CINF 73 |
| A critical component of high throughput experiments is the ability to store, retrieve, and analyse the resulting data. This is arguably best accomplished using a relational database. However, an elaborate relational database is founded on a complicated schema, and changing this schema requires a major act of redesign. This is incompatible with the scientific method, however, by which new hypotheses are devised and tested. Triple store databases, on the other hand, are able to be modified and extended without requiring a major redesign. In this presentation, the triple store method, and its application to the cheminformatics problem of solubility prediction, will be described. |
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Informatics and High Throughput Experimentation
8:55 AM-11:45 AM, Tuesday, 15 March 2005 Convention Center -- Room 33B, Oral
Division of Chemical Information |