Welcome to miRNet

Each circle corresponds to a specific type of input. Click a circle on the right to proceed.

miRNet is a user-friendly, integrated tool suite designed for comprehensive analysis and functional interpretation of miRNAs and xeno-miRNAs. To achieve this goal, miRNet leverages multiple high-quality knowledgebase to connect miRNAs to their targets, other associated molecules as well as phenotypes (i.e. diseases). The information is presented through a powerful network visual analytics system to allow intuitive exploratory data analysis. Different functional enrichment analysis can be performed in situ to facilitate hypothesis generation.

News & Updates

  • Fixed the issue with file uploading (03/11/2019);
  • Fixed the bugs in tissue mapping (03/07/2019);
  • Added two modules to support analysis of xeno-miRNAs (xenomiRs) and their potential targets in different hosts (02/25/2019);
  • Updated the interface for improved performance and better user experience (02/20/2019);
  • A detailed protocol on using miRNet is now available (11/20/2018);
  • 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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Key Features
  • 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 Human, Mouse, Rat, Cattle, Chicken, Zebra fish, Fruit fly, C. elegans and S. mansoni.
  • Exploring xeno-miRNAs and their potential targets: miRNet currently supports six hosts (Human, Mouse, Chicken, Fruit fly, and C. elegans) with xeno-miRNAs reported from over 50 species. It contains over 400 experimentally detected xeno-miRNAs supplemented with 1000 computational predicted transportable miRNAs. Their potential gene targets are predicted using two algorithms - miRanda and TarPmiR.
  • 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.
Publications
Acknowledgements
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