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An integrative approach based on a meta-regulation network model and a large-scale database. MIR@NT@N uses a graph-based approach to predict novel molecular actors across multiple regulatory processes (i.e. TFs acting on protein-coding or miRNA genes, or miRNAs acting on messenger RNAs).

Software type:
Framework
Interface:
Command line interface
Restrictions to use:
Academic users only
Operating system:
Unix/Linux, Mac OS, Windows
Programming languages:
Javascript, PHP, R
License:
GNU General Public License version 2.0
Computer skills:
Advanced
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Institution(s)

Cytoskeleton and Cell Plasticity lab, Life Sciences Research Unit-FSCT, University of Luxembourg, L-1511 Luxembourg, Luxembourg

  • (Le Bechec et al., 2011) MIR@NT@N: a framework integrating transcription factors, microRNAs and their targets to identify sub-network motifs in a meta-regulation network model. BMC bioinformatics.
    PMID: 21375730
  • (Akhtar et al., 2016) Bioinformatic tools for microRNA dissection. Nucleic acids research.
    PMID: 26578605

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