• DocumentCode
    1930924
  • Title

    An MCMC algorithm for base calling in sequencing-by-synthesis

  • Author

    Wu, Ting ; Vikalo, Haris ; Shamaiah, Manohar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1017
  • Lastpage
    1020
  • Abstract
    Sequencing-by-synthesis is a novel technology which enables fast and affordable DNA sequencing. However, its accuracy is insufficient for most medical applications. The performance of sequencing-by-synthesis is fundamentally limited by imperfections in the underlying enzymatic process. We derive a mathematical model of sequencing-by-synthesis and develop a novel base calling method that relies on Markov Chain Monte Carlo technique. Simulation and experimental results demonstrate superior performance of the proposed method over the state-of-the-art base-calling techniques.
  • Keywords
    DNA; Markov processes; Monte Carlo methods; biological techniques; enzymes; mathematical analysis; molecular biophysics; DNA sequencing; MCMC algorithm; Markov Chain Monte Carlo method; enzymatic process; mathematical model; sequencing-by-synthesis; state-of-the-art base-calling method; Bioinformatics; DNA; Genomics; Humans; Markov processes; Mathematical model; Monte Carlo methods; Markov Chain Monte Carlo; base calling; next generation DNA sequencing;
  • 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.2011.6190165
  • Filename
    6190165