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N 6 -methyladenosine (m 6 A) plays important roles in a branch of biological and physiological processes. Accurate identification of m 6 A sites is especially helpful for understanding their biological functions. Since the wet-lab techniques are still expensive and time-consuming, it's urgent to develop computational methods to identify m 6 A sites from primary RNA sequences. Although there are some computational methods for identifying m 6 A sites, no methods whatsoever are available for detecting m 6 A sites in microbial genomes. In this study, we developed a computational method for identifying m 6 A sites in  Escherichia coli  genome. The accuracies obtained by the proposed method are >90% in both 10-fold cross-validation test and independent dataset test, indicating that the proposed method holds the high potential to become a useful tool for the identification of m 6 A sites in microbial genomes.

Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome