• DocumentCode
    1686492
  • Title

    Parallel implementation of genomic sequences classification using modified Gabor wavelet transform on multicore systems

  • Author

    Gunawan, Teddy Surya ; Ambikairajah, Eliathamby

  • Author_Institution
    Electr. & Comput. Eng. Dept., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2012
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    High processing time is required to classify genomic sequences and to identify protein coding of a DNA sequence. While computer performance has been driven largely by decreasing the size of chips while increasing the number of transistors they contain, the current computing trend is multicore system in which two or more independent cores are integrated into a single package. This paper presents the parallel implementation of the gene and exon identification of DNA sequences using the previously developed modified Gabor wavelet transform on multicore systems. Single Program Multiple Data (SPMD) parallel paradigm will be used in the parallel implementation. Furthermore, the efficiency of the proposed algorithm will be analyzed using Amdahl´s law.
  • Keywords
    DNA; biological techniques; biology computing; genetics; molecular biophysics; molecular configurations; multiprocessing systems; parallel processing; wavelet transforms; Amdahl law; DNA sequence exon identification; DNA sequence gene identification; DNA sequence protein coding identification; SPMD parallel paradigm; computer performance; genomic sequences classification parallel implementation; modified Gabor wavelet transform; multicore systems; single program multiple data parallel paradigm; Bioinformatics; DNA; Encoding; Genomics; Multicore processing; Proteins; Transforms; Amdahl´s law; SPMD; gene prediction; genomic signal processing; multicore system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICoBE), 2012 International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4577-1990-5
  • Type

    conf

  • DOI
    10.1109/ICoBE.2012.6178998
  • Filename
    6178998