School of Biomedical Engineering, Science and Health Systems
Extraction and Analysis of Biological Networks
Date: February 6, 2009
at 4:00 PM
Location: Matheson Hall, Room: 109
Ohio State University
Department of Computer Science & Engineering
Complex interactions among biological entities can be effectively modeled as interaction networks where nodes represent entities of interest such as proteins, genes or complexes and edges mimic associations among them. The construction and analysis of these interaction networks form an important step in annotating unknown proteins and genes, determining regulatory relations, identifying drug targets, and integrating diverse datasets. Recently, the size and complexity of biological datasets have undergone a rapid expansion due to advances in high-throughput screening techniques. Therefore, the need for sophisticated computational techniques to convert diverse and noisy biological datasets into interaction networks and to study these networks for useful information has increased. In this talk, I will present a general framework to effectively analyze heterogeneous data from proteomics and genomics domains in the form of interaction networks.
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Matheson Hall is located at 32nd and Market Streets.