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Statistical methods for analysis of high-throughput RNA interference screens.

ABSTRACT: RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery, and in both of these areas large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however, small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular characteristics of RNAi screen data that must be addressed during analysis. Additionally, we provide guidance on selection of analysis techniques in the context of a sample workflow.

SUBMITTER: Birmingham A

PROVIDER: S-EPMC2789971 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

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Statistical methods for analysis of high-throughput RNA interference screens.

Birmingham Amanda A Selfors Laura M LM Forster Thorsten T Wrobel David D Kennedy Caleb J CJ Shanks Emma E Santoyo-Lopez Javier J Dunican Dara J DJ Long Aideen A Kelleher Dermot D Smith Queta Q Beijersbergen Roderick L RL Ghazal Peter P Shamu Caroline E CE

Nature methods 20090801 8

RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery, and in both of these areas large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however, small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular ...[more]

PMID: 19644458

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