• 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