iRNA-m5U: A sequence based predictor for identifying 5-methyluridine modification sites in Saccharomyces cerevisiae

The 5-methyluridine (m⁵U)modification plays important roles in a series of biological processes. Accurate identification of m⁵U sites will be helpful to decode its biological functions. Although experimental techniques have been proposed to detect m⁵U, they are still expensive and time consuming. In the present work, a support vector machine based method, called iRNA-m5U, was developed to identify the m⁵U sites in the Saccharomyces cerevisiae transcriptome. The performance of iRNA-m5U was validated based on different datasets. The accuracies obtained by iRNA-m5U is promising, indicating that it holds the potential to become an useful tool for the identification of m⁵U sites.