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.