• DocumentCode
    2495985
  • Title

    Identification of CpG islands in DNA sequences using matched filters

  • Author

    Kakumani, Rajasekhar ; Ahmad, M. Omair ; Devabhaktuni, Vijay

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    6029
  • Lastpage
    6032
  • Abstract
    CpG islands (CGIs), rich in CG dinucleotides, are usually located in the promoter regions of genes in DNA sequences and are used as gene markers. Identification of CGIs plays an important role in the analysis of DNA sequences. In this paper, we propose a new digital signal processing (DSP) based approach using matched filters for the identification of CGIs. We also formulate a new/reliable CGI identification characteristic replacing the several existing probability transition tables for CGIs and non-CGIs. The peaks in matched filter output, obtained by correlating the CGI characteristic with the DNA sequence to be analyzed, accurately and reliably identify CGIs. This approach is tested on a number of DNA sequences and is proved to be capable of identifying CpG islands efficiently and reliably.
  • Keywords
    DNA; genetics; matched filters; medical signal processing; molecular biophysics; probability; CpG islands; DNA sequences; digital signal processing; matched filters; probability transition tables; Computational modeling; DNA; Digital signal processing; IIR filters; Low pass filters; Markov processes; Matched filters; Algorithms; Base Sequence; CpG Islands; DNA; Molecular Sequence Data; Sequence Analysis, DNA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091490
  • Filename
    6091490