Identifying RNA N⁶-Methyladenosine Sites in Escherichia coli Genome

N⁶-methyladenosine (m⁶A) plays important roles in a branch of biological and physiological processes. Accurate identification of m⁶A 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 m⁶A sites from primary RNA sequences. Although there are some computational methods for identifying m⁶A sites, no methods whatsoever are available for detecting m⁶A sites in microbial genomes. In this study, we developed a computational method for identifying m⁶A 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 m⁶A sites in microbial genomes.