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

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. AVAILABILITY http://www.proto.cs.huji.ac.il/mirror

[1]  Doron Betel,et al.  The microRNA.org resource: targets and expression , 2007, Nucleic Acids Res..

[2]  V. Kim MicroRNA biogenesis: coordinated cropping and dicing , 2005, Nature Reviews Molecular Cell Biology.

[3]  J. Kitzman,et al.  Determinants of targeting by endogenous and exogenous microRNAs and siRNAs. , 2007, RNA.

[4]  Christoph Rodak,et al.  MirZ: an integrated microRNA expression atlas and target prediction resource , 2009, Nucleic Acids Res..

[5]  C. Burge,et al.  Prediction of Mammalian MicroRNA Targets , 2003, Cell.

[6]  A. Hatzigeorgiou,et al.  A guide through present computational approaches for the identification of mammalian microRNA targets , 2006, Nature Methods.

[7]  J. Kitzman,et al.  microRNAs and siRNAs Determinants of targeting by endogenous and exogenous , 2022 .

[8]  K. Gunsalus,et al.  Combinatorial microRNA target predictions , 2005, Nature Genetics.

[9]  Martin Reczko,et al.  The database of experimentally supported targets: a functional update of TarBase , 2008, Nucleic Acids Res..

[10]  M. Cleary,et al.  Combinatorial microRNAs: Working together to make a difference , 2008, Cell cycle.

[11]  S. Batalov,et al.  A gene atlas of the mouse and human protein-encoding transcriptomes. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Anton J. Enright,et al.  Human MicroRNA Targets , 2004, PLoS biology.

[13]  Nectarios Koziris,et al.  Accurate microRNA target prediction correlates with protein repression levels , 2009, BMC Bioinformatics.

[14]  J. Castle,et al.  Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs , 2005, Nature.

[15]  Michael Kertesz,et al.  The role of site accessibility in microRNA target recognition , 2007, Nature Genetics.

[16]  Stijn van Dongen,et al.  miRBase: tools for microRNA genomics , 2007, Nucleic Acids Res..

[17]  J. Dow,et al.  Using FlyAtlas to identify better Drosophila melanogaster models of human disease , 2007, Nature Genetics.

[18]  A. T. Freitas,et al.  Current tools for the identification of miRNA genes and their targets , 2009, Nucleic acids research.

[19]  Xiaowei Wang miRDB: a microRNA target prediction and functional annotation database with a wiki interface. , 2008, RNA.