• DocumentCode
    3452871
  • Title

    A method to find unique sequences on distributed genomic databases

  • Author

    Kurata, K. ; Breton, Vincent

  • Author_Institution
    Lab. de Mathematiques Appliquees aux Systemes, Ecole Centrale de Paris, Chatenay-Malabry, France
  • fYear
    2003
  • fDate
    12-15 May 2003
  • Firstpage
    62
  • Lastpage
    69
  • Abstract
    Thanks to the development of genetic engineering, various kinds of genomic information are being unveiled. Hence, it becomes feasible to analyze the entire genomic information all at once. On the other hand, the quantity of the genomic information stocked on databases is increasing day after day. In order to process the whole information, we have to develop an effective method to deal with lots of data. Therefore, it is indispensable not only to make an effective and rapid algorithm but also to use high-speed computer resource so as to analyze the biological information. For this purpose, as one of the most promised computing environments, the grid computing architecture has appeared recently. The European Data Grid (EDG) is one of the data-oriented grid computing environments [11]. In the field of bioinformatics, it is important to find unique sequences to succeed in molecular biological experiments [6]. Once unique sequences have been found they can be useful for target specific probes/primers design, gene sequence comparison and so on. In this paper, we propose a method to discover unique sequences from among genomic databases located in a distributed environment. Next, we implement this method upon the European Data Grid and show the calculation results for E. coli genomes.
  • Keywords
    distributed databases; genetic engineering; grid computing; medical computing; E. coli genome; bioinformatics; biological information analysis; distributed genomic database; genetic engineering; genomic sequence; grid computing; Algorithm design and analysis; Bioinformatics; Biology computing; Computer architecture; Distributed databases; Genetic engineering; Genomics; Grid computing; Information analysis; Probes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on
  • Print_ISBN
    0-7695-1919-9
  • Type

    conf

  • DOI
    10.1109/CCGRID.2003.1199353
  • Filename
    1199353