Vanek, A. orcid.org/0009-0004-7522-9878, Griffiths-Jones, S. orcid.org/0000-0001-6043-807X, Meyers, B.C. orcid.org/0000-0003-3436-6097 et al. (2 more authors) (2025) miRScore: a rapid and precise microRNA validation tool. PLOS Computational Biology, 21 (11). e1013663. ISSN: 1553-734X
Abstract
MicroRNAs (miRNAs) are small non-protein-coding RNAs that regulate gene expression in many eukaryotes. Next-generation sequencing of small RNAs (small RNA-seq) is central to the discovery and annotation of miRNAs. Newly annotated miRNAs and their longer precursors encoded by MIRNA loci are typically submitted to databases such as the miRBase microRNA registry following the publication of a peer-reviewed study. However, genome-wide scans using small RNA-seq data often yield high rates of false-positive MIRNA annotations, highlighting the need for more robust validation methods. miRScore was developed as an independent and efficient tool for evaluating new MIRNA annotations using sRNA-seq data. miRScore combines structural and expression-based analyses to provide rapid and reliable validation of new MIRNA annotations. By providing users with detailed metrics and visualization, miRScore enhances the ability to assess confidence in MIRNA annotations. miRScore has the potential to advance the overall quality of MIRNA annotations by improving accuracy of new submissions to miRNA databases and serving as a resource for re-evaluating existing annotations.
Metadata
| Item Type: | Article |
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| Copyright, Publisher and Additional Information: | © 2025 Vanek et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | MicroRNAs; Genome annotation; RNA stem-loop structure; RNA structure; Arabidopsis thaliana; RNA sequencing; Oryza; Sequence alignment |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) |
| Date Deposited: | 05 Nov 2025 16:59 |
| Last Modified: | 05 Nov 2025 16:59 |
| Status: | Published online |
| Publisher: | Public Library of Science (PLoS) |
| Refereed: | Yes |
| Identification Number: | 10.1371/journal.pcbi.1013663 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234018 |

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