• DocumentCode
    2856289
  • Title

    Algorithms and Design for an Autonomous Biological System

  • Author

    Roy, Swapnoneel ; Thakur, Ashok Kumar ; Pande, Anupama ; Rahman, Minhazur

  • Author_Institution
    IBM India Pvt. Ltd, New Delhi
  • fYear
    2007
  • fDate
    19-25 June 2007
  • Firstpage
    35
  • Lastpage
    35
  • Abstract
    Various global rearrangements of permutations, such as reversals and transpositions, have recently become of interest because of their applications in computational molecular biology, to be more specific, genome rearrangement. Many primitives have been formulated in this regard. These primitives find their applications hugely in the study of the similarity of different organisms. In this paper, we formulate a new primitive for genome rearrangement, the strip exchanges. An approximation algorithm for the strip exchanges problem with an approximation guarantee of 2.66 has been designed. We present this algorithm along with its mathematical analysis. We propose the design of an autonomous biological system which detects the similarity of different species by matching their genomes. We use the primitive strip exchanges to match two genomes in our system. A comparison of the other existing primitives with strip exchanges has been given. Various other pragmatic applications of such a system have also been touched upon.
  • Keywords
    approximation theory; biology computing; genetics; molecular biophysics; pattern matching; approximation algorithm; autonomous biological system design; computational molecular biology; genome matching; mathematical analysis; strip exchange genome rearrangement; Algorithm design and analysis; Approximation algorithms; Bioinformatics; Biological systems; Biology computing; Computational biology; Computer applications; Genomics; Organisms; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic and Autonomous Systems, 2007. ICAS07. Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-2859-7
  • Electronic_ISBN
    978-0-7695-2859-7
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2007.53
  • Filename
    4437912