Biological Sequence Analysis

  • Brunak, Søren (Project Manager)
  • Sorgenfrei Blom, Nikolaj (Project Participant)
  • Boesen, Lone (Project Participant)
  • Gorodkin, Jan (Project Participant)
  • Hansen, Jan (Project Participant)
  • Knudsen, Steen (Project Participant)
  • Krogh, Anders Stærmose (Project Participant)
  • Pedersen, Anders Gorm (Project Participant)
  • Rapacki, Kristoffer (Project Participant)
  • Stærfeldt, Hans Henrik (Project Participant)
  • Keiding, Johanne (Project Participant)
  • Nielsen, Henrik (Project Participant)
  • Dahlin, Kristine Bøje (Project Participant)
  • Larsen, Thomas Schou (Project Participant)
  • Gupta, Ramneek (Project Participant)
  • Andersen, Claus A. (Project Participant)
  • Worning, Peder (Project Participant)
  • Workman, Christopher (Project Participant)
  • Jarmer, Hanne Østergaard (Project Participant)
  • Ussery, David (Project Participant)
  • Jensen, Lars Juhl (Project Participant)

    Project Details


    The Center for Biological Sequence Analysis conducts basic research in bioinformatics - a rapidly growing area in the field of molecular biology. The overall goal of the research is to obtain knowledge of the complex relations between sequence composition - the content and order of the chemical building blocks - and macromolecular structure and function. In addition, the research is aimed at creating entirely
    new possibilities in the study of evolutionary processes by comparison
    of sequence patterns across species.
    The tremendous growth in the amount of sequence and structure data has brought about a radical change in the possibilities of developing powerful computer methods for classification, prediction and comparison of molecular structure and function. The work of the center is especially focussed on novel data driven computational methods, such as artificial neural networks and hidden Markov models.
    Please see for further information.
    Effective start/end date01/01/199831/08/2003


    • Unknown


    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.