摘要：Knowledge of the distribution of N6-methyladenosine (m6A) is invaluable for understanding RNA biological functions. However, limitation in experimental methods impedes the progress towards the identification of m6A site. As a complement of experimental methods, a support vector machine based-method is proposed to identify m6A sites in Saccharomyces cerevisiae genome. In this model, RNA sequences are encoded by their nucleotide chemical property and accumulated nucleotide frequency information. It is observed in the jackknife test that the accuracy achieved by the proposed model in identifying the m6A site was 78.15%. For the convenience of experimental scientists, a web-server for the proposed model is provided at http://lin.uestc.edu.cn/server/m6Apred.php .
