Computational Molecular Biology in the School of Computer Science
Computational molecular biology is an active area of research at Carnegie Mellon, carried out by faculty members who make this their primary research area as well through collaborations between computational and biological scientists. Areas of emphasis include the application of machine learning and data mining techniques to large biological knowledge bases, biological modeling, computational aspects of high-throughput laboratory methodologies for large-scale, systematic studies of protein structure and function, analysis of biological image data and computational genomics. Carnegie Mellon recently won a $3.2M multi-investigator grant for research on bioinformatics and cancer.
Carnegie Mellon University offers educational programs in computational biology through the undergraduate degree in Biological Sciences with a Computational Option or the B.S. Degree in Biological Sciences/Computational Biology, the Professional Masters Program in Computational Biology, and the Merck Graduate Program in Computational Biology and Chemistry . Graduate student applicants wishing to participate in the Merck Computational Biology and Chemistry graduate program at Carnegie Mellon must apply to and be accepted into one of the graduate programs of the participating departments: Biological Sciences, Chemistry and Computer Science .
Pittsburgh is a fertile environment for research combining biology with other disciplines, including activities at centers such as the Center for ALgorithm ADaptation Dissemination and INtegration (ALADDIN) , the Center for Biological Language Modeling, the Center for Light Microscope Imaging and Biotechnology , the Center for the Neural Basis of Cognition , Faculty of Biomedical Engineering , The Pittsburgh NMR Center for Biomedical Research , and the Pittsburgh Supercomputing Center .
Faculty in allied departments at Carnegie Mellon who are using computational and mathematical approaches to study related biological problems include:
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