• DocumentCode
    2097366
  • Title

    A Bioinformatic Approach to Genetic Diversity

  • Author

    Grewal, H.K. ; Sandhu, P.S. ; Singh, Manpreet

  • Author_Institution
    Dept. of CSE & I.T., Guru Nanak Dev. Eng. Coll., Punjab
  • fYear
    2006
  • fDate
    13-14 Nov. 2006
  • Firstpage
    761
  • Lastpage
    764
  • Abstract
    This paper deals with the various search and analysis techniques involving different possible pairs of varieties selected on the basis of morphological characters, climatic conditions and nutrients so as to obtain the optimal pair that can produce the required crossbreed variety. An algorithm has been developed to determine the genetic diversity between the selected wheat varieties. Data mining techniques have been used for retrieving the results. Dummy values have been assumed wherever actual data was not available. MATLAB has been deployed to demonstrate the results in a better visual perspective
  • Keywords
    biology computing; biotechnology; data mining; genetics; mathematics computing; MATLAB; bioinformatic approach; climatic conditions; crossbreed variety; data mining; genetic diversity; nutrients; wheat varieties; Bioinformatics; Biological system modeling; Biology; Biotechnology; Data mining; Databases; Educational institutions; Genetics; Information retrieval; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2006. ICET '06. International Conference on
  • Conference_Location
    Peshawar
  • Print_ISBN
    1-4244-0502-5
  • Electronic_ISBN
    1-4244-0503-3
  • Type

    conf

  • DOI
    10.1109/ICET.2006.335940
  • Filename
    4136908