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

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Standard

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.

I: Nucleic Acids Research, Bind 45, Nr. 8, e60, 2017.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Alkan, F, Wenzel, A, Palasca, O, Kerpedjiev, P, Rudebeck, AF, Stadler, PF, Hofacker, IL & Gorodkin, J 2017, 'RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets', Nucleic Acids Research, bind 45, nr. 8, e60. https://doi.org/10.1093/nar/gkw1325

APA

Alkan, F., Wenzel, A., Palasca, O., Kerpedjiev, P., Rudebeck, A. F., Stadler, P. F., ... Gorodkin, J. (2017). RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets. Nucleic Acids Research, 45(8), [e60]. https://doi.org/10.1093/nar/gkw1325

Vancouver

Alkan F, Wenzel A, Palasca O, Kerpedjiev P, Rudebeck AF, Stadler PF o.a. RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets. Nucleic Acids Research. 2017;45(8). e60. https://doi.org/10.1093/nar/gkw1325

Author

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. I: Nucleic Acids Research. 2017 ; Bind 45, Nr. 8.

Bibtex

@article{0dcc1b935863418eb7351e8bdb45a75c,
title = "RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets",
abstract = "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 https://rth.dk/resources/risearch.",
author = "Ferhat Alkan and Anne Wenzel and Oana Palasca and Peter Kerpedjiev and Rudebeck, {Anders Frost} and Stadler, {Peter F} and Hofacker, {Ivo L} and Jan Gorodkin",
note = "{\circledC} The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.",
year = "2017",
doi = "10.1093/nar/gkw1325",
language = "English",
volume = "45",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "8",

}

RIS

TY - JOUR

T1 - RIsearch2

T2 - suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets

AU - Alkan, Ferhat

AU - Wenzel, Anne

AU - Palasca, Oana

AU - Kerpedjiev, Peter

AU - Rudebeck, Anders Frost

AU - Stadler, Peter F

AU - Hofacker, Ivo L

AU - Gorodkin, Jan

N1 - © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

PY - 2017

Y1 - 2017

N2 - 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 https://rth.dk/resources/risearch.

AB - 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 https://rth.dk/resources/risearch.

U2 - 10.1093/nar/gkw1325

DO - 10.1093/nar/gkw1325

M3 - Journal article

C2 - 28108657

VL - 45

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - 8

M1 - e60

ER -

ID: 172526377