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

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          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.

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          Author and article information

          Journal
          Nat Methods
          Nature methods
          Springer Science and Business Media LLC
          1548-7105
          1548-7091
          Aug 2009
          : 6
          : 8
          Affiliations
          [1 ] The RNAi Global Initiative, Lafayette, Colorado, USA. amanda.birmingham@thermofisher.com
          Article
          nmeth.1351 NIHMS159092
          10.1038/nmeth.1351
          2789971
          19644458
          5d27780a-4d8e-4bc7-b5b4-f14433fd1f52
          History

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