A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis

@article{Dillies2013ACE,
  title={A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis},
  author={Marie-Agn{\`e}s Dillies and Andrea Rau and Julie Aubert and Christelle Hennequet-Antier and Marine Jeanmougin and Nicolas Servant and C{\'e}line Keime and Guillemette Marot and David Castel and Jordi Estell{\'e} and Gregory Guernec and Bernd Jagla and Luc Jouneau and Denis Lalo{\"e} and Caroline Le Gall and Brigitte Schaeffer and St{\'e}phane Le Crom and Micka{\"e}l Guedj and Florence Jaffr{\'e}zic},
  journal={Briefings in bioinformatics},
  year={2013},
  volume={14 6},
  pages={671-83}
}
During the last 3 years, a number of approaches for the normalization of RNA sequencing data have emerged in the literature, differing both in the type of bias adjustment and in the statistical strategy adopted. However, as data continue to accumulate, there has been no clear consensus on the appropriate normalization method to be used or the impact of a chosen method on the downstream analysis. In this work, we focus on a comprehensive comparison of seven recently proposed normalization… CONTINUE READING
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