The biological sciences have become more quantitative and information-driven since emerging computational and mathematical tools facilitate collection and analysis of vast amounts of biological data. Complexity analysis of biological systems provides biological knowledge for the organization, management, and mining of biological data by using advanced computational tools. The biological data are inherently complex, nonuniform, and collected at multiple temporal and spatial scales. The investigations of complex biological systems and processes require an extensive collaboration among biologists, mathematicians, computer scientists, and engineers to improve our understanding of complex biological process from gene to system
