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Estimating Error Models for Whole Genome Sequencing Using Mixtures of Dirichlet-Multinomial Distributions
Steven H. Wu, Rachel S. Schwartz, David J. Winter, Donald F. Conrad, Reed A. Cartwright
doi: https://doi.org/10.1101/031724
Steven H. Wu
1The Biodesign Institute, Arizona State University, Tempe, AZ, USA
Rachel S. Schwartz
1The Biodesign Institute, Arizona State University, Tempe, AZ, USA
3Department of Biological Sciences, The University of Rhode Island, Kingston, RI 02881, USA
David J. Winter
1The Biodesign Institute, Arizona State University, Tempe, AZ, USA
Donald F. Conrad
4Department of Genetics, Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
Reed A. Cartwright
1The Biodesign Institute, Arizona State University, Tempe, AZ, USA
2School of Life Sciences, Arizona State University, Tempe, AZ, USA
Article usage
Posted September 20, 2016.
Estimating Error Models for Whole Genome Sequencing Using Mixtures of Dirichlet-Multinomial Distributions
Steven H. Wu, Rachel S. Schwartz, David J. Winter, Donald F. Conrad, Reed A. Cartwright
bioRxiv 031724; doi: https://doi.org/10.1101/031724
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