{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:02:45Z","timestamp":1773097365328,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1013663","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T00:00:00Z","timestamp":1762473600000}}],"reference-count":44,"publisher":"Public Library of Science (PLoS)","issue":"11","license":[{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2130884"],"award-info":[{"award-number":["2130884"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2450802"],"award-info":[{"award-number":["2450802"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000268","name":"Biotechnology and Biological Sciences Research Council","doi-asserted-by":"publisher","award":["BB\/W018438\/1"],"award-info":[{"award-number":["BB\/W018438\/1"]}],"id":[{"id":"10.13039\/501100000268","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011568","name":"Huck Institutes of the Life Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011568","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    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\n                    <jats:italic>MIRNA<\/jats:italic>\n                    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\n                    <jats:italic>MIRNA<\/jats:italic>\n                    annotations, highlighting the need for more robust validation methods. miRScore was developed as an independent and efficient tool for evaluating new\n                    <jats:italic>MIRNA<\/jats:italic>\n                    annotations using sRNA-seq data. miRScore combines structural and expression-based analyses to provide rapid and reliable validation of new\n                    <jats:italic>MIRNA<\/jats:italic>\n                    annotations. By providing users with detailed metrics and visualization, miRScore enhances the ability to assess confidence in\n                    <jats:italic>MIRNA<\/jats:italic>\n                    annotations. miRScore has the potential to advance the overall quality of\n                    <jats:italic>MIRNA<\/jats:italic>\n                    annotations by improving accuracy of new submissions to miRNA databases and serving as a resource for re-evaluating existing annotations.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1013663","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T21:01:08Z","timestamp":1762203668000},"page":"e1013663","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":3,"title":["miRScore: A rapid and precise microRNA validation 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