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RILogo: visualizing RNA–RNA interactions

Authors: Menzel, Karl Peter; Seemann, Ernst Stefan; Gorodkin, Jan;

RILogo: visualizing RNA–RNA interactions

Abstract

Abstract Summary: With the increasing amount of newly discovered non-coding RNAs, the interactions between RNA molecules become an increasingly important aspect for characterizing their functionality. Many computational tools have been developed to predict the formation of duplexes between two RNAs, either based on single sequences or alignments of homologous sequences. Here, we present RILogo, a program to visualize inter- and intramolecular base pairing between two RNA molecules. The input for RILogo is a pair of structure-annotated sequences or alignments. In the latter case, RILogo displays the alignments in the form of sequence logos, including the mutual information of base paired columns. We also introduce two novel mutual information based measures that weigh the covariance information by the evolutionary distances of the aligned sequences. We show that the new measures have an increased accuracy compared with previous mutual information measures. Availability and implementation: RILogo is freely available as a stand-alone program and is accessible via a web server at http://rth.dk/resources/rilogo. Contact: pmenzel@gmail.com Supplementary Information: Supplementary data are available at Bioinformatics online.

Country
Denmark
Keywords

Internet, RNA, Untranslated, Base Sequence, Sequence Analysis, RNA, Computational Biology, Molecular Sequence Annotation, Nucleic Acid Conformation, Base Pairing, Sequence Alignment, Software

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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
gold