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Journal article

BioSimGrid: Grid-enabled Biomolecular Simulation Data Storage and Analysis

Abstract:

In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number of ways to reveal the biochemical properties of the proteins. However, the legacy way of storing these data (usually in the laboratory where the simulations have been run) often hinders a wider sharing and easier cross-comparison of simulation results. The data is commonly encoded in a way specific to the simulation...

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Files:
  • (pdf, 630.7KB)
Journal:
Future Generation Computer Systems
Publication date:
2006-01-01
Local pid:
ora:714

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