Drawing and Editing the Secondary Structure(s) of RNA.

Yann Ponty 1, 2, 3 Fabrice Leclerc 4
2 AMIB - Algorithms and Models for Integrative Biology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, Polytechnique - X, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Secondary structure diagrams are essential, in RNA biology, to communicate functional hypotheses and summarize structural data, and communicate them visually as drafts or finalized publication-ready figures. While many tools are currently available to automate the production of such diagrams, their capacities are usually partial, making it hard for a user to decide which to use in a given context. In this chapter, we guide the reader through the steps involved in the production of expressive publication-quality illustrations featuring the RNA secondary structure. We present major existing representations and layouts, and give precise instructions to produce them using available free software, including jViz.RNA, the PseudoViewer, RILogo, R-chie, RNAplot, R2R, and VARNA. We describe the file formats and structural descriptions accepted by popular RNA visualization tools. We also provide command lines and Python scripts to ease the user's access to advanced features. Finally, we discuss and illustrate alternative approaches to visualize the secondary structure in the presence of probing data, pseudoknots, RNA-RNA interactions, and comparative data.
Type de document :
Chapitre d'ouvrage
Ernesto Picardi. RNA Bioinformatics, 1269, Springer New York, pp.63-100, 2015, Methods in Molecular Biology, 978-1-4939-2290-1. <10.1007/978-1-4939-2291-8_5>
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Soumis le : mardi 31 mars 2015 - 16:59:33
Dernière modification le : vendredi 17 février 2017 - 16:10:26
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Yann Ponty, Fabrice Leclerc. Drawing and Editing the Secondary Structure(s) of RNA.. Ernesto Picardi. RNA Bioinformatics, 1269, Springer New York, pp.63-100, 2015, Methods in Molecular Biology, 978-1-4939-2290-1. <10.1007/978-1-4939-2291-8_5>. <hal-01079893>

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