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Modeling, simulation, high-end computing and data analysis, for information-based knowledge discovery. Combining engineering methods with molecular biology, leading to synthesis of new functional materials, molecular machines, and therapeutics. A multidisciplinary and holistic view of the living systems that moves beyond molecular link scales to understand biological complexity at multiple levels. Research Areas CLS in the context of Emory's Strategic Plan. Latest developments, faculty and postdoc job opportunities, related events at Emory and elsewhere. Current opportunities within the CLS Initiave. CLS related seminars: notices, archived webcasts, live webcast links. CLS steering and executive commitee members. Faculty members affiliated with the CLS Initiative. Contribute to the Computational and Life Sciences Strategic Initiative CLS at Emory Find potential collaborators based on mutual research interests. CLS planning documents, CLS-related tech reports and preprints and other uploads (registration required to post). Discuss scientific topics, papers or recent discoveries, find potential collaborators etc. (registration required to post). CLS Exchange |
 A multidisciplinary and holistic view of living systems that moves beyond molecular link scales to understand biological complexity at multiple levels. Among its overarching goals, Systems Biology attempts to understand how complex biological systems arose, how they operate individually, and how they collectively define networks, societies, and communities. It focuses on the integrated study of living systems across multiple scales, from molecular to cellular, organ, individual and population. Driven largely by advancements in robotics and informatics that allow the simultaneous measurements of hundreds of thousands of individual experimental observations, a systems approach can easily quadruple the knowledge gleaned over decades of study by hundreds of individual laboratories. Developments in algorithms, database theory, statistics, numerical methods, and systems design will focus quite naturally on problems that emerge in predictive health and neuroscience. They will bring modeling and predictive power to studying disease ecology, and to important initiatives in public health and disease prevention. They will increase our capabilities in the new "-omic" sciences including:
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