MiRror: A combinatorial analysis web tool for ensembles of microRNAs and their targets

Yitzhak Friedman, Guy Naamati, Michal Linial*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

Summary: The miRror application provides insights on microRNA (miRNA) regulation. It is based on the notion of a combinatorial regulation by an ensemble of miRNAs or genes. miRror integrates predictions from a dozen of miRNA resources that are based on complementary algorithms into a unified statistical framework. For miRNAs set as input, the online tool provides a ranked list of targets, based on set of resources selected by the user, according to their significance of being coordinately regulated. Symmetrically, a set of genes can be used as input to suggest a set of miRNAs. The user can restrict the analysis for the preferred tissue or cell line. miRror is suitable for analyzing results from miRNAs profiling, proteomics and gene expression arrays.

Original languageEnglish
Article numberbtq298
Pages (from-to)1920-1921
Number of pages2
JournalBioinformatics
Volume26
Issue number15
DOIs
StatePublished - 6 Jun 2010

Bibliographical note

Funding Information:
Funding: EU Framework VII Prospects consortium; grant from ISF 592/07; grant from BSF 2007219; fellowship from the SCCB, the Sudarsky Center for Computational Biology (to G.N.).

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