Gene Expression, that is the conversion of the genetic information of a single gene, is one of the central mechanism in cells. The complex interplay between genes at gene expression is depicted in gene regulatory networks. Methods to measure the intensities of many genes simultaneous have been developed in the last years. Perhaps it is able to get the underlying gene regulatory network by means of such microarray data.
There are a number of approaches they try to reconstruct a gene regulatory network from microarray data. It is difficult to validate such methods due to the fact that generally the real gene regulatory network is unknown. By means of model systems it is possible to generate artificial microarray data. This allow a direct comparison between the inferred gene regulatory network and the known model system.
The aim of this thesis is the development of a tool which generates artificial networks in consideration of specific parameters and calculates microarray data from the artificial network. Based on a biological plausible model of gene regulation appropriate artificial gene regulatory networks are generated. The described method is implemented in a JAVA-program.
With this program a number of studies are carried out. It is shown that the program is able to generate artificial systems. The structural features of this artificial systems are able to change through parameters. Further on the shifting in the dynamical behaviour of the artificial systems under directed modifications are investigated.