Project: Artificial Gene Regulation

Contact: Christian Knüpfer, Peter Dittrich

In systems biology a large number of new algorithms are developed that extract information from high throughput gene expression data. In order to evaluate these new algorithms, we are developing an artificial gene expression data source, which is able to deliver an arbitrary large amount of artificial gene expression data, where the underlying network is precisely known in all details.

Currently the system consists of an artificial gene expression network including protein-protein interaction dynamics. The user can specify the characteristics and complexity of the internal dynamics of the network.


People Involved

  • Clemens Beckstein
  • Peter Dittrich
  • Mathias Franz
  • Mario Fasold
  • Matthias Höffken
  • Christian Knüpfer


    Christian Knüpfer, Peter Dittrich, Clemens Beckstein (2004)
    Artificial Gene Regulation: A Data Source for Validation of Reverse Bioengineering
    in: H. Schaub, F. Detje, U. Brüggemann (Eds), Proceedings of the 6th German Workshop on Artificial Life (GWAL6), April 14-16, 2004, Bamberg, Germany, pp. 66-75, Akademische Verlagsgesellschaft Aka, Berlin.
    preprint (pdf), BibTeX

    Christian Knüpfer (2003)
    Testdatengenerierung für die Inferenz von Genregulationsnetzen
    Diplomarbeit, Friedrich-Schiller-Universität Jena.
    PDF-File, BibTeX

    "Oct 1 2004" Peter Dittrich