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Detecting microRNA binding and siRNA off-target effects from expression data
Sylamer is a method for detecting microRNA target and small interfering (si)RNA off-target signals from expression data. The input is a ranked genelist from up to downregulated 3′ untranslated regions (UTRs) following an miRNA or RNAi experiment. The output is a landscape plot that tracks occurrence...
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Formato: | Texto |
Lenguaje: | English |
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2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2635553/ https://www.ncbi.nlm.nih.gov/pubmed/18978784 http://dx.doi.org/10.1038/nmeth.1267 |
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author | van Dongen, Stijn Abreu-Goodger, Cei Enright, Anton J |
author_facet | van Dongen, Stijn Abreu-Goodger, Cei Enright, Anton J |
author_sort | van Dongen, Stijn |
collection | PubMed |
description | Sylamer is a method for detecting microRNA target and small interfering (si)RNA off-target signals from expression data. The input is a ranked genelist from up to downregulated 3′ untranslated regions (UTRs) following an miRNA or RNAi experiment. The output is a landscape plot that tracks occurrence biases using hypergeometric P-values for all words across the gene ranking. The utility, speed, and accuracy of the approach on several miRNA and siRNA datasets are demonstrated. |
format | Text |
id | pubmed-2635553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
record_format | MEDLINE/PubMed |
spelling | pubmed-26355532009-06-01 Detecting microRNA binding and siRNA off-target effects from expression data van Dongen, Stijn Abreu-Goodger, Cei Enright, Anton J Nat Methods Article Sylamer is a method for detecting microRNA target and small interfering (si)RNA off-target signals from expression data. The input is a ranked genelist from up to downregulated 3′ untranslated regions (UTRs) following an miRNA or RNAi experiment. The output is a landscape plot that tracks occurrence biases using hypergeometric P-values for all words across the gene ranking. The utility, speed, and accuracy of the approach on several miRNA and siRNA datasets are demonstrated. 2008-11-02 2008-12 /pmc/articles/PMC2635553/ /pubmed/18978784 http://dx.doi.org/10.1038/nmeth.1267 Text en |
spellingShingle | Article van Dongen, Stijn Abreu-Goodger, Cei Enright, Anton J Detecting microRNA binding and siRNA off-target effects from expression data |
title | Detecting microRNA binding and siRNA off-target effects from expression data |
title_full | Detecting microRNA binding and siRNA off-target effects from expression data |
title_fullStr | Detecting microRNA binding and siRNA off-target effects from expression data |
title_full_unstemmed | Detecting microRNA binding and siRNA off-target effects from expression data |
title_short | Detecting microRNA binding and siRNA off-target effects from expression data |
title_sort | detecting microrna binding and sirna off-target effects from expression data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2635553/ https://www.ncbi.nlm.nih.gov/pubmed/18978784 http://dx.doi.org/10.1038/nmeth.1267 |
work_keys_str_mv | AT vandongenstijn detectingmicrornabindingandsirnaofftargeteffectsfromexpressiondata AT abreugoodgercei detectingmicrornabindingandsirnaofftargeteffectsfromexpressiondata AT enrightantonj detectingmicrornabindingandsirnaofftargeteffectsfromexpressiondata |