N6-methyladenosine (m6A) plays critical roles in a broad set of biological processes. Knowledge about the precise location of m6A site in the transcriptome is vital for deciphering its biological functions. Although experimental techniques have made substantial contributions to identify m6A methylations, they are still labor intensive, costly and time consuming. As good complements to experimental methods, in the past few years, a series of computational approaches have been proposed to identify m6A sites in Saccharomyces cerevisiae. In order to facilitate researchers to select appropriate methods for identifying m6A sites, it is necessary to give a comprehensive review and comparison on existing computational methods. In this review, we summarized the current progresses in computational prediction of m6A sites and also assessed the performance of computational methods for identifying m6A sites on an independent dataset. Finally, challenges and future directions of computationally identifying m6A sites were presented as well. Taken together, we anticipate that this review will provide an important guide for future computational analysis of m6A and other RNA modifications.
Published Date: 2020-11-16; Received Date: 2020-10-26