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Microarrays: lost in a storm of data?

Nature Reviews Neuroscience volume 2, pages 441–443 (2001)Cite this article

Abstract

Microarray expression profiling is instrumental to our understanding of the function of the genome. Resolution of functionally relevant expression patterns will require the analysis of large data sets compiled from multiple investigators. For this and other reasons, I argue that it is crucial for array data to be publicly shared in a format as close to the 'raw data' as possible. Issues such as protection of intellectual property, ensuring quality of the data, and the format and timing for sharing array data are also discussed.

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Figure 1: Linearity in microarray results.
Figure 2: Nonlinearity in microarray results.
Figure 3: Position effects in microarray analysis.

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Acknowledgements

I would like to thank all the members of the Miles laboratory for their enthusiasm, dedication and many helpful discussions. In particular, I thank Li Zhang for stimulating discussions regarding the analysis of microarray data. I also would like to acknowledge support from the National Institute on Alcohol Abuse and Alcoholism, the National Institute on Drug Abuse and the State of California, through a grant to the University of California for research on alcoholism and drug abuse.

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  1. the Ernest Gallo Clinic and Research Center, 5858 Horton Street, Suite 200, Emeryville, 94608, California, USA

    Michael F. Miles

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  1. Michael F. Miles
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FURTHER INFORMATION

Brown laboratory

Gene Expression Omnibus

MGED III

Speed Group Microarray page

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Miles, M. Microarrays: lost in a storm of data?. Nat Rev Neurosci 2, 441–443 (2001). https://doi.org/10.1038/35077582

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