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R-chie: a web server and R package for visualizing RNA secondary structures
Visually examining RNA structures can greatly aid in understanding their potential functional roles and in evaluating the performance of structure prediction algorithms. As many functional roles of RNA structures can already be studied given the secondary structure of the RNA, various methods have b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384350/ https://www.ncbi.nlm.nih.gov/pubmed/22434875 http://dx.doi.org/10.1093/nar/gks241 |
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author | Lai, Daniel Proctor, Jeff R. Zhu, Jing Yun A. Meyer, Irmtraud M. |
author_facet | Lai, Daniel Proctor, Jeff R. Zhu, Jing Yun A. Meyer, Irmtraud M. |
author_sort | Lai, Daniel |
collection | PubMed |
description | Visually examining RNA structures can greatly aid in understanding their potential functional roles and in evaluating the performance of structure prediction algorithms. As many functional roles of RNA structures can already be studied given the secondary structure of the RNA, various methods have been devised for visualizing RNA secondary structures. Most of these methods depict a given RNA secondary structure as a planar graph consisting of base-paired stems interconnected by roundish loops. In this article, we present an alternative method of depicting RNA secondary structure as arc diagrams. This is well suited for structures that are difficult or impossible to represent as planar stem-loop diagrams. Arc diagrams can intuitively display pseudo-knotted structures, as well as transient and alternative structural features. In addition, they facilitate the comparison of known and predicted RNA secondary structures. An added benefit is that structure information can be displayed in conjunction with a corresponding multiple sequence alignments, thereby highlighting structure and primary sequence conservation and variation. We have implemented the visualization algorithm as a web server R-chie as well as a corresponding R package called R4RNA, which allows users to run the software locally and across a range of common operating systems. |
format | Online Article Text |
id | pubmed-3384350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33843502012-06-28 R-chie: a web server and R package for visualizing RNA secondary structures Lai, Daniel Proctor, Jeff R. Zhu, Jing Yun A. Meyer, Irmtraud M. Nucleic Acids Res Methods Online Visually examining RNA structures can greatly aid in understanding their potential functional roles and in evaluating the performance of structure prediction algorithms. As many functional roles of RNA structures can already be studied given the secondary structure of the RNA, various methods have been devised for visualizing RNA secondary structures. Most of these methods depict a given RNA secondary structure as a planar graph consisting of base-paired stems interconnected by roundish loops. In this article, we present an alternative method of depicting RNA secondary structure as arc diagrams. This is well suited for structures that are difficult or impossible to represent as planar stem-loop diagrams. Arc diagrams can intuitively display pseudo-knotted structures, as well as transient and alternative structural features. In addition, they facilitate the comparison of known and predicted RNA secondary structures. An added benefit is that structure information can be displayed in conjunction with a corresponding multiple sequence alignments, thereby highlighting structure and primary sequence conservation and variation. We have implemented the visualization algorithm as a web server R-chie as well as a corresponding R package called R4RNA, which allows users to run the software locally and across a range of common operating systems. Oxford University Press 2012-07 2012-03-19 /pmc/articles/PMC3384350/ /pubmed/22434875 http://dx.doi.org/10.1093/nar/gks241 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Lai, Daniel Proctor, Jeff R. Zhu, Jing Yun A. Meyer, Irmtraud M. R-chie: a web server and R package for visualizing RNA secondary structures |
title | R-chie: a web server and R package for visualizing RNA secondary structures |
title_full | R-chie: a web server and R package for visualizing RNA secondary structures |
title_fullStr | R-chie: a web server and R package for visualizing RNA secondary structures |
title_full_unstemmed | R-chie: a web server and R package for visualizing RNA secondary structures |
title_short | R-chie: a web server and R package for visualizing RNA secondary structures |
title_sort | r-chie: a web server and r package for visualizing rna secondary structures |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384350/ https://www.ncbi.nlm.nih.gov/pubmed/22434875 http://dx.doi.org/10.1093/nar/gks241 |
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