
doi: 10.1109/tcbb.2008.28
pmid: 20431150
We describe a theoretical unifying framework to express the comparison of RNA structures, which we call alignment hierarchy. This framework relies on the definition of common supersequences for arc-annotated sequences and encompasses the main existing models for RNA structure comparison based on trees and arc-annotated sequences with a variety of edit operations. It also gives rise to edit models that have not been studied yet. We provide a thorough analysis of the alignment hierarchy, including a new polynomial-time algorithm and an NP-completeness proof. The polynomial-time algorithm involves biologically relevant edit operations such as pairing or unpairing nucleotides. It has been implemented in a software, called gardenia, which is available at the Web server http://bioinfo.lifl.fr/RNA/gardenia.
[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 000, Base Sequence, Models, Genetic, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Sequence Data, Computational Biology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 004, Genes, Bacterial, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Nucleic Acid Conformation, RNA, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Molecular Biology, Sequence Alignment, Algorithms, Software, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 000, Base Sequence, Models, Genetic, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Sequence Data, Computational Biology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 004, Genes, Bacterial, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Nucleic Acid Conformation, RNA, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Molecular Biology, Sequence Alignment, Algorithms, Software, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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