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The RNAz web server: prediction of thermodynamically stable and evolutionarily conserved RNA structures
Andreas R Gruber1, Richard Neuböck, Ivo L Hofacker
1Institute for Theoretical Chemistry, University of Vienna, Währingerstrasse 17, 1090 Vienna, Austria.
This study introduces RNAz, a web server for predicting functional RNA secondary structures using thermodynamic stability and evolutionary conservation in nucleotide sequences. It enables automated analysis of alignments and large genomic regions for RNA structure detection.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Functional RNAs, including non-coding RNA genes and mRNA regulatory elements, rely on specific RNA secondary structures.
- Predicting these functional structures is crucial for understanding gene regulation and RNA function.
- Thermodynamic stability and evolutionary conservation are key indicators for identifying functional RNA structures.
Purpose of the Study:
- To develop and present a web server implementing the RNAz algorithm for detecting functional RNA secondary structures.
- To provide a comprehensive and automated pipeline for analyzing nucleotide sequence alignments.
- To facilitate the screening of large genomic regions for potential functional RNA structures.
Main Methods:
- Utilizing the RNAz algorithm, which leverages thermodynamic stability and evolutionary conservation.
- Processing multiple nucleotide sequence alignments in various formats.
- Implementing a fully automatic analysis pipeline for both single alignments and large-scale genomic screens.
Main Results:
- A web server (rna.tbi.univie.ac.at/RNAz) is now available for predicting functional RNA structures.
- The server offers automated analysis of sequence alignments and genomic regions.
- Results are presented with visual structure representations and are downloadable for local analysis.
Conclusions:
- The RNAz web server provides an efficient and accessible tool for identifying functional RNA secondary structures.
- Automated analysis of alignments and genomic regions aids in discovering novel functional RNAs.
- Integration of thermodynamic and evolutionary data enhances the accuracy of RNA structure prediction.
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