Table 2 . Entity types and subtypes in the GEO database
SAGE platforms are automatically generated, as needed, based on the organismand anchoring enzyme used to generate the SAGE library.
FUTURE DEVELOPMENTS
The GEO resource is under constant development aimed at improving its indexing, linking, searching and display capabilities in order to allow more vigorous data mining. As an extension of the GEO repository, we are currently developing a fully granulated abundance measurement database, which will allow queries and retrievals of individual abundance measurements.However, under the limitations brought about by the complexity and rapid development of current high-through put gene expression and genomic hybridization experiments,abundance measurements may be comparable only with in small groups of similarly derived data sets. We plan to exploit these comparable data subsets in order to allow as much freedom as possible to query abundance measurements, as well as provide useful synoptic views of these data.
ACKNOWLEDGEMENTS
We would like to gratefully acknowledge the work of Vladimir Soussov, as well as the entire NCBI Entrez team, especially Grisha Starchenko, Vladimir Sirotinin, Alexey Iskhakov, andAnton Golikov. We would like to thank Jim Ostell for guidanceand review of this paper, Lou Staudt for discussions during ourinitial planning for GEO, and the extreme patience shown byBrian Oliver, Wolfgang Huber and Gavin Sherlock when making data submissions.
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