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An approach in which miRNAs are linked to diseases via proteins, thereby directly providing biological hypotheses. Specifically, we infer miRNA–disease associations by network analysis of known or predicted miRNA–protein associations and text-mined protein–disease associations. To account for the variable reliability of both types of associations, we provide a scoring scheme that allows for ranking of the inferences by confidence.

Interface:
Web user interface
Restrictions to use:
None
Computer skills:
Basic
Stability:
Stable
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Maintainer

  • Lars Juhl Jensen <lars.juhl.jensen at cpr.ku.dk>

Institution(s)

Center for non-coding RNA in Technology and Health, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark; Department of Veterinary Clinical and Animal Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark; Department of Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark

Funding source(s)

The Danish Council for Independent Research (Technology and Production Sciences), Danish Center for Scientific Computing, The Danish Council for Strategic Research (Programme Commission on Strategic Growth Technologies), The Novo Nordisk Foundation Center for Protein Research and the Danish Center for Scientific Computing

  • (Mork et al., 2014) Protein-driven inference of miRNA-disease associations. Bioinformatics.
    PMID: 24273243
  • (Akhtar et al., 2016) Bioinformatic tools for microRNA dissection. Nucleic acids research.
    PMID: 26578605

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