1. DeepOMe is a precise tool for prediction of 2′-O-methylations.

2′-O-methylations (2′-O-Me) are one of the most important layers of regulatory control over gene expression.

By utilizing Deep Learning, DeepOMe has developed a new algorithm for prediction of 2′-O-Me sites.

DeepOMe can predict the exact locations of 2′-O-Me by a many-to-many mode.

2. DeepOMe updates the way of modeling 2′-O-Me sites prediction.

A many-to-many procedure is introduced to train and test.

A hybrid CNN and BLSTM architecture is utilized to automatedly extract features from primary mRNA sequences.

3. Robust deep learning model

DeepOMe is constructed by a network with ten dilated 1D convolutional neural networks and two bidirectional LSTM layers.

Softmax function is implemented in the output fully connected layer.