New Results
A high-throughput RNA-seq approach to profile transcriptional responses
G. A. Moyerbrailean, G. O. Davis, C. T. Harvey, D. Watza, X. Wen, R. Pique-Regi, F. Luca
doi: https://doi.org/10.1101/018416
G. A. Moyerbrailean
*Center for Molecular Medicine and Genetics, Wayne State University
G. O. Davis
*Center for Molecular Medicine and Genetics, Wayne State University
C. T. Harvey
*Center for Molecular Medicine and Genetics, Wayne State University
D. Watza
*Center for Molecular Medicine and Genetics, Wayne State University
X. Wen
§Department of Biostatistics, University of Michigan
R. Pique-Regi
*Center for Molecular Medicine and Genetics, Wayne State University
†Department of Obstetrics and Gynecology, Wayne State University
F. Luca
*Center for Molecular Medicine and Genetics, Wayne State University
†Department of Obstetrics and Gynecology, Wayne State University

Article usage
Posted April 22, 2015.
A high-throughput RNA-seq approach to profile transcriptional responses
G. A. Moyerbrailean, G. O. Davis, C. T. Harvey, D. Watza, X. Wen, R. Pique-Regi, F. Luca
bioRxiv 018416; doi: https://doi.org/10.1101/018416
Subject Area
Subject Areas
- Biochemistry (4961)
- Bioengineering (3462)
- Bioinformatics (15165)
- Biophysics (6878)
- Cancer Biology (5374)
- Cell Biology (7699)
- Clinical Trials (138)
- Developmental Biology (4514)
- Ecology (7127)
- Epidemiology (2059)
- Evolutionary Biology (10204)
- Genetics (7495)
- Genomics (9762)
- Immunology (4815)
- Microbiology (13167)
- Molecular Biology (5124)
- Neuroscience (29342)
- Paleontology (203)
- Pathology (834)
- Pharmacology and Toxicology (1460)
- Physiology (2126)
- Plant Biology (4728)
- Synthetic Biology (1337)
- Systems Biology (4001)
- Zoology (768)