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rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families

rfaRm is an R package providing a client-side interface for the Rfam database of non-coding RNA and other structured RNA elements. The package facilitates the search of the Rfam database by keywords or sequences, as well as the retrieval of all available information about specific Rfam families, suc...

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Autores principales: Sellés Vidal, Lara, Ayala, Rafael, Stan, Guy-Bart, Ledesma-Amaro, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810343/
https://www.ncbi.nlm.nih.gov/pubmed/33449976
http://dx.doi.org/10.1371/journal.pone.0245280
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author Sellés Vidal, Lara
Ayala, Rafael
Stan, Guy-Bart
Ledesma-Amaro, Rodrigo
author_facet Sellés Vidal, Lara
Ayala, Rafael
Stan, Guy-Bart
Ledesma-Amaro, Rodrigo
author_sort Sellés Vidal, Lara
collection PubMed
description rfaRm is an R package providing a client-side interface for the Rfam database of non-coding RNA and other structured RNA elements. The package facilitates the search of the Rfam database by keywords or sequences, as well as the retrieval of all available information about specific Rfam families, such as member sequences, multiple sequence alignments, secondary structures and covariance models. By providing such programmatic access to the Rfam database, rfaRm enables genomic workflows to incorporate information about non-coding RNA, whose potential cannot be fully exploited just through interactive access to the database. The features of rfaRm are demonstrated by using it to analyze the SARS-CoV-2 genome as an example case.
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spelling pubmed-78103432021-01-27 rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families Sellés Vidal, Lara Ayala, Rafael Stan, Guy-Bart Ledesma-Amaro, Rodrigo PLoS One Research Article rfaRm is an R package providing a client-side interface for the Rfam database of non-coding RNA and other structured RNA elements. The package facilitates the search of the Rfam database by keywords or sequences, as well as the retrieval of all available information about specific Rfam families, such as member sequences, multiple sequence alignments, secondary structures and covariance models. By providing such programmatic access to the Rfam database, rfaRm enables genomic workflows to incorporate information about non-coding RNA, whose potential cannot be fully exploited just through interactive access to the database. The features of rfaRm are demonstrated by using it to analyze the SARS-CoV-2 genome as an example case. Public Library of Science 2021-01-15 /pmc/articles/PMC7810343/ /pubmed/33449976 http://dx.doi.org/10.1371/journal.pone.0245280 Text en © 2021 Sellés Vidal et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sellés Vidal, Lara
Ayala, Rafael
Stan, Guy-Bart
Ledesma-Amaro, Rodrigo
rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
title rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
title_full rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
title_fullStr rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
title_full_unstemmed rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
title_short rfaRm: An R client-side interface to facilitate the analysis of the Rfam database of RNA families
title_sort rfarm: an r client-side interface to facilitate the analysis of the rfam database of rna families
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810343/
https://www.ncbi.nlm.nih.gov/pubmed/33449976
http://dx.doi.org/10.1371/journal.pone.0245280
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