Systems Biology: Leveraging Biological Complexity and Computational Power

When studying how a bicycle works, we can break it down into its composite parts (e.g. the gears, brakes and wheels) and study each part in isolation. But although we would become experts on the parts, the gears, brakes, or wheels, we would still need to integrate knowledge across these parts to understand how the whole bicycle system works, or how a change in one part of this system would affect other parts. This rationale can be applied similarly to the study of disease mechanisms. Continue reading Systems Biology: Leveraging Biological Complexity and Computational Power