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DILS
2006
Springer

Data Access and Integration in the ISPIDER Proteomics Grid

10 years 2 months ago
Data Access and Integration in the ISPIDER Proteomics Grid
Abstract. Grid computing has great potential for supporting the integration of complex, fast changing biological data repositories to enable distributed data analysis. One scenario where Grid computing has such potential is provided by proteomics resources which are rapidly being developed with the emergence of affordable, reliable methods to study the proteome. The protein identifications arising from these methods derive from multiple repositories which need to be integrated to enable uniform access to them. A number of technologies exist which enable these resources to be accessed in a Grid environment, but the independent development of these resources means that significant data integration challenges, such as heterogeneity and schema evolution, have to be met. This paper presents an architecture which supports the combined use of Grid data access (OGSA-DAI), Grid distributed querying (OGSA-DQP) and data integration (AutoMed) software tools to support distributed data analysis. We...
Lucas Zamboulis, Hao Fan, Khalid Belhajjame, Jenni
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DILS
Authors Lucas Zamboulis, Hao Fan, Khalid Belhajjame, Jennifer A. Siepen, Andrew C. Jones, Nigel J. Martin, Alexandra Poulovassilis, Simon J. Hubbard, Suzanne M. Embury, Norman W. Paton
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