Errors in miRNA Recognition

Pavel Vorozheykin¹, Igor Titov^2
1NSU, pavel.vorozheykin@gmail.com
²ICG SB RAS, titov@bionet.nsc.ru

Selecting and using the key miRNA features are crucial for the identification of miRNA sequences. These criteria may help us to take out junk data from the miRNA databases and to improve the prediction of miRNA ends in order to obtain more accurate forecasting of the seed-related functions. We consider different processes of the miRNA identification to determine their role and influence on the prediction quality.