Minimizing the risk of reporting false positives in large-scale RNAi screens

摘要: 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 care applied to validate results from these studies, if left unchecked, could eventually begin undermine credibility RNAi a powerful functional approach. This Commentary is an invitation open discussion started among various users set forth accepted that would insure quality accuracy information large datasets coming out genome-scale screens.