A machine learning approach for accurate and real-time DNA sequence identification.

Journal: BMC genomics
Published Date:

Abstract

BACKGROUND: The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging alternative to traditional polymerase chain reaction (PCR) techniques for genetic sequencing and identification. Existing work indicates that the current spectra recorded from SMBJ experimentations contain unique signatures to identify known sequences from a dataset. However, the spectra are typically extremely noisy due to the stochastic and complex interactions between the substrate, sample, environment, and the measuring system, necessitating hundreds or thousands of experimentations to obtain reliable and accurate results.

Authors

  • Yiren Wang
    Department of Electrical and Computer Engineering, University of Washington, 98195, Seattle, WA, USA. ethanwyr@uw.edu.
  • Mashari Alangari
    Electrical and Computer Engineering Department, University of California Davis, 95616, Davis, CA, USA.
  • Joshua Hihath
    Electrical and Computer Engineering Department, University of California Davis, 95616, Davis, CA, USA.
  • Arindam K Das
    Department of Electrical Engineering, Eastern Washington University, 99004, Cheney, WA, USA.
  • M P Anantram
    Department of Electrical and Computer Engineering, University of Washington, 98195, Seattle, WA, USA. anantmp@uw.edu.