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Estimating the power of sequence covariation for detecting conserved RNA structure

Pairwise sequence covariations are a signal of conserved RNA secondary structure. We describe a method for distinguishing when lack of covariation signal can be taken as evidence against a conserved RNA structure, as opposed to when a sequence alignment merely has insufficient variation to detect co...

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Detalles Bibliográficos
Autores principales: Rivas, Elena, Clements, Jody, Eddy, Sean R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214042/
https://www.ncbi.nlm.nih.gov/pubmed/32031582
http://dx.doi.org/10.1093/bioinformatics/btaa080
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author Rivas, Elena
Clements, Jody
Eddy, Sean R
author_facet Rivas, Elena
Clements, Jody
Eddy, Sean R
author_sort Rivas, Elena
collection PubMed
description Pairwise sequence covariations are a signal of conserved RNA secondary structure. We describe a method for distinguishing when lack of covariation signal can be taken as evidence against a conserved RNA structure, as opposed to when a sequence alignment merely has insufficient variation to detect covariations. We find that alignments for several long non-coding RNAs previously shown to lack covariation support do have adequate covariation detection power, providing additional evidence against their proposed conserved structures. AVAILABILITY AND IMPLEMENTATION: The R-scape web server is at eddylab.org/R-scape, with a link to download the source code. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-72140422020-05-15 Estimating the power of sequence covariation for detecting conserved RNA structure Rivas, Elena Clements, Jody Eddy, Sean R Bioinformatics Original Papers Pairwise sequence covariations are a signal of conserved RNA secondary structure. We describe a method for distinguishing when lack of covariation signal can be taken as evidence against a conserved RNA structure, as opposed to when a sequence alignment merely has insufficient variation to detect covariations. We find that alignments for several long non-coding RNAs previously shown to lack covariation support do have adequate covariation detection power, providing additional evidence against their proposed conserved structures. AVAILABILITY AND IMPLEMENTATION: The R-scape web server is at eddylab.org/R-scape, with a link to download the source code. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-05-15 2020-02-07 /pmc/articles/PMC7214042/ /pubmed/32031582 http://dx.doi.org/10.1093/bioinformatics/btaa080 Text en © The Author(s) 2020. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Rivas, Elena
Clements, Jody
Eddy, Sean R
Estimating the power of sequence covariation for detecting conserved RNA structure
title Estimating the power of sequence covariation for detecting conserved RNA structure
title_full Estimating the power of sequence covariation for detecting conserved RNA structure
title_fullStr Estimating the power of sequence covariation for detecting conserved RNA structure
title_full_unstemmed Estimating the power of sequence covariation for detecting conserved RNA structure
title_short Estimating the power of sequence covariation for detecting conserved RNA structure
title_sort estimating the power of sequence covariation for detecting conserved rna structure
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214042/
https://www.ncbi.nlm.nih.gov/pubmed/32031582
http://dx.doi.org/10.1093/bioinformatics/btaa080
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