• DocumentCode
    1030096
  • Title

    Engineering in genomics/spl minus/combinatorial methods for DNA physical mapping

  • Author

    Pevzner, P.A.

  • Author_Institution
    Dept. of Comput. Sci., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    13
  • Issue
    1
  • fYear
    1994
  • Firstpage
    146
  • Lastpage
    147
  • Abstract
    To build a physical map biologists use different biochemical techniques to derive indirect information about the map and combinatorial methods to reconstruct the map from these data. Several experimental approaches to DNA physical mapping exist, each with its own advantages and disadvantages. They lead to different combinatorial problems but unfortunately, for most of these problems polynomial algorithms are still unknown; moreover, many of them are NP-complete. To solve some of these problem a number of combinatorial techniques have been suggested, in particular: homometric sets analysis, interval graphs, flows in networks, separation theory and minimum cycles mean in graphs. The author discusses: small-scale mapping; probed partial digestion; progress toward a basic map.<>
  • Keywords
    DNA; mathematical analysis; molecular biophysics; polynomials; DNA physical mapping; basic DNA map; biochemical techniques; combinatorial methods; combinatorial problems; experimental approaches; genomics engineering; polynomial algorithms; probed partial digestion; small-scale mapping; Biochemistry; Bioinformatics; Cities and towns; DNA; Genetics; Genomics; Humans; Polynomials; Probes; Reflection;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.265797
  • Filename
    265797