• DocumentCode
    188215
  • Title

    The Key Algorithms of Promoter Data Parallel Processing Based on OpenMP

  • Author

    Yan Shi ; Jun Lu ; Xinyi Shi ; Jinliang Zheng ; Jun Li

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    154
  • Lastpage
    157
  • Abstract
    The key algorithm of parallel technology based on OpenMP is advanced to dispose the promoter data. The promoter data are intercepted from the upstream area of five plants sequences. The five plants contain Arabidopsis Thaliana, Soybean, Alfalfa, Rice and Beans. The processing includes disturbing the sequences in random, calculating the P value, selecting the significant motifs from the frequent motifs, labeling the sequence number and so on. The serial algorithm and the parallel algorithm are compared in the implementation procedure. The experimental result shows that the OpenMP parallel technology can effectively improve the efficiency of the promoter data analysis and processing. It is a realistic significance to the vast amounts of biological information data processing.
  • Keywords
    biology computing; data analysis; horticulture; parallel algorithms; Alfalfa; Arabidopsis Thaliana; OpenMP parallel technology; beans; biological information data processing; parallel algorithm; plant sequence; promoter data analysis; promoter data parallel processing; rice; serial algorithm; soybean; Algorithm design and analysis; Distributed databases; Gene expression; Instruction sets; Labeling; Parallel algorithms; biological information; gene; openmp; promoter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-6235-8
  • Type

    conf

  • DOI
    10.1109/CyberC.2014.35
  • Filename
    6984298