Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Subscribe

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

EDITORIAL GUIDES

"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}u.washington.edu

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

Read the Full Text


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Science Signaling Podcast: 5 January 2010.
M. B. Yaffe and A. M. VanHook (2010)
Science Signaling 3, pc1
   Abstract »    Full Text »

To Advertise     Find Products


Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882