Simple fast algorithms for the editing distance between trees and related problems
SIAM Journal on Computing
Alignment of trees: an alternative to tree edit
Theoretical Computer Science
The Tree-to-Tree Correction Problem
Journal of the ACM (JACM)
Edit distance between two RNA structures
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Computing similarity between RNA structures
Theoretical Computer Science
The longest common subsequence problem for sequences with nested arc annotations
Journal of Computer and System Sciences - Computational biology 2002
Computing the Edit-Distance between Unrooted Ordered Trees
ESA '98 Proceedings of the 6th Annual European Symposium on Algorithms
Algorithms and complexity for annotated sequence analysis
Algorithms and complexity for annotated sequence analysis
On the computational complexity of 2-interval pattern matching problems
Theoretical Computer Science
Approximating the 2-interval pattern problem
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Fast Arc-Annotated Subsequence Matching in Linear Space
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Comparing RNA structures: towards an intermediate model between the edit and the LAPCS problems
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A new algorithm for aligning nested arc-annotated sequences under arbitrary weight schemes
Theoretical Computer Science
Forest alignment with affine gaps and anchors
CPM'11 Proceedings of the 22nd annual conference on Combinatorial pattern matching
Extending the hardness of RNA secondary structure comparison
ESCAPE'07 Proceedings of the First international conference on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies
Forest alignment with affine gaps and anchors, applied in RNA structure comparison
Theoretical Computer Science
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We describe a new unifying framework to express comparison of arc-annotated sequences, which we call alignment of arc-annotated sequences. We first prove that this framework encompasses main existing models, which allows us to deduce complexity results for several cases from the literature. We also show that this framework gives rise to new relevant problems that have not been studied yet. We provide a thorough analysis of these novel cases by proposing two polynomial time algorithms and an NP-completeness proof. This leads to an almost exhaustive study of alignment of arc-annotated sequences.