Evidence map›Paper›PMID 41812046›Full record

ArticleBioinformatics (Oxford, England)2026

mirtronDB 2.0: enhanced database with novel mirtron discoveries.

Fabiana Rodrigues de Goes, Matheus Fujimura Soares, Vitor Gregorio, Bruno Thiago de Lima Nichio, Alisson Gaspar Chiquitto, Flavia Lombardi Lopes, Mark Basham, Douglas Silva Domingues, Alexandre Rossi Paschoal

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fabiana Rodrigues de GoesRosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot, OX11 0QS, United Kingdom.ORCID 0000-0002-2423-1132
Matheus Fujimura SoaresSchool of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, 16050-680, Brazil.ORCID 0000-0001-8444-1898
Vitor GregorioDepartment of Computer Science, Federal University of Technology-Parana, Cornelio Procopio, 86300-000, Brazil.ORCID 0000-0003-0331-3435
Bruno Thiago de Lima NichioDepartment of Computer Science, Federal University of Technology-Parana, Cornelio Procopio, 86300-000, Brazil.ORCID 0000-0002-0196-6486
Alisson Gaspar ChiquittoDepartment of Computer Science, Federal University of Technology-Parana, Cornelio Procopio, 86300-000, Brazil.ORCID 0000-0002-8534-0674
Flavia Lombardi LopesSchool of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, 16050-680, Brazil.ORCID 0000-0002-3173-3712
Mark BashamRosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot, OX11 0QS, United Kingdom.ORCID 0000-0002-8438-1415
Douglas Silva DominguesDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, 13418-900, Brazil.ORCID 0000-0002-1290-0853
Alexandre Rossi PaschoalRosalind Franklin Institute, Harwell Science and Innovation Campus, Didcot, OX11 0QS, United Kingdom.ORCID 0000-0002-8887-0582

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
6 · The paper itself

Abstract

motivationMirtronDB 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.

resultsHere, 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.

Indexed as

Computational BiologyDatabases, GeneticDatabases, Nucleic AcidAnimalsBiocurationHumansInternetMicroRNAsSoftwareMicroRNAs

Identifiers

PMID41812046
PMCPMC13110858

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.