DocumentCode
1931109
Title
Fast global sequence alignment technique
Author
Bonny, Talal ; Salama, Khaled N.
Author_Institution
Electr. Eng. Program, King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
fYear
2011
fDate
6-9 Nov. 2011
Firstpage
1046
Lastpage
1049
Abstract
Bioinformatics database is growing exponentially in size. Processing these large amount of data may take hours of time even if super computers are used. One of the most important processing tool in Bioinformatics is sequence alignment. We introduce fast alignment algorithm, called `Alignment By Scanning´ (ABS), to provide an approximate alignment of two DNA sequences. We compare our algorithm with the wellknown sequence alignment algorithms, the `GAP´ (which is heuristic) and the `Needleman-Wunsch´ (which is optimal). The proposed algorithm achieves up to 51% enhancement in alignment score when it is compared with the GAP Algorithm. The evaluations are conducted using different lengths of DNA sequences.
Keywords
bioinformatics; database management systems; ABS; DNA sequences; alignment by scanning; bioinformatics database; fast alignment algorithm; fast global sequence alignment technique; super computers; Approximation algorithms; Bioinformatics; DNA; Databases; Genomics; Graphics processing unit; Heuristic algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4673-0321-7
Type
conf
DOI
10.1109/ACSSC.2011.6190171
Filename
6190171
Link To Document