R2DT is a framework for predicting and visualising RNA secondary structure using templates

Author:

Sweeney Blake A.,Hoksza DavidORCID,Nawrocki Eric P.,Ribas Carlos EduardoORCID,Madeira FábioORCID,Cannone Jamie J.,Gutell Robin,Maddala Aparna,Meade Caeden D.,Williams Loren DeanORCID,Petrov Anton S.ORCID,Chan Patricia P.ORCID,Lowe Todd M.,Finn Robert D.ORCID,Petrov Anton I.ORCID

Abstract

AbstractNon-coding RNAs (ncRNA) are essential for all life, and their functions often depend on their secondary (2D) and tertiary structure. Despite the abundance of software for the visualisation of ncRNAs, few automatically generate consistent and recognisable 2D layouts, which makes it challenging for users to construct, compare and analyse structures. Here, we present R2DT, a method for predicting and visualising a wide range of RNA structures in standardised layouts. R2DT is based on a library of 3,647 templates representing the majority of known structured RNAs. R2DT has been applied to ncRNA sequences from the RNAcentral database and produced >13 million diagrams, creating the world’s largest RNA 2D structure dataset. The software is amenable to community expansion, and is freely available at https://github.com/rnacentral/R2DT and a web server is found at https://rnacentral.org/r2dt.

Funder

This work was supported by the Intramural Research Program of the National Library of Medicine at the NIH

NASA | NASA Astrobiology Institute

Wellcome Trust

RCUK | Biotechnology and Biological Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Reference68 articles.

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