Biological information is transmitted from gene sequence to gene activity patterns. This information feeds back to the regulation of gene expression through a hierarchy of inter- and intracellular signaling functions. We have conducted extensive surveys of the dynamics of gene expression to capture essential information flow in genetic signaling networks. Analysis of these data suggests conserved modules of genetic programs. Dynamic studies of this kind, coupled with advanced inference techniques ranging from cluster analysis to reverse engineering, will be critical for the discovery and validation of drug targets in pathology.

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