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Article Dans Une Revue Theoretical Computer Science Année : 2011

A new algorithm for aligning nested arc-annotated sequences under arbitrary weight schemes

Résumé

In this paper, we propose a new algorithm for the alignment of nested arc-annotated sequences, having applications in the comparison of RNA secondary structures without pseudo-knots. We use a general edit distance model between arc-annotated sequences, that considers classical sequences of edit operations and structural edit operations on arcs. In this model, the general edit distance problem under a non-constrained weight scheme, is NP-hard. Recently, a hierarchy of arc-annotated sequence alignment problems that highlights less general, but tractable, problems was introduced. We refine this hierarchy of alignment problems and extend the class of tractable alignment problems. Up to date, the alignment problem we solve is the most general one that is known to be tractable in the considered edit distance model and under arbitrary weight schemes. This algorithm is efficient, as its asymptotic time and space complexities are the same as the complexities of the best previously published algorithm.

Dates et versions

inria-00635043 , version 1 (24-10-2011)

Identifiants

Citer

Aïda Ouangraoua, Valentin Guignon, Hamel Sylvie, Cedric Chauve. A new algorithm for aligning nested arc-annotated sequences under arbitrary weight schemes. Theoretical Computer Science, 2011, 412 (8-10), pp.753-764. ⟨10.1016/j.tcs.2010.11.020⟩. ⟨inria-00635043⟩
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