metaMIR is a microRNA (miRNA) framework to predict interactions in human between miRNAs and clusters of genes. The user provides a set of genes to be targeted, and optionally genes not to be targeted. Taking data from a reference database of previously established predictive algorithms, metaMIR will return miRNA candidates predicted to co-regulate genes among those entered by analyzing all possible subset combinations.

For articles describing the tool and webserver refer to the reference section below. Please cite us when using our tools.
For more information check the help page.

• Jason A. Davis, Sita J. Saunders, Martin Mann, Rolf Backofen
  Combinatorial ensemble miRNA target prediction of co-regulation networks with non-prediction data
  Nucleic Acids Research, 2017, 45 (15), 8745–8757.
  
• Martin Raden, Syed M Ali, Omer S Alkhnbashi, Anke Busch, Fabrizio Costa, Jason A Davis, Florian Eggenhofer, Rick Gelhausen, Jens Georg, Steffen Heyne, Michael Hiller, Kousik Kundu, Robert Kleinkauf, Steffen C Lott, Mostafa M Mohamed, Alexander Mattheis, Milad Miladi, Andreas S Richter, Sebastian Will, Joachim Wolff, Patrick R Wright, and Rolf Backofen
  Freiburg RNA tools: a central online resource for RNA-focused research and teaching
  Nucleic Acids Research, 46(W1), W25-W29, 2018.