Name
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 discuss the application of this architecture for the integration of several autonomous proteomics data resources. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11799511_3 | DILS |
Keywords | Field | DocType |
data analysis,grid data access,grid computing,autonomous proteomics data resource,ispider proteomics grid,great potential,data integration,biological data repository,methods derive,significant data integration challenge,grid environment,biological data,data access,data integrity | Data integration,Data mining,Data architecture,Biological data,Grid computing,Computer science,Data grid,Semantic grid,Data access,Grid,Database | Conference |
Volume | ISSN | ISBN |
4075 | 0302-9743 | 3-540-36593-1 |
Citations | PageRank | References |
16 | 0.76 | 18 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Zamboulis | 1 | 76 | 5.20 |
| Hao Fan | 2 | 43 | 3.68 |
| Khalid Belhajjame | 3 | 882 | 65.03 |
| Jennifer A. Siepen | 4 | 32 | 2.77 |
| Andrew R. Jones | 5 | 75 | 7.65 |
| Nigel Martin | 6 | 31 | 3.68 |
| Alexandra Poulovassilis | 7 | 1222 | 370.61 |
| Simon Hubbard | 8 | 16 | 0.76 |
| Suzanne M. Embury | 9 | 536 | 77.71 |
| Norman W. Paton | 10 | 3059 | 359.26 |