News & Updates

  • A detailed protocol on using miRNet is now published (11/20/2018);
  • Check out Xeno-miRNet for exogenous miRNAs (xenomiRs) and their potential targets in different hosts (09/19/2018);
  • Updated the framework for better performance (08/19/2018);
  • Added exosomal miRNA annotation for human miRNAs (01/05/2018);
  • Added tissue-specific miRNA annotation for human miRNAs (12/26/2017);
  • miRNet can now automatically recognize and correct pre-miRNAs to their mature forms (12/16/2017);
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miRNet is an easy-to-use tool with comprehensive support for statistical analysis and functional interpretation of data generated in miRNAs studies. Its main features include:
  • Support for various inputs & statistics: miRNet accepts a list of miRNAs or targets, or a data table from microarray, RNAseq or RT-qPCR experiments. miRNet supports differential analysis using limma, edgeR and HTqPCR methods; enrichment analysis using standard hypergeometric tests and unbiased random sampling.
  • Comprehensive functional annotation: miRNet integrates data from eleven different miRNA databases - TarBase, miRTarBase, miRecords, miRanda (S mansoni only), miR2Disease, HMDD, PhenomiR, SM2miR, PharmacomiR, EpimiR, and starBase. It currently supports nine organisms - Human, Mouse, Rat, Cattle, Chicken, Zebra fish, Fruit fly, C. elegans and S. mansoni.
  • Creation of miRNA-target interaction networks: miRNet provides a wide array of options to allow researchers to build miRNA-target interaction networks at different confidence levels. The resulting network can be further optimized using different algorithms to improve visualization and understanding.
  • High-performance network visual analytics: miRNet offers five types of networks on miRNA-gene, miRNA-disease, miRNA-small molecule, miRNA-lncRNA, and miRNA-epigenetic modifier. The system supports zooming, highlighting, point-and-click, drag-and-drop, enrichment analysis, etc. to enable users to intuitively explore miRNAs, targets and functions.
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