e-RNA: a collection of web-servers for the prediction and visualisation of RNA secondary structure and their functional features

Author:

Tsybulskyi Volodymyr12,Semenchenko Egor12,Meyer Irmtraud M123ORCID

Affiliation:

1. Laboratory of Bioinformatics of RNA Structure and Transcriptome Regulation, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine , Robert-Rössle-Str. 10, 13125 Berlin, Germany

2. Department of Biology, Chemistry and Pharmacy, Institute of Chemistry and Biochemistry , Thielallee 63, Freie Universität Berlin, 14195 Berlin, Germany

3. Department of Mathematics and Computer Science, Institute of Computer Science , Takustraße 9, Freie Universität Berlin, 14195 Berlin, Germany

Abstract

Abstract e-RNA is a collection of web-servers for the prediction and visualisation of RNA secondary structures and their functional features, including in particular RNA–RNA interactions. In this updated version, we have added novel tools for RNA secondary structure prediction and have significantly updated the visualisation functionality. The new method CoBold can identify transient RNA structure features and their potential functional effects on a known RNA structure during co-transcriptional structure formation. New tool ShapeSorter can predict evolutionarily conserved RNA secondary structure features while simultaneously taking experimental SHAPE probing evidence into account. The web-server R-Chie which visualises RNA secondary structure information in terms of arc diagrams, can now be used to also visualise and intuitively compare RNA–RNA, RNA–DNA and DNA–DNA interactions alongside multiple sequence alignments and quantitative information. The prediction generated by any method in e-RNA can be readily visualised on the web-server. For completed tasks, users can download their results and readily visualise them later on with R-Chie without having to re-run the predictions. e-RNA can be found at http://www.e-rna.org.

Funder

Helmholtz-Gemeinschaft

Publisher

Oxford University Press (OUP)

Subject

Genetics

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