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The RNA shapes studio

Motivation: Abstract shape analysis, first proposed in 2004, allows one to extract several relevant structures from the folding space of an RNA sequence, preferable to focusing in a single structure of minimal free energy. We report recent extensions to this approach. Results: We have rebuilt the or...

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Detalles Bibliográficos
Autores principales: Janssen, Stefan, Giegerich, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308662/
https://www.ncbi.nlm.nih.gov/pubmed/25273103
http://dx.doi.org/10.1093/bioinformatics/btu649
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author Janssen, Stefan
Giegerich, Robert
author_facet Janssen, Stefan
Giegerich, Robert
author_sort Janssen, Stefan
collection PubMed
description Motivation: Abstract shape analysis, first proposed in 2004, allows one to extract several relevant structures from the folding space of an RNA sequence, preferable to focusing in a single structure of minimal free energy. We report recent extensions to this approach. Results: We have rebuilt the original RNAshapes as a repository of components that allows us to integrate several established tools for RNA structure analysis: RNAshapes, RNAalishapes and pknotsRG, including its recent extension pKiss. As a spin-off, we obtain heretofore unavailable functionality: e. g. with pKiss, we can now perform abstract shape analysis for structures holding pseudoknots up to the complexity of kissing hairpin motifs. The new tool pAliKiss can predict kissing hairpin motifs from aligned sequences. Along with the integration, the functionality of the tools was also extended in manifold ways. Availability and implementation: As before, the tool is available on the Bielefeld Bioinformatics server at http://bibiserv.cebitec.uni-bielefeld.de/rnashapesstudio. Contact: bibi-help@cebitec.uni-bielefeld.de
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spelling pubmed-43086622015-02-24 The RNA shapes studio Janssen, Stefan Giegerich, Robert Bioinformatics Applications Notes Motivation: Abstract shape analysis, first proposed in 2004, allows one to extract several relevant structures from the folding space of an RNA sequence, preferable to focusing in a single structure of minimal free energy. We report recent extensions to this approach. Results: We have rebuilt the original RNAshapes as a repository of components that allows us to integrate several established tools for RNA structure analysis: RNAshapes, RNAalishapes and pknotsRG, including its recent extension pKiss. As a spin-off, we obtain heretofore unavailable functionality: e. g. with pKiss, we can now perform abstract shape analysis for structures holding pseudoknots up to the complexity of kissing hairpin motifs. The new tool pAliKiss can predict kissing hairpin motifs from aligned sequences. Along with the integration, the functionality of the tools was also extended in manifold ways. Availability and implementation: As before, the tool is available on the Bielefeld Bioinformatics server at http://bibiserv.cebitec.uni-bielefeld.de/rnashapesstudio. Contact: bibi-help@cebitec.uni-bielefeld.de Oxford University Press 2015-02-01 2014-10-01 /pmc/articles/PMC4308662/ /pubmed/25273103 http://dx.doi.org/10.1093/bioinformatics/btu649 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Janssen, Stefan
Giegerich, Robert
The RNA shapes studio
title The RNA shapes studio
title_full The RNA shapes studio
title_fullStr The RNA shapes studio
title_full_unstemmed The RNA shapes studio
title_short The RNA shapes studio
title_sort rna shapes studio
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308662/
https://www.ncbi.nlm.nih.gov/pubmed/25273103
http://dx.doi.org/10.1093/bioinformatics/btu649
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