• 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