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All, Here's the title and abstract for Professor Mike Langson's talk Thursday: Mathematical and Computational Advances in High-Throughput Biological Data Analysis Abstract: We will discuss the utility of innovative graph algorithms in the analysis of high-throughput biological data. Using gene co-expression network analysis as a central theme, we will describe the use of novel tools for handling noisy data, and the role of model organisms in successful applications to human health. We will also discuss the utility of powerful mathematical methods and computational platforms. Algorithms designed for shared memory machines can be difficult to translate effectively to distributed memory models. Moreover, problems are frequently of an enumerative flavor, and thus output bound. The situation is confounded by FPGAs, multi-core processors, GPUs, green computing and other so-called disruptive technologies. Efficient combinatorial search remains a core concern. As time permits, we will also touch on the quest for biomarkers and machine learning. Conrad Plaut Professor, Director of UT Math Honors Math Department Ayres Hall 224C University of Tennessee Knoxville, TN 37996-0612 Phone: 865-974-4319 http://web.utk.edu/~cplaut