Open Access

Erratum to: An iteration normalization and test method for differential expression analysis of RNA-seq data

BioData Mining20147:30

DOI: 10.1186/s13040-014-0030-4

Received: 26 November 2014

Accepted: 26 November 2014

Published: 12 December 2014

The original article was published in BioData Mining 2014 7:15

Abstract

No abstract

Erratum

Following publication of our paper in BioData Mining[1], it came to light that numerous sections of text were similar or identical to a previous publication by Robinson and Oshlack [2]. In extending the method proposed by Robinson and Oshlack, we inadvertently copied text from their article [2]. We acknowledge that these areas of text should have been clearly indicated as quotations or excluded entirely. We sincerely apologize for this oversight.

Notes

Authors’ Affiliations

(1)
Institute for Genomic Biology, University of Illinois at Urbana-Champaign
(2)
Department of Mathematics, Washington University in Saint Louis
(3)
Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics, Northeast Normal University

References

  1. Zhou Y, Lin N, Zhang B: An iteration normalization and test method for differential expression analysis of RNA-seq data. BioData Min. 2014, 7: 15-10.1186/1756-0381-7-15.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Robinson MD, Oshlack A: A scaling normalization method for differential expression analysis of RNA-seq data.Genome Biol 2010, 11:R25. ., [http://genomebiology.com/content/pdf/gb-2010-11-3-r25.pdf]

Copyright

© Zhou et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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