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A flexible, efficient binomial mixed model for identifying differential DNA methylation in bisulfite sequencing data
AJ Lea, J Tung, X Zhou
doi: https://doi.org/10.1101/019562
AJ Lea
1Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
J Tung
1Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
2Institute of Primate Research, National Museums of Kenya, P. O. Box 24481, Karen 00502, Nairobi, Kenya
3Department of Evolutionary Anthropology, Duke University, Box 90383, Durham, NC 27708, USA
4Duke University Population Research Institute, Duke University, Box 90420, Durham, NC 27708, USA
X Zhou
5Department of Biostatistics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109
6Center for Statistical Genetics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109
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Posted October 14, 2015.
A flexible, efficient binomial mixed model for identifying differential DNA methylation in bisulfite sequencing data
AJ Lea, J Tung, X Zhou
bioRxiv 019562; doi: https://doi.org/10.1101/019562
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