Estimating the power of sequence covariation for detecting conserved RNA structure

Author:

Rivas Elena1ORCID,Clements Jody2,Eddy Sean R134

Affiliation:

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

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

3. Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA

4. John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA

Abstract

Abstract 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.

Funder

Howard Hughes Medical Institute

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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