DIMACS Workshop on Detecting and Processing Regularities in High Throughput Biological Data

Presented under the auspices of the DIMACS/BioMaPS/MB Center Special Focus on Information Processing in Biology.
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Detecting and Processing Regularities in High Throughput Biological Data
The biological community is being innundated with a large amount of data and understanding this data is lagging behind the process of acquiring it. It is believed nature has left vital clues hidden in this data and there is a need for techniques and methodologies to work effectively in detecting these. Biological information processing exploits these regularities to gain understanding of the underlying model or phenomenon. For example, in its simplest form regularity could be repetition of functional or structural domains in a protein sequences or co-expression of genes in microarrays. When the data is in terms of networks, either representing protein-protein interactions or metabolic pathways, topological motifs tell a tale that will be fundamental in understanding the working of a biological system. The workshop aims to contribute significantly to the research effort by bringing together researchers from the many different groups engaged in biological projects having the study of regularities in the data as an underlying theme.
Partial List of Keynote Speakers:
* Alberto Apostolico, Purdue University
* Maxime Crochemore, Universite de Marne-la-Vallee
* Gadi Landau, University of Haifa
* Bud Mishra, New York University
* David Mount, University of Arizona
* Andrey Rzhetsky, Columbia University
* David Sankoff, University of Ottawa