MetaReg is a computational methdology and platform developed in Prof. Ron Shamir's
Computational Genomics Group at
Tel Aviv University.
Biological systems are traditionaly studied by focusing on specific subsystems, building intuitive models on regulatory relations in them and refining them using results from carefully designed experiments. Modern experimental techniques provide massive data on the global behavior of biological systems, but current methods are not systematically using these large datasets for refining existing knowledge.
MetaReg combines formalization of existing qualitative
models with probabilistic modeling and integration of high throughput experimental data.
Using MetaReg, it is possible to
- model metabolic and regulatory aspects of biological networks
- model and computationally study networks that contain cycles
- interpret genomewide measurements in the context of
prior knowledge on the system
- assign statistical meaning to the accuracy of
- learn refined models with improved fit to the experiments, and
- use a variety of graphical aids to perform each of the above activities
This research was supported in part by the EMI-CD
project that is funded by the European Commission
within its FP6 Programme, under the thematic area Life sciences, genomics and
biotechnology for health, contract number LSHG-CT-2003-503269.
TAU Computational Genomics Group website