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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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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Files:
Publisher copy:
10.1016/j.future.2005.10.005
Journal:
Future Generation Computer Systems Journal website
Volume:
22
Issue:
6
Pages:
657-664
DOI:
ISSN:
0167-739X
URN:
uuid:418685e9-3c56-4553-bbd5-91e3707283f8
Local pid:
ora:960

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