RNApuzzler: efficient outerplanar drawing of RNA-secondary structures.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
15 04 2019
Historique:
received: 09 04 2018
revised: 09 08 2018
accepted: 18 09 2018
pubmed: 22 9 2018
medline: 19 2 2020
entrez: 22 9 2018
Statut: ppublish

Résumé

RNA secondary structure is a useful representation for studying the function of RNA, which captures most of the free energy of RNA folding. Using empirically determined energy parameters, secondary structures of nucleic acids can be efficiently computed by recursive algorithms. Several software packages supporting this task are readily available. As RNA secondary structures are outerplanar graphs, they can be drawn without intersection in the plane. Interpretation by the practitioner is eased when these drawings conform to a series of additional constraints beyond outerplanarity. These constraints are the reason why RNA drawing is difficult. Many RNA drawing algorithms therefore do not always produce intersection-free (outerplanar) drawings. To remedy this shortcoming we propose here the RNApuzzler algorithm which is guaranteed to produce intersection-free drawings. It is based on a drawing algorithm respecting constraints based on nucleotide distances (RNAturtle). We investigate relaxations of these constraints allowing for intersection-free drawings. Based on these relaxations, we implemented a fully automated, simple, and robust algorithm that produces aesthetic drawings adhering to previously established guidelines. We tested our algorithm using the RFAM database and found that we can compute intersection-free drawings of all RNAs therein efficiently. The software can be accessed freely at: https://github.com/dwiegreffe/RNApuzzler. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 30239566
pii: 5102870
doi: 10.1093/bioinformatics/bty817
doi:

Substances chimiques

RNA 63231-63-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1342-1349

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Daniel Wiegreffe (D)

Image and Signal Processing Group, Department of Computer Science, Leipzig University, Leipzig, Germany.
Bioinformatics Group, Department of Computer Science, Leipzig University, Leipzig, Germany.

Daniel Alexander (D)

Image and Signal Processing Group, Department of Computer Science, Leipzig University, Leipzig, Germany.

Peter F Stadler (PF)

Bioinformatics Group, Department of Computer Science, Leipzig University, Leipzig, Germany.

Dirk Zeckzer (D)

Image and Signal Processing Group, Department of Computer Science, Leipzig University, Leipzig, Germany.

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Classifications MeSH