A practical method for approximate subsequence search in DNA databases

Citations

SCOPUS

2

초록

In this paper, we propose an accurate and efficient method for approximate subsequence search in large DNA databases. The proposed method basically adopts a binary trie as its primary structure and stores all the window subsequences extracted from a DNA sequence. For approximate subsequence search, it traverses the binary trie in a breadth-first fashion and retrieves all the matched subsequences from the traversed path within the trie by a dynamic programming technique. However, the proposed method stores only window subsequences of the pre-determined length, and thus suffers from large post-processing time in case of long query sequences. To overcome this problem, we divide a query sequence into shorter pieces, perform searching for those subsequences, and then merge their results.

키워드

Approximate subsequence searchDNA databaseSuffix treeApproximation theoryBinary treesDatabase systemsDynamic programmingProblem solvingQuery processingApproximate subsequence searchQuery sequencesSuffix treesDNA sequences
제목
A practical method for approximate subsequence search in DNA databases
저자
Won, Jung ImHong, Sang KyoonYoon, Jee HeePark, SanghyunKim, Sang Wook
DOI
10.1007/978-3-540-71701-0_103
발행일
2007-05
유형
Conference Paper
저널명
Lecture Notes in Computer Science
4426 LNAI
페이지
921 ~ 931