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MicroRNAs (miRNAs) are 19-25 nucleotides non-coding RNAs known to have important post-transcriptional regulatory functions. The computational target prediction algorithm is vital to effective experimental testing. However, since different existing algorithms rely on different features and classifiers, there is a poor agreement among the results of different algorithms. To benefit from the advantages of different algorithms, we proposed an algorithm called BCmicrO that combines the prediction of TargetScan, miRanda, PicTar, mirTarget, PITA, and DianamicroT.


You can search the prediction results of BCmicrO and the 6 algorithms for a human miRNA and a query target gene. You can also download the entire prediction results. The output of BCmicrO represents the a posteriori probability of the gene being a target.  

 

 

Select a miRNA                                             

 

Input  Ref_seq ID for a query target gene            

 

Download the prediction results for human miRNA

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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