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The RNAsnp web server: predicting SNP effects on local RNA secondary structure

The function of many non-coding RNA genes and cis-regulatory elements of messenger RNA largely depends on the structure, which is in turn determined by their sequence. Single nucleotide polymorphisms (SNPs) and other mutations may disrupt the RNA structure, interfere with the molecular function and...

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Autores principales: Sabarinathan, Radhakrishnan, Tafer, Hakim, Seemann, Stefan E., Hofacker, Ivo L., Stadler, Peter F., Gorodkin, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977658/
https://www.ncbi.nlm.nih.gov/pubmed/23630321
http://dx.doi.org/10.1093/nar/gkt291
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author Sabarinathan, Radhakrishnan
Tafer, Hakim
Seemann, Stefan E.
Hofacker, Ivo L.
Stadler, Peter F.
Gorodkin, Jan
author_facet Sabarinathan, Radhakrishnan
Tafer, Hakim
Seemann, Stefan E.
Hofacker, Ivo L.
Stadler, Peter F.
Gorodkin, Jan
author_sort Sabarinathan, Radhakrishnan
collection PubMed
description The function of many non-coding RNA genes and cis-regulatory elements of messenger RNA largely depends on the structure, which is in turn determined by their sequence. Single nucleotide polymorphisms (SNPs) and other mutations may disrupt the RNA structure, interfere with the molecular function and hence cause a phenotypic effect. RNAsnp is an efficient method to predict the effect of SNPs on local RNA secondary structure based on the RNA folding algorithms implemented in the Vienna RNA package. The SNP effects are quantified in terms of empirical P-values, which, for computational efficiency, are derived from extensive pre-computed tables of distributions of substitution effects as a function of gene length and GC content. Here, we present a web service that not only provides an interface for RNAsnp but also features a graphical output representation. In addition, the web server is connected to a local mirror of the UCSC genome browser database that enables the users to select the genomic sequences for analysis and visualize the results directly in the UCSC genome browser. The RNAsnp web server is freely available at: http://rth.dk/resources/rnasnp/.
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spelling pubmed-39776582014-04-07 The RNAsnp web server: predicting SNP effects on local RNA secondary structure Sabarinathan, Radhakrishnan Tafer, Hakim Seemann, Stefan E. Hofacker, Ivo L. Stadler, Peter F. Gorodkin, Jan Nucleic Acids Res Articles The function of many non-coding RNA genes and cis-regulatory elements of messenger RNA largely depends on the structure, which is in turn determined by their sequence. Single nucleotide polymorphisms (SNPs) and other mutations may disrupt the RNA structure, interfere with the molecular function and hence cause a phenotypic effect. RNAsnp is an efficient method to predict the effect of SNPs on local RNA secondary structure based on the RNA folding algorithms implemented in the Vienna RNA package. The SNP effects are quantified in terms of empirical P-values, which, for computational efficiency, are derived from extensive pre-computed tables of distributions of substitution effects as a function of gene length and GC content. Here, we present a web service that not only provides an interface for RNAsnp but also features a graphical output representation. In addition, the web server is connected to a local mirror of the UCSC genome browser database that enables the users to select the genomic sequences for analysis and visualize the results directly in the UCSC genome browser. The RNAsnp web server is freely available at: http://rth.dk/resources/rnasnp/. Oxford University Press 2013-07 2013-04-27 /pmc/articles/PMC3977658/ /pubmed/23630321 http://dx.doi.org/10.1093/nar/gkt291 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Sabarinathan, Radhakrishnan
Tafer, Hakim
Seemann, Stefan E.
Hofacker, Ivo L.
Stadler, Peter F.
Gorodkin, Jan
The RNAsnp web server: predicting SNP effects on local RNA secondary structure
title The RNAsnp web server: predicting SNP effects on local RNA secondary structure
title_full The RNAsnp web server: predicting SNP effects on local RNA secondary structure
title_fullStr The RNAsnp web server: predicting SNP effects on local RNA secondary structure
title_full_unstemmed The RNAsnp web server: predicting SNP effects on local RNA secondary structure
title_short The RNAsnp web server: predicting SNP effects on local RNA secondary structure
title_sort rnasnp web server: predicting snp effects on local rna secondary structure
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977658/
https://www.ncbi.nlm.nih.gov/pubmed/23630321
http://dx.doi.org/10.1093/nar/gkt291
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