sequences within a certain distance to the query sequence. Experimental results show that our method is efficient in detecting similarity regions in a DNA sequence database with high sensitivity." @default.
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- W1490635997 date "2005-01-01" @default.
- W1490635997 modified "2023-10-18" @default.
- W1490635997 title "Indexing DNA Sequences Using q-Grams" @default.
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- W1490635997 doi "https://doi.org/10.1007/11408079_4" @default.
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