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Bi-alignments as models of incongruent evolution of RNA sequence and secondary structure

  • Maria Waldl
  • , Sebastian Will
  • , Michael T. Wolfinger
  • , Ivo L. Hofacker
  • , Peter F. Stadler
  • University of Vienna
  • University of Leipzig
  • Max Planck Institute for Mathematics in the Sciences
  • Universidad Nacional de Colombia
  • Santa Fe Institute

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

RNA molecules may be subject to independent selection pressures on sequence and structure. This can, in principle, lead to the preservation of structural features without maintaining the exact position on the conserved sequence. Consequently, structurally analogous base pairs are no longer formed by homologous bases, and homologous nucleotides do not preserve their structural context. In other words, the evolution of sequence and structure is incongruent. We model this phenomenon by introducing bi-alignments, defined as a pair of alignments, one modeling sequence homology; the other, structural homology, together with an alignment of the two alignments that models the relative shifts between conserved sequence and conserved structure. Bi-alignments therefore form a special class of four-way alignments. A preliminary survey of the Rfam database suggests that incongruent evolution is not a very rare phenomenon among structured ncRNAs and RNA elements.

langue originaleAnglais
titreComputational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Revised Selected Papers
rédacteurs en chefPaolo Cazzaniga, Daniela Besozzi, Ivan Merelli, Luca Manzoni
EditeurSpringer Science and Business Media Deutschland GmbH
Pages159-170
Nombre de pages12
ISBN (imprimé)9783030630607
Les DOIs
étatPublié - 1 janv. 2020
Modification externeOui
Evénement16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 - Bergamo, Italie
Durée: 4 sept. 20196 sept. 2019

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12313 LNBI
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019
Pays/TerritoireItalie
La villeBergamo
période4/09/196/09/19

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