• DocumentCode
    3474207
  • Title

    A New Bucket-Based A New Bucket-Based Algorithm for Finding LCS from two given Molecular Sequences

  • Author

    Rizvi, S.A.M. ; Agarwal, Pankaj

  • Author_Institution
    Dept. of Comput. Sci., Jamia Millia Islamia Univ., New Delhi
  • fYear
    2006
  • fDate
    10-12 April 2006
  • Firstpage
    560
  • Lastpage
    561
  • Abstract
    This paper presents a new algorithm for finding longest common subsequence from two given sequences of DNA, proteins etc. of interest. Given algorithm is quite effective as far as time complexity is concerned. Our method compares the given database sequence of DNA representing the entire/partial genetic structure of some organism (such sequences are very long), which is assumed to be stored in the database only once with a given query sequence
  • Keywords
    biocomputing; computational complexity; genetics; proteins; query processing; DNA sequence; bucket-based algorithm; database sequence; entire organism genetic structure; longest common subsequence; molecular sequences; partial organism genetic structure; protein sequence; query sequence; time complexity; Computer science; DNA; Genetics; Indexes; Length measurement; Organisms; Proteins; Queueing analysis; Sequences; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-2497-4
  • Type

    conf

  • DOI
    10.1109/ITNG.2006.12
  • Filename
    1611652