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Sci. Signal., 26 May 2009
Vol. 2, Issue 72, p. eg7
[DOI: 10.1126/scisignal.272eg7]


"Omic" Risk Assessment

Michael B. Major1 and Randall T. Moon2*

1 Lineberger Comprehensive Cancer Center, Department of Cell and Developmental Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
2 Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Howard Hughes Medical Institute and Department of Pharmacology, Campus Box 358056, 815 Mercer Street, Room S524, Seattle, WA 98109, USA. Editorial Board of Science Signaling, American Association for the Advancement of Science, 1200 New York Avenue, N.W., Washington, DC 20005, USA.

Abstract: Integration of data from different techniques is the key to effective validation of "hits" in large-scale screens. A discussion of validation methods for siRNA screens and protein-interaction screens reveals how to go beyond an arbitrary assignment of relevant to a more biologically meaningful identification of targets.

* Corresponding author. E-mail, rtmoon{at}

Citation: M. B. Major, R. T. Moon, "Omic" Risk Assessment. Sci. Signal. 2, eg7 (2009).

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