Abstract
RNA post-transcriptional modifications (PTMs) are progressively gaining relevance in the study of coding-independent functions of RNA. RNA PTMs act as dynamic regulators of several aspects of the RNA physiology, from translation to half-life. Rising interest is supported by the advance of high-throughput techniques enabling the detection of these modifications on a transcriptome-wide scale. To this end, here we illustrate the usefulness of RNA Framework, a comprehensive toolkit for the analysis of RNA PTM mapping experiments, by reanalyzing two published transcriptome-scale datasets of N1-methyladenosine (m1A) and pseudouridine (Ψ) mapping, based on two different experimental strategies.
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