N6-methyladenosine (m6A) is the most prevalent and abundant modification in mRNAs that has been linked to many key biological processes.High-throughput experiments have generated m6A-peaks across the transcriptome of A.Thaliana,but the specific methylated sites were not assigned,which impedes the understanding of m6A functions in plants.Therefore,computational prediction of RNA m6A sites becomes emergently important.Here,we present a method to predict the m6A sites for A.Thaliana mRNA sequence(s).