All the tools you need to analyse your miRNAs


Target Prediction

Analysis Scheme:
Combined pattern recognition neural network (PRNN) and principle component analysis (PCA) architecture has been proposed in order to model the complicated relationship between miRNAs and their target mRNAs in humans. The results of several types of intelligent classifiers and proposed model were compared, showing that our algorithm outperformed them with higher sensitivity and specificity. Using the recent release of the mirBase database to find potential targets of miRNAs, this model incorporated twelve structural, thermodynamic and positional features of miRNA:mRNA binding sites to select target candidates.

Homepage: Link Offline

Last Software Update: Nov. 13, 2011
Publication Date: Nov. 19, 2012
Citations: 11 [via Pubmed]

Organism Specific:
  • human

  • Reference Genome Needed:
    Online/Local: /
    Installation/User Level: easy
    User Adjustability:
    User support:
    Precomputed Target Results Available For Download: (human)
    Performance : Specificity: 99%
    Target Prediction
    Algorithm Features:
  • seed match
  • free energy
  • G:U pairs allowed in the seed
  • local AU content
  • pattern recognition neural network
  • principle component analysis

  • Target Region: any
    Target Annotation:
    NGS Data Needed:

    Comments & Ratings