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Gene expression informatics —it's all in your mine

Nature Genetics volume 21, pages 51–55 (1999)Cite this article

Abstract

Technologies for whole–genome RNA expression studies are becoming increasingly reliable and accessible. However, universal standards to make the data more suitable for comparative analysis and for inter–operability with other information resources have yet to emerge. Improved access to large electronic data sets, reliable and consistent annotation and effective tools for 'data mining' are critical. Analysis methods that exploit large data warehouses of gene expression experiments will be necessary to realize the full potential of this technology.

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Figure 1: Overview of the information system for large–scale gene expression experiments.
Figure 2: Clustering high–throughput gene expression data can shed new light on biological pathways and processes.

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Acknowledgements

We thank A. Bondarenko, H. Dai, Y. He & R. Stoughton for their significant contributions to this work; and G. Church for valuable suggestions on the manuscript.

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Authors and Affiliations

  1. Rosetta Inpharmatics, Kirkland, 98034, Washington, USA

    Douglas E. Bassett Jr

  2. Department of Genetics, Stanford University School of Medicine, Stanford, 94305, California, USA

    Michael B. Eisen

  3. National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, 20894, Maryland, USA

    Mark S. Boguski

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  2. Michael B. Eisen
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  3. Mark S. Boguski
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Bassett, D., Eisen, M. & Boguski, M. Gene expression informatics —it's all in your mine. Nat Genet 21 (Suppl 1), 51–55 (1999). https://doi.org/10.1038/4478

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