mirtronDB 2.0: enhanced database with novel mirtron discoveries.

MOTIVATION: MirtronDB provides a comprehensive and up-to-date resource for advancing mirtron research within RNA biology. Therefore, maintaining a specialized and continuously updated resource for mirtrons is essential to support ongoing discoveries and to serve as a key reference for researchers investigating the roles of mirtrons. RESULTS: Here, we present mirtronDB 2.0, an enhanced version that expands both content and functionality. This version integrates mirtron data published between 2017 and 2025, increasing the number of documented mirtrons across various species. In addition, it incorporates newly predicted mirtrons identified through a robust pipeline that combines advanced bioinformatics and machine learning approaches, with specific coverage of six mammalian species. We have introduced new website features, including an interactive dashboard to enhance usability and facilitate intuitive data exploration. These rigorous updates consolidate mirtronDB as a key resource for mirtron to the RNA biology community. AVAILABILITY AND IMPLEMENTATION: mirtronDB can be found under http://mirtrondb.cp.utfpr.edu.br/. The complete content of Database 2.0 and the source code for the analyses are also freely available in the FigShare repository: https://figshare.com/articles/dataset/MirtronDB_version2/29344775. CONTACT: Corresponding authors: Alexandre Rossi Paschoal, Rosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot, OX11 0QS, UK; Department of Computer Science, Federal University of Technology-Parana, Cornelio Procopio, Brazil. Email: [email protected] or [email protected]; Douglas Silva Domingues, Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil. Email: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.