Based on dynamical systems modeling and simulations, a novel theory for stem cell differentiation is proposed.
Metabolic flux profiles were estimated by genome-scale metabolic models for improvements of bio- production.
Comprehensive phenotype/genotype Analysis were performed for evolved E.coli strains.
Based on physio-chemical model of hybridization, novel algorithms of microarray analysis were proposed.
By using simulations of cell models, a fluctuation-based adaptive behavior was studied.
Using cell model, universal statistics in cellular dynamics and their experimental verifications were studied.
By using comprehensive analysis as microarrays, information for molecular breeding were extracted.
Effects of single gene deletion/overexpression on cell growth were quantified under stress conditions.
By using continuous culture of E.coli cells, features of fluctuation in gene expression were analyzed.
Metabolic flux profiles were quantified by using 13C-tracer experiments and GC-MS analysis.
