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A high-throughput RNA-seq approach to profile transcriptional responses
G.A. Moyerbrailean, G.O. Davis, C. Harvey, D. Watza, X. Wen, R. Pique-Regi, F. Luca
doi: https://doi.org/10.1101/018416
G.A. Moyerbrailean
1Wayne State University, Center for Molecular Medicine and Genetics, Detroit MI, 48201, USA
G.O. Davis
1Wayne State University, Center for Molecular Medicine and Genetics, Detroit MI, 48201, USA
C. Harvey
1Wayne State University, Center for Molecular Medicine and Genetics, Detroit MI, 48201, USA
D. Watza
1Wayne State University, Center for Molecular Medicine and Genetics, Detroit MI, 48201, USA
X. Wen
2University of Michigan, Department of Biostatistics, Ann Arbor MI 48109, USA
R. Pique-Regi
1Wayne State University, Center for Molecular Medicine and Genetics, Detroit MI, 48201, USA
3Wayne State University, Department of Obstetrics and Gynecology, Detroit MI 48201, USA
F. Luca
1Wayne State University, Center for Molecular Medicine and Genetics, Detroit MI, 48201, USA
3Wayne State University, Department of Obstetrics and Gynecology, Detroit MI 48201, USA
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Posted June 09, 2015.
A high-throughput RNA-seq approach to profile transcriptional responses
G.A. Moyerbrailean, G.O. Davis, C. Harvey, D. Watza, X. Wen, R. Pique-Regi, F. Luca
bioRxiv 018416; doi: https://doi.org/10.1101/018416
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