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R2DT is a framework for predicting and visualising RNA secondary structure using templates
Non-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 us...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190129/ https://www.ncbi.nlm.nih.gov/pubmed/34108470 http://dx.doi.org/10.1038/s41467-021-23555-5 |
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author | Sweeney, Blake A. Hoksza, David Nawrocki, Eric P. Ribas, Carlos Eduardo Madeira, Fábio Cannone, Jamie J. Gutell, Robin Maddala, Aparna Meade, Caeden D. Williams, Loren Dean Petrov, Anton S. Chan, Patricia P. Lowe, Todd M. Finn, Robert D. Petrov, Anton I. |
author_facet | Sweeney, Blake A. Hoksza, David Nawrocki, Eric P. Ribas, Carlos Eduardo Madeira, Fábio Cannone, Jamie J. Gutell, Robin Maddala, Aparna Meade, Caeden D. Williams, Loren Dean Petrov, Anton S. Chan, Patricia P. Lowe, Todd M. Finn, Robert D. Petrov, Anton I. |
author_sort | Sweeney, Blake A. |
collection | PubMed |
description | Non-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. |
format | Online Article Text |
id | pubmed-8190129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81901292021-07-01 R2DT is a framework for predicting and visualising RNA secondary structure using templates Sweeney, Blake A. Hoksza, David Nawrocki, Eric P. Ribas, Carlos Eduardo Madeira, Fábio Cannone, Jamie J. Gutell, Robin Maddala, Aparna Meade, Caeden D. Williams, Loren Dean Petrov, Anton S. Chan, Patricia P. Lowe, Todd M. Finn, Robert D. Petrov, Anton I. Nat Commun Article Non-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. Nature Publishing Group UK 2021-06-09 /pmc/articles/PMC8190129/ /pubmed/34108470 http://dx.doi.org/10.1038/s41467-021-23555-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sweeney, Blake A. Hoksza, David Nawrocki, Eric P. Ribas, Carlos Eduardo Madeira, Fábio Cannone, Jamie J. Gutell, Robin Maddala, Aparna Meade, Caeden D. Williams, Loren Dean Petrov, Anton S. Chan, Patricia P. Lowe, Todd M. Finn, Robert D. Petrov, Anton I. R2DT is a framework for predicting and visualising RNA secondary structure using templates |
title | R2DT is a framework for predicting and visualising RNA secondary structure using templates |
title_full | R2DT is a framework for predicting and visualising RNA secondary structure using templates |
title_fullStr | R2DT is a framework for predicting and visualising RNA secondary structure using templates |
title_full_unstemmed | R2DT is a framework for predicting and visualising RNA secondary structure using templates |
title_short | R2DT is a framework for predicting and visualising RNA secondary structure using templates |
title_sort | r2dt is a framework for predicting and visualising rna secondary structure using templates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190129/ https://www.ncbi.nlm.nih.gov/pubmed/34108470 http://dx.doi.org/10.1038/s41467-021-23555-5 |
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