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RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets

Intermolecular interactions of ncRNAs are at the core of gene regulation events, and identifying the full map of these interactions bears crucial importance for ncRNA functional studies. It is known that RNA–RNA interactions are built up by complementary base pairings between interacting RNAs and hi...

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Detalles Bibliográficos
Autores principales: Alkan, Ferhat, Wenzel, Anne, Palasca, Oana, Kerpedjiev, Peter, Rudebeck, Anders Frost, Stadler, Peter F., Hofacker, Ivo L., Gorodkin, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5416843/
https://www.ncbi.nlm.nih.gov/pubmed/28108657
http://dx.doi.org/10.1093/nar/gkw1325
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author Alkan, Ferhat
Wenzel, Anne
Palasca, Oana
Kerpedjiev, Peter
Rudebeck, Anders Frost
Stadler, Peter F.
Hofacker, Ivo L.
Gorodkin, Jan
author_facet Alkan, Ferhat
Wenzel, Anne
Palasca, Oana
Kerpedjiev, Peter
Rudebeck, Anders Frost
Stadler, Peter F.
Hofacker, Ivo L.
Gorodkin, Jan
author_sort Alkan, Ferhat
collection PubMed
description Intermolecular interactions of ncRNAs are at the core of gene regulation events, and identifying the full map of these interactions bears crucial importance for ncRNA functional studies. It is known that RNA–RNA interactions are built up by complementary base pairings between interacting RNAs and high level of complementarity between two RNA sequences is a powerful predictor of such interactions. Here, we present RIsearch2, a large-scale RNA–RNA interaction prediction tool that enables quick localization of potential near-complementary RNA–RNA interactions between given query and target sequences. In contrast to previous heuristics which either search for exact matches while including G−U wobble pairs or employ simplified energy models, we present a novel approach using a single integrated seed-and-extend framework based on suffix arrays. RIsearch2 enables fast discovery of candidate RNA–RNA interactions on genome/transcriptome-wide scale. We furthermore present an siRNA off-target discovery pipeline that not only predicts the off-target transcripts but also computes the off-targeting potential of a given siRNA. This is achieved by combining genome-wide RIsearch2 predictions with target site accessibilities and transcript abundance estimates. We show that this pipeline accurately predicts siRNA off-target interactions and enables off-targeting potential comparisons between different siRNA designs. RIsearch2 and the siRNA off-target discovery pipeline are available as stand-alone software packages from http://rth.dk/resources/risearch.
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spelling pubmed-54168432017-05-05 RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets Alkan, Ferhat Wenzel, Anne Palasca, Oana Kerpedjiev, Peter Rudebeck, Anders Frost Stadler, Peter F. Hofacker, Ivo L. Gorodkin, Jan Nucleic Acids Res Methods Online Intermolecular interactions of ncRNAs are at the core of gene regulation events, and identifying the full map of these interactions bears crucial importance for ncRNA functional studies. It is known that RNA–RNA interactions are built up by complementary base pairings between interacting RNAs and high level of complementarity between two RNA sequences is a powerful predictor of such interactions. Here, we present RIsearch2, a large-scale RNA–RNA interaction prediction tool that enables quick localization of potential near-complementary RNA–RNA interactions between given query and target sequences. In contrast to previous heuristics which either search for exact matches while including G−U wobble pairs or employ simplified energy models, we present a novel approach using a single integrated seed-and-extend framework based on suffix arrays. RIsearch2 enables fast discovery of candidate RNA–RNA interactions on genome/transcriptome-wide scale. We furthermore present an siRNA off-target discovery pipeline that not only predicts the off-target transcripts but also computes the off-targeting potential of a given siRNA. This is achieved by combining genome-wide RIsearch2 predictions with target site accessibilities and transcript abundance estimates. We show that this pipeline accurately predicts siRNA off-target interactions and enables off-targeting potential comparisons between different siRNA designs. RIsearch2 and the siRNA off-target discovery pipeline are available as stand-alone software packages from http://rth.dk/resources/risearch. Oxford University Press 2017-05-05 2017-01-20 /pmc/articles/PMC5416843/ /pubmed/28108657 http://dx.doi.org/10.1093/nar/gkw1325 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methods Online
Alkan, Ferhat
Wenzel, Anne
Palasca, Oana
Kerpedjiev, Peter
Rudebeck, Anders Frost
Stadler, Peter F.
Hofacker, Ivo L.
Gorodkin, Jan
RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
title RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
title_full RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
title_fullStr RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
title_full_unstemmed RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
title_short RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
title_sort risearch2: suffix array-based large-scale prediction of rna–rna interactions and sirna off-targets
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5416843/
https://www.ncbi.nlm.nih.gov/pubmed/28108657
http://dx.doi.org/10.1093/nar/gkw1325
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