• DocumentCode
    2073836
  • Title

    Compressing biological sequences using self adjusting data structures

  • Author

    Antoniou, Dimitris ; Theodoridis, Evangelos ; Tsakalidis, Athanasios

  • Author_Institution
    Comput. Eng. & Inf. Dept., Univ. of Patras Greece, Patras, Greece
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we investigate experimentally the exploitation of self adjusting data structures for compressing biological sequences. We have evaluated the practical performance of splay tree alternates in comparison with the original version of splay trees. In this investigation, we utilize plain splay trees, a log log n-competitive variation, and a randomized version of splay trees. It is experimentally observed that the compression achieved in the case of the log log n-competitive technique is, as expected, more efficient than the one of the plain splay trees.
  • Keywords
    DNA; biology computing; molecular biophysics; molecular configurations; trees (mathematics); DNA sequences; biological sequence compression; log log n-competitive variation; plain splay trees; self adjusting data structures; splay tree randomized version; Bioinformatics; Biological information theory; Genomics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4244-6559-0
  • Type

    conf

  • DOI
    10.1109/ITAB.2010.5687689
  • Filename
    5687689