We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Minimizing the risk of reporting false positives in large-scale RNAi screens.
- Authors
Echeverri, Christophe J; Beachy, Philip A; Baum, Buzz; Boutros, Michael; Buchholz, Frank; Chanda, Sumit K; Downward, Julian; Ellenberg, Jan; Fraser, Andrew G; Hacohen, Nir; Hahn, William C; Jackson, Aimee L; Kiger, Amy; Linsley, Peter S; Lum, Lawrence; Ma, Yong; Mathey-Prévôt, Bernard; Root, David E; Sabatini, David M; Taipale, Jussi; Perrimon, Norbert; Bernards, René
- Abstract
Large-scale RNA interference (RNAi)-based analyses, very much as other 'omic' approaches, have inherent rates of false positives and negatives. The variability in the standards of care applied to validate results from these studies, if left unchecked, could eventually begin to undermine the credibility of RNAi as a powerful functional approach. This Commentary is an invitation to an open discussion started among various users of RNAi to set forth accepted standards that would insure the quality and accuracy of information in the large datasets coming out of genome-scale screens.
- Publication
Nature methods, 2006, Vol 3, Issue 10, p777
- ISSN
1548-7091
- Publication type
Journal Article
- DOI
10.1038/nmeth1006-777