Accurate multiple sequence-structure alignment of RNA sequences using combinatorial optimization
Bauer, Markus ;  Klau, Gunnar W. ;  Reinert, Knut ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleAccurate multiple sequence-structure alignment of RNA sequences using combinatorial optimization
AuthorBauer, Markus
AuthorKlau, Gunnar W.
AuthorReinert, Knut
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages30 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; [20]07,06
Classification (DDC)005 Computer programming, programs, data
AbstractBackground: The discovery of functional non-coding RNA sequences has led to an increasing interest in algorithms related to RNA analysis. Traditional sequence alignment algorithms, however, fail at computing reliable alignments of low-homology RNA sequences. The spatial conformation of RNA sequences largely determines their function, and therefore RNA alignment algorithms have to take structural information into account.

Results: We present a graph-based representation for sequence-structure alignments, which we model as an integer linear program (ILP). We sketch how we compute an optimal or near-optimal solution to the ILP using methods from combinatorial optimization, and present results on a recently published benchmark set for RNA

Conclusions: The implementation of our algorithm yields better alignments in terms of two published scores than the other programs that we tested: This is especially the case with an increasing number of input sequences. Our program LaRA is freely available from http://www.planet-lisa.net.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2007
Type of documentMaps
Terms of use/Rights Nutzungsbedingungen
Created at2009-10-14 : 12:38:05
Last changed2015-01-22 : 04:42:29
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000003915