| Genetic regulatory networks (GRNs) are integral to development. They can be large, complex, and non-intuitive and information available about them is minimal; thus, a systematic analysis of these networks is necessary in order to solve them. My thesis is a step towards understanding the modeling of GRNs.;This thesis first discusses the network model that examines the development of dorsal appendages in the Drosophila. We discuss our reproduction of their results, and the Monte Carlo studies performed on the parameter space of the network. I conclude that the model is highly sensitive to its parameters and discuss Mathematica as a tool for modeling GRNs. Second, this thesis introduces another system, Ingeneue, for solving GRNs and discusses our modification of the published work on the segment polarity network. We conclude that the modified system reflects the biology better. The last part of the thesis summarizes what was learned from this study. A generic model for solving GRNs seems to be a distant possibility. |
