Abstract
Motivation: Off-target activity commonly exists in RNA interference (RNAi) screens and often generates false positives. Existing analytic methods for addressing the off-target effects are demonstrably inadequate in RNAi confirmatory screens. Results: Here, we present an analytic method assessing the collective activity of multiple short interfering RNAs (siRNAs) targeting a gene. Using this method, we can not only reduce the impact of off-target activities, but also evaluate the specific effect of an siRNA, thus providing information about potential off-target effects. Using in-house RNAi screens, we demonstrate that our method obtains more reasonable and sensible results than current methods such as the redundant siRNA activity (RSA) method, the RNAi gene enrichment ranking (RIGER) method, the frequency approach and the t-test.
Original language | English |
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Article number | btr474 |
Pages (from-to) | 2775-2781 |
Number of pages | 7 |
Journal | Bioinformatics |
Volume | 27 |
Issue number | 20 |
DOIs | |
State | Published - Oct 2011 |
Bibliographical note
Funding Information:1Biometrics Research, Merck Research Laboratories, West Point, PA 19486, 2Automated Biotechnology, Merck Research Laboratories, North Wales, PA 19454, 3Biostatistics, University of Pennsylvania, Philadelphia, PA, 4Vaccine Manufacturing Sciences and Commercialization, Merck Manufacturing Division, West Point, PA 19486, 5Diabetes, Merck Research Laboratories, Rahway, NJ 07065, 6Neurology, Merck Research Laboratories, West Point, PA 19486, 7BARDS, Merck Research Laboratories, West Point, PA 19486 and 8Chemical Genomics Center, National Institutes of Health, Rockville, MD, USA
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics