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Abstract:
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Advances in science and technology have led to a variety of new devices for obtaining measurements from biological samples. Some of these produce complex, extremely high-dimensional data (e.g., microarrays, array cGH, 2d gels, MALDI-MS, LC-MS, NMR). These data present significant analytic challenges that require careful thought and care to address. Bioinformatics, the quantitative field dealing with issues with these high-throughput biological data, has exploded in recent years as researchers have worked to address these issues. The coherent and flexible modeling framework provided by the Bayesian paradigm has proven useful for attacking problems in this area and shows considerable promise as an area of future research. In this roundtable luncheon, we will discuss Bayesian bioinformatics and bioinformatics in general, what it has accomplished, and what its future holds.
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