The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

@article{Wang2014TheCB,
  title={The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance},
  author={Charles Zhao-Chen Wang and Binsheng Gong and Pierre R. Bushel and Jean Thierry-Mieg and Danielle Thierry-Mieg and Joshua Xu and Hong Fang and Huixiao Hong and Jie Shen and Zhenqiang Su and Joe Meehan and Xiaojin Li and Lu Yang and Haiqing Li and Paweł P Łabaj and David P. Kreil and Dalila B. Megherbi and Stan Gaj and Florian Caiment and Joost H.M. van Delft and Jos C. S. Kleinjans and Andreas Scherer and Viswanath Devanarayan and Jian Wang and Yong Yang and Huiling Qian and Lee J. Lancashire and Marina O Bessarabova and Yuri Nikolsky and Cesare Furlanello and Marco Chierici and Davide Albanese and Giuseppe Jurman and Samantha Riccadonna and Michele Filosi and Roberto Visintainer and Ke Ke Zhang and Jianying Li and Jui-Hua Hsieh and Daniel L Svoboda and James C. Fuscoe and Youping Deng and Leming Shi and Richard S. Paules and Scott S. Auerbach and Weida Tong},
  journal={Nature Biotechnology},
  year={2014},
  volume={32},
  pages={926-932}
}
The concordance of RNA-sequencing (RNA-seq) with microarrays for genome-wide analysis of differential gene expression has not been rigorously assessed using a range of chemical treatment conditions. Here we use a comprehensive study design to generate Illumina RNA-seq and Affymetrix microarray data from the same liver samples of rats exposed in triplicate to varying degrees of perturbation by 27 chemicals representing multiple modes of action (MOAs). The cross-platform concordance in terms of… CONTINUE READING
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