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 :
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