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Our research concerns the microscopic behavior of complex biological and material systems.
With a faculty of more than two dozen members and onsite research infrastructure for high-performance computing, next-generation sequencing, and high-throughput screening, we conduct research to understand the behavior of complex biological networks and how small changes in those networks produce the diversity of life around us.
The FE method is a numerical technique commonly used to model mechanical behavior of complex biological systems.
The growth of the New Biology will be dramatically accelerated by developing frameworks for systematically analyzing, predicting, and modulating the behavior of complex biological systems".
Computational and mathematical tools have enabled the development of systems approaches for deciphering the functional and regulatory networks underlying the behavior of complex biological systems.
Constraint-based modeling enables the development of genome-scale in silico models that can predict the behavior of complex biological systems and their responses to the environments.
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Systems biology can be carried out in a 'Keplerian' fashion – look for correlations and empirical relationships that account for data – but the ultimate hope is to arrive at a 'Newtonian' understanding of the simple principles that give rise to the complicated behaviors of complex biological systems.
The characterization of the interacting behaviors of complex biological systems is a primary objective in protein protein network analysis and computational biology.
Whole-cell models promise to greatly facilitate the analysis of complex biological behaviors.
Resolving the genetic and mechanistic bases of complex biological behaviors remains a central challenge in the post-genomic era.
Genetic screens have often been used as initial steps in the study of complex biological phenomena such as development, behavior and cell cycle (e.g.[11], [12], [13]).
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