Statistical methods for analysis of high-throughput RNA interference screens

Birmingham, Amanda, Selfors, Laura M, Forster, Thorsten, Wrobel, David, Kennedy, Caleb J, Shanks, Emma, Santoyo-Lopez, Javier, Dunican, Dara J, Long, Aideen, Kelleher, Dermot, Smith, Queta, Beijersbergen, Roderick L, Ghazal, Peter ORCID: https://orcid.org/0000-0003-0035-2228 and Shamu, Caroline E 2009. Statistical methods for analysis of high-throughput RNA interference screens. Nature Methods 6 (8) , pp. 569-575. 10.1038/nmeth.1351

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Publisher:	Nature Publishing Group
ISSN:	1548-7091
Last Modified:	23 Oct 2022 14:17
URI:	https://orca.cardiff.ac.uk/id/eprint/113270

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