• DocumentCode
    2047694
  • Title

    The Analysis on the Signals Denoising and Single Base Pair Resolution of DNA Sequencing

  • Author

    Zheng, Hua ; Shi, Yan ; Wang, Jie ; Wang, Liqiang ; Lu, Zukang

  • Author_Institution
    Nat. Eng. & Technol. Res. Center for Opt. Instrum., Zhejiang Univ., Hangzhou
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    118
  • Lastpage
    121
  • Abstract
    Capillary electrophoresis - Laser Induced fluorescence (CE - LIF) signals in DNA sequencing analysis are often contaminated by random noise, which has negative influence on the accuracy and detection limit of analysis. Wavelet analysis is a powerful tool for signal denoising comparing with other conventional denoising methods, but it needs more processing time in computer. Especially in some real-time embedded analysis system, it may increase hardware investment. Conventional denoising method such as Low-Pass filter, it can realize by cheap hardware, but its denoising quality is not very satisfactory. If we proper combined the low-pass and wavelet denoising method, it will enhance the denoising efficiency and lower the system´s cost. In our experiment, a novel method was presented: CE - LIF signals acquired from PMT were preprocessed by Butterworth low-pass filter in hardware circuit and the wavelet denoising was executed in computer. If we properly choose the cut-off frequency and wavelet denoising method, the denoising efficiency was high and the denoising quality was satisfactory. The denoising experiment results indicate that our denoising method can enhance the signal-to-noise ratio (SNR) and meet the requirement of single base pair resolution in DNA sequencing.
  • Keywords
    DNA; biology computing; discrete wavelet transforms; electrophoresis; molecular biophysics; signal denoising; Butterworth low-pass filter; DNA sequencing; capillary electrophoresis-laser induced fluorescence; denoising efficiency; denoising quality; hardware circuit; signal-to-noise ratio; single base pair resolution; wavelet signal denoising analysis; DNA; Electrokinetics; Fluorescence; Hardware; Laser noise; Low pass filters; Noise reduction; Signal analysis; Signal denoising; Signal resolution; DNA sequencing; Fluorescence Signal; denoising; filter; resolution; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biophotonics, Nanophotonics and Metamaterials, 2006. Metamaterials 2006. International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    0-7803-9773-8
  • Electronic_ISBN
    0-7803-9774-6
  • Type

    conf

  • DOI
    10.1109/METAMAT.2006.335012
  • Filename
    4134751