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Computational Protein Structure PredictionThe purpose of this workshop is to help identify and roadmap those issues in the use of high performance computing in structural prediction that are critical to the success of the Genomes to Life (GTL) program (http://doegenomestolife.org). Workshop Date: Participation in each workshop is by invitation only. When making your hotel reservation, please refer to the GTL workshop block. The workshop is sponsored by the Department of Energy Offices of Advanced Scientific Computing Research and Biological and Environmental Research. Computational Protein Structure Prediction July 24, 2003 High-throughput GTL facilities and ultrascale computing will make it possible to address the ultimate goal of modern biology: to achieve a fundamental, comprehensive, and systematic understanding of life. (www.doegenomestolife.org) With this promise, however, comes a problem with the massive quantities and increased complexity of biological data produced by experiments and computations. Genome-scale collection, analysis, dissemination, and modeling of those data are the key to success of GTL. Most of these activities that deal with data generated by specialized experimental facilities will be performed primarily at these facilities. However, integration and coordination of collection, analysis, and dissemination of data across the facilities will be extremely critical to assure high-throughput knowledge synthesis, engage the broader biology community, and to eventually bring genomes to life. The pressing need for such integration was emphasized by the GTL facility plan and numerous workshop reports. The Genomes-to-Life Structure Prediction Workshop will seek to address these integration requirements as well as scope out the major capabilities and problems associated with the full scale distributed GTL facility. The GTL Structure Prediction Workshop will address both hardware and software infrastructure and span the following four areas:
The 20 invited participants will be asked to address the
cross-cutting GTL tool and data needs of the four proposed GTL
facilities, the five large GTL projects currently funded,
and the larger DOE biology community. The results of this
workshop will be published in a report to DOE. |
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