We are involved in an ongoing effort to model, understand and eventually reverse engineer genetic networks based on high-throughput heterogeneous genomic data. I will describe several ongoing projects in this direction, including:

• a biclustering algorithm for detecting tight regulatory modules, which allowed annotations of numerous unknown yeast genes at high specificity, and provides novel global views of the yeast system
• a genome-wide in-silico method for the determination of transcriptional regulation modules controlling cell cycle in human cells.
• a novel model for gene regulation and metabolic pathways and an inference methodology developed for the model.