Abstract
Powerful new technologies, such as DNA microarrays, provide simple and economical ways to explore gene expression patterns against some kinds of gene perturbations such as disruption or over expression. Based on experimentally observed gene expression data on the steady state and transient state, recent advances of technology in bioinformatics have made it possible to infer the genetic interactions and to develop a biosimulator for analyzing metabolic networks in the cell. In this overview I will briefly explain the contribution of information science technology to the research on systems life sciences especially focused on the up-to-date development of biosimulator for metabolic networks.
