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


ABSTRACT: RNA 5-methylcytosine (m5C) is one of the pillars of post-transcriptional modification (PTCM). A growing body of evidence suggests that m5C plays a vital role in RNA metabolism. Accurate localization of RNA m5C sites in tissue cells is the premise and basis for the in-depth understanding of the functions of m5C. However, the main experimental methods of detecting m5C sites are limited to varying degrees. Establishing a computational model to predict modification sites is an excellent complement to wet experiments for identifying m5C sites. In this review, we summarized some available m5C predictors and discussed the characteristics of these methods.

SUBMITTER: Li J 

PROVIDER: S-EPMC7324889 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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

Li Jianwei J   Huang Yan Y   Zhou Yuan Y  

Current genomics 20200101 1


RNA 5-methylcytosine (m<sup>5</sup>C) is one of the pillars of post-transcriptional modification (PTCM). A growing body of evidence suggests that m<sup>5</sup>C plays a vital role in RNA metabolism. Accurate localization of RNA m<sup>5</sup>C sites in tissue cells is the premise and basis for the in-depth understanding of the functions of m<sup>5</sup>C. However, the main experimental methods of detecting m<sup>5</sup>C sites are limited to varying degrees. Establishing a computational model to  ...[more]

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