DocumentCode :
2467994
Title :
ABS: Sequence alignment by scanning
Author :
Bonny, Talal ; Salama, Khaled N.
Author_Institution :
Electrical Engineering Program, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
928
Lastpage :
931
Abstract :
Sequence alignment is an essential tool in almost any computational biology research. It processes large database sequences and considered to be high consumers of computation time. Heuristic algorithms are used to get approximate but fast results. 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 well-known alignment algorithms, the ‘FASTA’ (which is heuristic) and the ‘Needleman-Wunsch’ (which is optimal). The proposed algorithm achieves up to 76% enhancement in alignment score when it is compared with the FASTA Algorithm. The evaluations are conducted using different lengths of DNA sequences.
Keywords :
Approximation algorithms; Bioinformatics; Complexity theory; DNA; Databases; Heuristic algorithms; Memory management; Algorithms; Base Sequence; DNA; Molecular Sequence Data; Pattern Recognition, Automated; Sequence Alignment; Sequence Analysis, DNA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090209
Filename :
6090209
Link To Document :
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