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    Fast global sequence alignment technique

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    Type
    Conference Paper
    Authors
    Bonny, Mohamed Talal
    Salama, Khaled N. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Sensors Lab
    Date
    2011-11
    Permanent link to this record
    http://hdl.handle.net/10754/564456
    
    Metadata
    Show full item record
    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. © 2011 IEEE.
    Citation
    Bonny, T., & Salama, K. N. (2011). Fast global sequence alignment technique. 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR). doi:10.1109/acssc.2011.6190171
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
    Conference/Event name
    45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
    ISBN
    9781467303231
    DOI
    10.1109/ACSSC.2011.6190171
    ae974a485f413a2113503eed53cd6c53
    10.1109/ACSSC.2011.6190171
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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