• DocumentCode
    2019193
  • Title

    Automation of DNA Computing Readout Method Implemented on LightCycler System

  • Author

    Saaid, Muhammad Faiz Mohamed ; Ibrahim, Zuwairie ; Khalid, Marzuki ; Sarmin, Nor Haniza

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai
  • fYear
    2009
  • fDate
    25-29 May 2009
  • Firstpage
    252
  • Lastpage
    257
  • Abstract
    In this paper, an automation of DNA computing readout method based on real-time polymerase chan reaction (PCR) is developed, which employs a hybrid in vitro-in silico approach. In the in vitro phase, TaqMan-based real-time PCR reactions are performed in parallel, to investigate the ordering of pairs of nodes in the Hamiltonian path problem (HPP), in terms of relative distance from the DNA sequence encoding the known start node. The real-time PCR experiment is implemented on LightCycler system. Fuzzy C-means (FCM) clustering algorithm is used to identify automatically two different reactions in real-time PCR, followed by in silico algorithm, which in turn, enables extraction of the Hamiltonian path. A software called SILICOLIGHT is built to implement the FCM clustering and the in silico algorithm, which return the desired Hamiltonian path.
  • Keywords
    biology computing; fuzzy set theory; pattern clustering; DNA computing readout method; DNA sequence; Hamiltonian path problem; LightCycler system; SILICOLIGHT; TaqMan-based real-time PCR reactions; fuzzy C-means clustering algorithm; hybrid in vitro-in silico approach; real-time polymerase chan reaction; Clustering algorithms; DNA computing; Fluorescence; In vitro; Instruments; Polymers; Probes; Real time systems; Robotics and automation; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-4154-9
  • Electronic_ISBN
    978-0-7695-3648-4
  • Type

    conf

  • DOI
    10.1109/AMS.2009.80
  • Filename
    5071992