Wei Chen* and Kewei Liu Pages 279 - 286 ( 8 )
Background: Pseudouridine (Ψ) is the most abundant RNA modification and has important functions in a series of biological and cellular processes. Although experimental techniques have made great contributions to identify Ψ sites, they are still labor-intensive and costineffective. In the past few years, a series of computational approaches have been developed, which provided rapid and efficient approaches to identify Ψ sites.
Results: To provide the readership with a clear landscape about the recent development in this important area, in this review, we summarized and compared the representative computational approaches developed for identifying Ψ sites. Moreover, future directions in computationally identifying Ψ sites were discussed as well.
Conclusion: We anticipate that this review will provide novel insights into the researches on pseudouridine modification.
Epitranscriptome, RNA modification, pseudouridine, support vector machine, nucleotide physicochemical property, web server.
School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan 063210, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan 063210