A computational algorithm to predict shRNA potency

The strength of conclusions drawn from RNAi-based studies is heavily influenced by the quality of tools used to elicit knockdown. Prior studies have developed algorithms to design siRNAs. However, to date, no established method has emerged to identify effective shRNAs, which have lower intracellular...

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Bibliographic Details

Published in:	Molecular cell Vol. 56; no. 6; p. 796
Main Authors:	Knott, Simon R V, Maceli, Ashley, Erard, Nicolas, Chang, Kenneth, Marran, Krista, Zhou, Xin, Gordon, Assaf, Demerdash, Osama El, Wagenblast, Elvin, Kim, Sun, Fellmann, Christof, Hannon, Gregory J
Format:	Journal Article
Language:	English
Published:	United States 18.12.2014
Subjects:	Algorithms Base Sequence Cell Line, Tumor Computer Simulation Consensus Sequence Gene Knockdown Techniques Humans MicroRNAs - genetics Models, Genetic Molecular Sequence Data RNA, Small Interfering - genetics Software
ISSN:	1097-4164, 1097-4164
Online Access:	Get more information
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