Abstract
Translational research projects target a wide variety of diseases, test many different kinds of biomedical hypotheses, and employ a large assortment of experimental methodologies. Diverse data, complex execution environments, and demanding security and reliability requirements make the implementation of these projects extremely challenging and require novel e-Science technologies.
| Original language | English |
|---|---|
| Pages | 58-66 |
| Number of pages | 9 |
| Volume | 41 |
| No | 11 |
| Specialist publication | Computer |
| DOIs | |
| State | Published - 2008 |
Keywords
- Bioinformatics
- Cancer
- Data models
- Diseases
- Genetics
- Genomics
- Interoperability
- Pattern templates
- Translational biomedical research
- Tumors
- caGrid
- e-Science
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