• DocumentCode
    2970011
  • Title

    Hardware acceleration of sequence alignment algorithms-an overview

  • Author

    Hasan, Laiq ; Al-Ars, Zaid ; Vassiliadis, Stamatis

  • Author_Institution
    Delft Univ. of Technol., Delft
  • fYear
    2007
  • fDate
    2-5 Sept. 2007
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    Sequence alignment is one of the most important activities in bioinformatics. With the ever increasing volume of data in bioinformatics databases, the time for comparing a query sequence with the available databases is always increasing. Many algorithms have been proposed to perform and accelerate sequence alignment activities. This paper introduces a taxonomy of the various sequence alignment algorithms found in the literature, with particular emphasis on the Smith-Waterman (S-W) algorithm. The paper also provides a classification of the available hardware acceleration methods used to speed up the S-W algorithm.
  • Keywords
    biology computing; database management systems; query processing; sequences; Smith-Waterman algorithm; bioinformatics databases; hardware acceleration; query sequence; sequence alignment algorithms; taxonomy; Acceleration; Bioinformatics; Biology computing; Databases; Dynamic programming; Genomics; Hardware; Laboratories; Proteins; Sequences; Bioinformatics; Dynamic Programming; Hardware Acceleration; Sequence Alignment; Smith-Waterman Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design & Technology of Integrated Systems in Nanoscale Era, 2007. DTIS. International Conference on
  • Conference_Location
    Rabat
  • Print_ISBN
    978-1-4244-1277-8
  • Electronic_ISBN
    978-1-4244-1278-5
  • Type

    conf

  • DOI
    10.1109/DTIS.2007.4449499
  • Filename
    4449499