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.

背景：假性尿苷（Ψ）是最丰富的RNA修饰，在一系列生物学和细胞过程中具有重要功能。尽管实验技术为识别Ψ点做出了巨大贡献，但它们仍然是劳动密集型且成本低廉的。在过去的几年中，已经开发出了一系列计算方法，这些方法提供了快速有效的方法来识别Ψ点。

结果：为了向读者提供有关该重要领域最近发展的清晰情况，在本综述中，我们总结并比较了为识别Ψ站点而开发的代表性计算方法。此外，还讨论了在计算上识别Ψ位点的未来方向。

结论：我们预计该综述将为假尿苷修饰的研究提供新颖的见解。