Identification method of splice sites using comprehensive information

To identify splice sites more accurately and efficiently, a method to recognize splice sites based on comprehensive information was proposed. By analyzing the splicing signals, splicing sequences, secondary structures of flank sequence, different splicing factor mechanism of action and other characteristics of donor sites and acceptor sites, donor sites identification signal model, acceptor sites identification signal model, donor sites identification sequence model and acceptor sites identification sequence model were built, respectively. Then the Mfold package in Vienna soft was used to predict the most stable secondary structure of flank sequences. The traditional four-letter alphabet was converted into eight-letter alphabet sequence. The sequence-structure combination strings were used for training signal models and sequence models, and then well trained models were applied to recognize splice sites. Results show that the accuracy of splice site recognition is beyond 95%, suggesting that the method has great potential to achieve a good performance for splice sites identification.