Rfam 15: RNA families database in 2025

The Rfam database, a widely used repository of non-coding RNA families, has undergone significant updates in release 15.0. This paper introduces major improvements, including the expansion of Rfamseq to 26 106 genomes, a 76% increase, incorporating the latest UniProt reference proteomes and additional viral genomes. Sixty-five RNA families were enhanced using experimentally determined 3D structures, improving the accuracy of consensus secondary structures and annotations. R-scape covariation analysis was used to refine structural predictions in 26 families. Gene Ontology (GO) and Sequence Ontology annotations were comprehensively updated, increasing GO term coverage to 75% of families. The release adds 14 new Hepatitis C Virus RNA families and completes microRNA family synchronization with miRBase, resulting in 1603 microRNA families. New data types, including FULL alignments, have been implemented. Integration with APICURON for improved curator attribution and multiple website enhancements further improve user experience. These updates significantly expand Rfam's coverage and improve annotation quality, reinforcing its critical role in RNA research, genome annotation and the development of machine learning models. Rfam is freely available at https://rfam.org.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-11
DOI
https://doi.org/10.1093/nar/gkae1023
Citations
129
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
29.93

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article

Rfam 15: RNA families database in 2025

Sam Griffiths‐Jones, Anton I. Petrov, Eric P. Nawrocki, Blake Sweeney et al.
129 citations
Nucleic Acids Research
RNA modifications and cancer
29.93
article

Rfam 15: RNA families database in 2025

Sam Griffiths‐Jones, Anton I. Petrov, Eric P. Nawrocki, Blake Sweeney, Emma J. Cooke, Sandra Triebel, Manja Marz, Elena Rivas, Alex Bateman, Nancy Ontiveros‐Palacios
article en
129 citations

Abstract

The Rfam database, a widely used repository of non-coding RNA families, has undergone significant updates in release 15.0. This paper introduces major improvements, including the expansion of Rfamseq to 26 106 genomes, a 76% increase, incorporating the latest UniProt reference proteomes and additional viral genomes. Sixty-five RNA families were enhanced using experimentally determined 3D structures, improving the accuracy of consensus secondary structures and annotations. R-scape covariation analysis was used to refine structural predictions in 26 families. Gene Ontology (GO) and Sequence Ontology annotations were comprehensively updated, increasing GO term coverage to 75% of families. The release adds 14 new Hepatitis C Virus RNA families and completes microRNA family synchronization with miRBase, resulting in 1603 microRNA families. New data types, including FULL alignments, have been implemented. Integration with APICURON for improved curator attribution and multiple website enhancements further improve user experience. These updates significantly expand Rfam's coverage and improve annotation quality, reinforcing its critical role in RNA research, genome annotation and the development of machine learning models. Rfam is freely available at https://rfam.org.

Nucleic Acids ResearchVol. 53(D1)
National Institutes of Health (US), European Bioinformatics Institute (GB), Harvard University (US), Innovate UK (GB), University of Manchester (GB), National Center for Biotechnology Information (US), Friedrich Schiller University Jena (DE)
Wellcome Trust, European Bioinformatics Institute, National Institutes of Health, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 0%
RNA modifications and cancer
29.93
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