iRNA-m5U: A sequence based predictor for identifying 5-methyluridine modification sites in Saccharomyces cerevisiae.
Journal:
Methods (San Diego, Calif.)
Published Date:
Jul 1, 2022
Abstract
The 5-methyluridine (mU)modification plays important roles in a series of biological processes. Accurate identification of mU sites will be helpful to decode its biological functions. Although experimental techniques have been proposed to detect mU, 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 mU 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 mU sites.