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Efficient data storage and analysis for generic biomolecular simulation data

Efficient data storage and analysis for generic biomolecular simulation data
Efficient data storage and analysis for generic biomolecular simulation data
BioSimGrid aims to deliver a biomolecular simulation data repository to enable more efficient storage, access and exchange of biomolecular simulation data. This is an ongoing project still in development that seeks to exploit the concept of the Grid where large computational and data resources are made available to users in a highly accessible manner. The ability to submit, search, query, retrieve, and post process biomolecular data in a uniform way is vital for the biochemistry community for more efficient data sharing. The study of biomolecular simulation data, which encapsulates the motions of molecules are key contributions to applications such as drug discovery. This paper describes the BioSimGrid project and relates it to other recent work on grid-enabled data storage.We describe the middleware that enables the work flow of BioSimGrid and finally discuss the future work.
443-450
Ng, Muan Hong
6cdc5c67-aaa2-4153-b64c-3491ad848fce
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Murdock, Stuart
352e1d8a-2d79-4bc0-a47c-025715bec117
Wu, Bing
68da5cb1-6a5f-46f9-8173-12d702625220
Tai, Kaihsu
363c10d0-8583-4bea-bc0f-5be75142e5de
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Essex, Jonathan W.
1f409cfe-6ba4-42e2-a0ab-a931826314b5
Sansom, Mark
81b590ff-02fb-47cf-8b77-8257bf9c05f9
Jeffreys, Paul
a2376cab-ac2a-4905-8bc3-91993d8cd728
Ng, Muan Hong
6cdc5c67-aaa2-4153-b64c-3491ad848fce
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Murdock, Stuart
352e1d8a-2d79-4bc0-a47c-025715bec117
Wu, Bing
68da5cb1-6a5f-46f9-8173-12d702625220
Tai, Kaihsu
363c10d0-8583-4bea-bc0f-5be75142e5de
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Essex, Jonathan W.
1f409cfe-6ba4-42e2-a0ab-a931826314b5
Sansom, Mark
81b590ff-02fb-47cf-8b77-8257bf9c05f9
Jeffreys, Paul
a2376cab-ac2a-4905-8bc3-91993d8cd728

Ng, Muan Hong, Johnston, Steven, Murdock, Stuart, Wu, Bing, Tai, Kaihsu, Fangohr, Hans, Cox, Simon, Essex, Jonathan W., Sansom, Mark and Jeffreys, Paul (2004) Efficient data storage and analysis for generic biomolecular simulation data. At 3rd UK e-Science Programme All Hands Meeting (AHM 2004) 3rd UK e-Science Programme All Hands Meeting (AHM 2004). 31 Aug - 03 Sep 2004. pp. 443-450.

Record type: Conference or Workshop Item (Paper)

Abstract

BioSimGrid aims to deliver a biomolecular simulation data repository to enable more efficient storage, access and exchange of biomolecular simulation data. This is an ongoing project still in development that seeks to exploit the concept of the Grid where large computational and data resources are made available to users in a highly accessible manner. The ability to submit, search, query, retrieve, and post process biomolecular data in a uniform way is vital for the biochemistry community for more efficient data sharing. The study of biomolecular simulation data, which encapsulates the motions of molecules are key contributions to applications such as drug discovery. This paper describes the BioSimGrid project and relates it to other recent work on grid-enabled data storage.We describe the middleware that enables the work flow of BioSimGrid and finally discuss the future work.

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Published date: 2004
Venue - Dates: 3rd UK e-Science Programme All Hands Meeting (AHM 2004), 2004-08-31 - 2004-09-03

Identifiers

Local EPrints ID: 23166
URI: https://eprints.soton.ac.uk/id/eprint/23166
PURE UUID: f81a016e-df0f-4eef-a0e8-5b3d4c827a1d
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Jonathan W. Essex: ORCID iD orcid.org/0000-0003-2639-2746

Catalogue record

Date deposited: 27 Mar 2006
Last modified: 06 Jun 2018 13:07

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