• DocumentCode
    3542663
  • Title

    A sequential Monte Carlo base-calling method for next-generation dna sequencing

  • Author

    Shen, Xiaohu ; Vikalo, Haris

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2011
  • fDate
    4-6 Dec. 2011
  • Firstpage
    121
  • Lastpage
    122
  • Abstract
    Recent development of next-generation sequencing platforms has dramatically increased the efficiency of obtaining genomic data. Their accuracy, reliability, and achievable read-lengths, however, often lag behind those of the conventional Sanger sequencing method. In this paper, we consider the Illumina sequencing platform and propose a novel DNA base-calling algorithm based on the sequential Monte Carlo method. It is demonstrated on experimental data that the developed algorithm is much faster than the best performing base-calling method currently available, while achieving similar accuracy.
  • Keywords
    DNA; Monte Carlo methods; biology; data handling; Illumina sequencing platform; Sanger sequencing method; experimental data; genomic data; next-generation DNA sequencing; sequential Monte Carlo base-calling method; Bioinformatics; DNA; Error analysis; Hidden Markov models; Monte Carlo methods; Next generation networking; Signal processing algorithms; base-calling; next-generation DNA sequencing; sequential Monte Carlo algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
  • Conference_Location
    San Antonio, TX
  • ISSN
    2150-3001
  • Print_ISBN
    978-1-4673-0491-7
  • Electronic_ISBN
    2150-3001
  • Type

    conf

  • DOI
    10.1109/GENSiPS.2011.6169459
  • Filename
    6169459