MicroRNA target site identification by integrating sequence and binding information

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Item Type:	Article
Title:	MicroRNA target site identification by integrating sequence and binding information
Creators Name:	Majoros, W.H., Lekprasert, P., Mukherjee, N., Skalsky, R.L., Corcoran, D.L., Cullen, B.R. and Ohler, U.
Abstract:	High-throughput sequencing has opened numerous possibilities for the identification of regulatory RNA-binding events. Cross-linking and immunoprecipitation of Argonaute proteins can pinpoint a microRNA (miRNA) target site within tens of bases but leaves the identity of the miRNA unresolved. A flexible computational framework, microMUMMIE, integrates sequence with cross-linking features and reliably identifies the miRNA family involved in each binding event. It considerably outperforms sequence-only approaches and quantifies the prevalence of noncanonical binding modes.
Keywords:	Gene Regulatory Networks, Software, Data Integration, miRNAs
Source:	Nature Methods
ISSN:	1548-7091
Publisher:	Nature Publishing Group
Volume:	10
Number:	7
Page Range:	630-633
Date:	July 2013
Official Publication:	https://doi.org/10.1038/nmeth.2489
PubMed:	View item in PubMed

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