• DocumentCode
    260650
  • Title

    BioSecure-cloud ancestry detector: Persuading species analysis and ancestral detector based on solitary score

  • Author

    Prasath, T. ; Rubadevi, B.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Arunai Eng. Coll., Thiruvannamalai, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Bioinformatics is generally mean to technically prove that the information is analyzed to detect the species identification and other organizing of the biological data. Here in this paper new methods are deployed to cloud environment to specifically resolve the issues of species identification and animal ancestral details. The given samples of DNA fed to the application so as to find the which ancestry details matches to related to the biological information and provides the proper specification details. This finally provides the range of matching sequence to detect the species which it belongs to. This such tool is used to store and retrieve the sample DNA sequence for analyzing the breeding schemes to provide the easier form of application suites for the researchers of species analysis and physicians so as to provide the way that they can easily facilitate with the guidelines. The security enrichment is done via the monitoring service with basic level protection mechanism is enveloped.
  • Keywords
    DNA; bioinformatics; cloud computing; pattern matching; BioSecure-cloud ancestry detector; DNA sequence; ancestral detector; animal ancestral details; biological data; biological information; cloud environment; sequence matching; solitary score; species analysis; species identification; Animals; Bioinformatics; Cloud computing; DNA; Databases; Educational institutions; Servers; Bioinfomatics; Cloud Storage; DNA Analysis; PCR; Pedigree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7033750
  • Filename
    7033750