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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7214042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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