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Artificial Gene Expression

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.
artGRN


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  1. Christian Knüpfer, Peter Dittrich, and Clemens Beckstein. Artificial gene regulation: A data source for validation of reverse bioengineering. In H. Schaub, F. Detje, and U. Brüggemann, editors, Proceedings of the 6th German Workshop on Artificial Life 2004 (GWAL-6), pages 66--75, Bamberg, 2004. Akademische Verlagsgesellschaft Aka, Berlin. [ bib | preprint ]
  2. Christian Knüpfer. Testdatengenerierung für die Inferenz von Genregulationsnetzen, Diplomarbeit, 2003.
    bib | preprint ]