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 search; DNA database; Suffix tree; Approximation theory; Binary trees; Database systems; Dynamic programming; Problem solving; Query processing; Approximate subsequence search; Query sequences; Suffix trees; DNA sequences
제목
A practical method for approximate subsequence search in DNA databases
저자
Won, Jung Im; Hong, Sang Kyoon; Yoon, Jee Hee; Park, Sanghyun; Kim, Sang Wook
DOI
10.1007/978-3-540-71701-0_103
발행일
2007-05
유형
Conference Paper
저널명
Lecture Notes in Computer Science
권
4426 LNAI
페이지
921 ~ 931