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Detecting differential usage of exons from RNA-Seq data
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  • Published: 25 January 2012

Detecting differential usage of exons from RNA-Seq data

  • Simon Anders1,
  • Alejandro Reyes1 &
  • Wolfgang Huber1 

Nature Precedings (2012)Cite this article

  • 546 Accesses

  • 13 Citations

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Abstract

RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isoform expression. Understanding the regulation of these processes requires comparisons between treatments, tissues or conditions. For the analysis of such experiments, we present DEXSeq, a statistical method to test for differential exon usage in RNA-Seq data. DEXSeq employs generalized linear models and offers good detection power and reliable control of false discoveries by taking biological variation into account. An implementation is available as an R/Bioconductor package.

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Authors and Affiliations

  1. European Molecular Biology Laboratory https://www.nature.com/nature

    Simon Anders, Alejandro Reyes & Wolfgang Huber

Authors
  1. Simon Anders
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  2. Alejandro Reyes
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  3. Wolfgang Huber
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Corresponding author

Correspondence to Simon Anders.

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Anders, S., Reyes, A. & Huber, W. Detecting differential usage of exons from RNA-Seq data. Nat Prec (2012). https://doi.org/10.1038/npre.2012.6837.1

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  • Received: 25 January 2012

  • Accepted: 25 January 2012

  • Published: 25 January 2012

  • DOI: https://doi.org/10.1038/npre.2012.6837.1

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Keywords

  • RNA-Seq
  • alternative isoform regulation
  • DEXSeq
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