Rfam 14: expanded coverage of metagenomic, viral and microRNA families

Ioanna Kalvari(European Bioinformatics Institute), Eric P. Nawrocki(National Institutes of Health), Nancy Ontiveros‐Palacios(European Bioinformatics Institute), Joanna Argasinska(European Bioinformatics Institute), Kevin Lamkiewicz(Friedrich Schiller University Jena), Manja Marz(Friedrich Schiller University Jena), Sam Griffiths‐Jones(University of Manchester), Claire Toffano‐Nioche(Centre National de la Recherche Scientifique), Daniel Gautheret(Centre National de la Recherche Scientifique), Zasha Weinberg(Leipzig University), Elena Rivas(Harvard University), Sean R. Eddy(Howard Hughes Medical Institute), ROBERT FINN(European Bioinformatics Institute), Alex Bateman(European Bioinformatics Institute), Anton I. Petrov(European Bioinformatics Institute)
Nucleic Acids Research
October 21, 2020
Cited by 1,130Open Access
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Abstract

Rfam is a database of RNA families where each of the 3444 families is represented by a multiple sequence alignment of known RNA sequences and a covariance model that can be used to search for additional members of the family. Recent developments have involved expert collaborations to improve the quality and coverage of Rfam data, focusing on microRNAs, viral and bacterial RNAs. We have completed the first phase of synchronising microRNA families in Rfam and miRBase, creating 356 new Rfam families and updating 40. We established a procedure for comprehensive annotation of viral RNA families starting with Flavivirus and Coronaviridae RNAs. We have also increased the coverage of bacterial and metagenome-based RNA families from the ZWD database. These developments have enabled a significant growth of the database, with the addition of 759 new families in Rfam 14. To facilitate further community contribution to Rfam, expert users are now able to build and submit new families using the newly developed Rfam Cloud family curation system. New Rfam website features include a new sequence similarity search powered by RNAcentral, as well as search and visualisation of families with pseudoknots. Rfam is freely available at https://rfam.org.


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