Estimating the power of sequence covariation for detecting conserved RNA structure.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 05 2020
Historique:
received: 02 12 2019
revised: 22 01 2020
accepted: 29 01 2020
pubmed: 8 2 2020
medline: 30 10 2020
entrez: 8 2 2020
Statut: ppublish

Résumé

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. The R-scape web server is at eddylab.org/R-scape, with a link to download the source code. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 32031582
pii: 5729989
doi: 10.1093/bioinformatics/btaa080
pmc: PMC7214042
doi:

Substances chimiques

RNA, Long Noncoding 0
RNA 63231-63-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3072-3076

Subventions

Organisme : Howard Hughes Medical Institute
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

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Auteurs

Elena Rivas (E)

Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.

Jody Clements (J)

Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.

Sean R Eddy (SR)

Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.

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Classifications MeSH