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