Analysis and Comparison of RNA Pseudouridine Site Prediction Tools

Wei       Chen; Kewei       Liu
Abstract

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.
Keywords: Epitranscriptome, RNA modification, pseudouridine, support vector machine, nucleotide physicochemical property, web server.
Graphical Abstract

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Cite As
Current Bioinformatics

Analysis and Comparison of RNA Pseudouridine Site Prediction Tools

Abstract

Graphical Abstract
