TY - GEN
T1 - Lightweight comparison of RNAs based on exact sequence-structure matches
AU - Heyne, Steffen
AU - Will, Sebastian
AU - Beckstette, Michael
AU - Backofen, Rolf
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Specific functions of 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 paper 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 computes the longest colinear sequence of substructures common to two RNAs in O(n2m2) time and O(nm) space. Applied to different RNAs, our method correctly identifies sequence-structure similarities between two RNAs. The results of our experiments are in good agreement with existing alignment-based methods, but can be obtained in a fraction of running time, in particular for larger RNAs. The proposed algorithm is implemented in the program expaRNA, which is available from our website (www.bioinf.uni- freiburg.de/Software).
AB - Specific functions of 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 paper 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 computes the longest colinear sequence of substructures common to two RNAs in O(n2m2) time and O(nm) space. Applied to different RNAs, our method correctly identifies sequence-structure similarities between two RNAs. The results of our experiments are in good agreement with existing alignment-based methods, but can be obtained in a fraction of running time, in particular for larger RNAs. The proposed algorithm is implemented in the program expaRNA, which is available from our website (www.bioinf.uni- freiburg.de/Software).
UR - https://www.scopus.com/pages/publications/84871227271
M3 - Conference contribution
AN - SCOPUS:84871227271
SN - 9783885792260
T3 - Proceedings of the German Conference on Bioinformatics, GCB 2008
SP - 189
EP - 199
BT - Proceedings of the German Conference on Bioinformatics, GCB 2008
T2 - German Conference on Bioinformatics, GCB 2008
Y2 - 9 September 2008 through 12 September 2008
ER -