Estimating the power of sequence covariation for detecting conserved RNA structure
Author(s) -
Elena Rivas,
Jody Clements,
Sean R. Eddy
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa080
Subject(s) - pairwise comparison , source code , rna , conserved sequence , biology , sequence (biology) , computational biology , code (set theory) , computer science , coding (social sciences) , genetics , statistics , base sequence , mathematics , artificial intelligence , dna , set (abstract data type) , gene , programming language , operating system
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.
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