Applications of Glass Networks in Systems Biology

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Abstract

Glass models are frequently used to model gene regulatory networks. A distinct feature of the Glass model is that its dynamics can be formalized as paths through multi-dimensional binary hypercubes. The goal of this project is to identify instances of Glass networks that are amenable to reasoning by an analysis of the binary codes that correspond to the hypercube paths. Specifically, we aim at exploring algorithmic methods for the synthesis of specific Glass networks based on these codes. This project is suitable both for very applied and for theoretical studies.