Implementation Details

  • Resources for xeno-miRNA data:

    Xeno-miRNAs detected from deep sequencing were collected from Exo-miRExplorer.
    Xeno-miRNAs manually collected from literature included dietary sources, parasites exosome-liked vesicles and virus.
    Predicted xeno-miRNA data were collected from the study by Shu et al.

  • Resources for miRNA target data:
    The miRNA targets were predicted base on two algorithms with default parameters - miRanda (score >= 140) and TarPmiR (probability >= 0.5).
  • The web application framework:

    Java Server Faces Technology using the PrimeFaces component library.

  • Network visualization and analysis.

    jquery for general purpose scripting.
    sigma.js for network display and interactions.
    igraph: network analysis and layout.

Server hardware

Xeno-miRNet is currently hosted on a Google Cloud Computing Engine with 30G RAM and 8 CPU cores (n1-standard-8). The application server is Glassfish 4.0. Please note, the client-side data visualization requires a modern browser that supports HTML5 canvas and JavaScript. miRNet has been tested under Google Chrome (5.0+), Firefox (3.0+), and Internet Explorer (9.0+). The performance of data visualization depends on the user's computer. For best experience, we recommend using the latest version of Google Chrome on a computer with at least 4GB of physical RAM.

Contact & Support

The Xeno-miRNet software is developed and maintained in the Xia Lab at McGill University, QC Canada. For bug reports, comments or suggestions, please email to Jeff Xia (jeff.xia at


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