C2B2 Research

C2B2 researchers are using advanced computational methods to investigate a wide range of biological phenomena. Key areas of research include:

• Prediction of protein structure, function and localization.
• Study of protein-protein and protein-DNA interactions.
• Gene expression analysis and prediction of regulatory network structure.
• Study of complex inherited traits.
• Image analysis and interpretation.
• Biomedical ontology development.
• Knowledge extraction from scientific literature and medical reports.
• Evidence integration.

A diverse set of analytical approaches are being applied to address these research problems combining methods from Physics, Chemistry, Mathematics, Signal processing, Statistics, Computational learning and Bioinformatics. In addition, leveraging collective expertise in computer systems research, interoperability, complex database technologies and modern software engineering methodologies, C2B2 members are making their research available to the public through software systems that accelerate and enrich biological data analysis.

The Center is located in an intellectually-stimulating, resource-rich environment, drawing on the skills of faculty in the Departments of Biochemistry and Molecular Biophysics and Biomedical informatics at the Columbia University Medical Center, as well as in the Departments of Applied Physics and Applied Mathematics, Biological Sciences, Computer Science and Electrical Engineering and the Center for Computational Learning Systems, located on the Morningside Campus of Columbia University.