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A unique database to aid researchers in determining the optimal microRNA prediction databases to use for application-specific microRNA:target searches. mirDIP integrates twelve microRNA prediction datasets from six microRNA prediction databases, allowing users to customize their microRNA target searches. Combining microRNA predictions allows users to obtain more robust target predictions, giving you more confidence in your microRNA targets.

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  • Igor Jurisica <juris at ai.utoronto.ca>


Department of Medical Biophysics, University of Toronto, Toronto, Ontario; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network and The Campbell Family Institute for Cancer Research, Toronto, Ontario, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada

Funding source(s)

The Canada Foundation for Innovation Grants #12301 and #203383; the Canada Research Chair Program; CIHR Catalyst Grant #202370; the Natural Science and Engineering Research Council of Canada Grant #104105; the CIHR Canada Graduate Scholarship Program; IBM

  • (Shirdel et al., 2011) NAViGaTing the micronome–using multiple microRNA prediction databases to identify signalling pathway-associated microRNAs. PloS one.
    PMID: 21364759

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