Design of a genome-wide siRNA library using an artificial neural network

The largest gene knock-down experiments performed to date have used multiple short interfering/short hairpin (si/sh)RNAs per gene. To overcome this burden for design of a genome-wide siRNA library, we used the Stuttgart Neural Net Simulator to train algorithms on a data set of 2,182 randomly selecte...

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Veröffentlicht in:	Nature biotechnology 2005-08, Vol.23 (8), p.995-1001
Hauptverfasser:	Hall, Jonathan, Huesken, Dieter, Lange, Joerg, Mickanin, Craig, Weiler, Jan, Asselbergs, Fred, Warner, Justin, Meloon, Brian, Engel, Sharon, Rosenberg, Avi, Cohen, Dalia, Labow, Mark, Reinhardt, Mischa, Natt, François
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Base Sequence Biological and medical sciences Biotechnology Computer Simulation Computer-Aided Design Design Fundamental and applied biological sciences. Psychology Gene Library Gene Silencing Hypoxia Models, Genetic Models, Statistical Molecular and cellular biology Molecular Sequence Data Nerve Net RNA, Small Interfering - chemistry RNA, Small Interfering - genetics Sequence Alignment - methods Sequence Analysis, RNA - methods
Online-Zugang:	Volltext
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