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metaMIR | Combinatorial ensemble miRNA target prediction of co-regulation networks with non-prediction data


Identifies individual miRNAs that co-regulate a subset of the input genes. metaMIR enables a detailed investigation by identifying miRNAs that target one group while not targeting another group of user-defined genes. It uses miRNA–gene-cluster pairs to recognize subsets of co-regulated genes.

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metaMIR classification

metaMIR specifications

Unique identifier:
Web user interface
Input data:
A list of genes.
Programming languages:
Software type:
Restrictions to use:
Output data:
Some miRNA candidates predicted to co-regulate genes.
Computer skills:

metaMIR support


  • Rolf Backofen <>
  • Jason Davis <>

Additional information


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Department of Molecular Embryology, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany; ZBSA Centre for Biological Systems Analysis, Albert-Ludwigs-University Freiburg, Freiburg, Germany; BIOSS Centre for Biological Signalling Studies, Cluster of Excellence, Albert-Ludwigs-University Freiburg, Germany; Centre for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, Denmark

Funding source(s)

Supported by Deutsche Forschungsgemeinschaft (DFG) project [PR1132 /3-1].

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