Lightweight comparison of RNAs based on exact sequence-structure matches.
BACKGROUND
Specific functions of ribonucleic acid (RNA) molecules are often associated with different motifs in the RNA structure. The key feature that forms such an RNA motif is the combination of sequence and structure properties. In this article, we introduce a new RNA sequence-structure comparison method which maintains exact matching substructures. Existing common substructures are treated as whole unit while variability is allowed between such structural motifs. Based on a fast detectable set of overlapping and crossing substructure matches for two nested RNA secondary structures, our method ExpaRNA (exact pattern of alignment of RNA) computes the longest collinear sequence of substructures common to two RNAs in O(H.nm) time and O(nm) space, where H << n.m for real RNA structures. Applied to different RNAs, our method correctly identifies sequence-structure similarities between two RNAs.


RESULTS
We have compared ExpaRNA with two other alignment methods that work with given RNA structures, namely RNAforester and RNA_align. The results are in good agreement, but can be obtained in a fraction of running time, in particular for larger RNAs. We have also used ExpaRNA to speed up state-of-the-art Sankoff-style alignment tools like LocARNA, and observe a tradeoff between quality and speed. However, we get a speedup of 4.25 even in the highest quality setting, where the quality of the produced alignment is comparable to that of LocARNA alone.


BACKGROUND
The presented algorithm is implemented in the program ExpaRNA, which is available from our website (http://www.bioinf.uni-freiburg.de/Software).
Heyne
Steffen
S
Bioinformatics Group, Albert-Ludwigs-University Freiburg, Georges-Koehler-Allee 106, Freiburg, D-79110, Germany.
Will
Sebastian
S
Beckstette
Michael
M
Backofen
Rolf
R
D001483:Base Sequence; D019295:Computational Biology / Q000379:methods*; D009690:Nucleic Acid Conformation; D012313:RNA / Q000737:chemistry*; D016415:Sequence Alignment / Q000379:methods; D017423:Sequence Analysis, RNA / Q000379:methods*
D012313:RNA