A Mini-review of the Computational Methods Used in Identifying RNA 5-Methylcytosine Sites

RNA 5-methylcytosine (m(5)C) is one of the pillars of post-transcriptional modification (PTCM). A growing body of evidence suggests that m(5)C plays a vital role in RNA metabolism. Accurate localization of RNA m(5)C sites in tissue cells is the premise and basis for the in-depth understanding of the functions of m(5)C. However, the main experimental methods of detecting m(5)C sites are limited to varying degrees. Establishing a computational model to predict modification sites is an excellent complement to wet experiments for identifying m(5)C sites. In this review, we summarized some available m(5)C predictors and discussed the characteristics of these methods.