Many biologically important RNA structures are conserved in evolution leading to characteristic mutational patterns. RNAalifold is a widely used program to predict consensus secondary structures in multiple alignments by combining evolutionary information with traditional energy-based RNA folding algorithms. Here we describe the theory and applications of the RNAalifold algorithm. Consensus secondary structure prediction not only leads to significantly more accurate structure models, but it also allows to studystructural conservation of functional RNAs.
CITATION STYLE
Washietl, S., Bernhart, S. H., & Kellis, M. (2014). Energy-based RNA consensus secondary structure prediction in multiple sequence alignments. In Methods in Molecular Biology (Vol. 1097, pp. 125–141). Humana Press Inc. https://doi.org/10.1007/978-1-62703-709-9_7
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