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Improving imputation quality in BEAGLE for crop and livestock data
View ORCID ProfileT. Pook, M. Mayer, J. Geibel, S. Weigend, D. Cavero, C.C. Schoen, H. Simianer
doi: https://doi.org/10.1101/577338
T. Pook
*University of Goettingen, Department of Animal Sciences, Animal Breeding and Genetics Group, 37075 Goettingen, Germany
†Center for Integrated Breeding Research, University of Goettingen, 37075 Goettingen, Germany
M. Mayer
‡Technical University of Munich, Plant Breeding, TUM School of Life Sciences Weihenstephan, 85354 Freising, Germany
J. Geibel
*University of Goettingen, Department of Animal Sciences, Animal Breeding and Genetics Group, 37075 Goettingen, Germany
†Center for Integrated Breeding Research, University of Goettingen, 37075 Goettingen, Germany
S. Weigend
†Center for Integrated Breeding Research, University of Goettingen, 37075 Goettingen, Germany
§Friedrich-Loeffler-Institut, Institute of Farm Animal Genetics, 31353 Neustadt-Mariensee, Germany
D. Cavero
**H&N International, 27472 Cuxhaven, Germany
C.C. Schoen
‡Technical University of Munich, Plant Breeding, TUM School of Life Sciences Weihenstephan, 85354 Freising, Germany
H. Simianer
*University of Goettingen, Department of Animal Sciences, Animal Breeding and Genetics Group, 37075 Goettingen, Germany
†Center for Integrated Breeding Research, University of Goettingen, 37075 Goettingen, Germany
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Posted March 16, 2019.
Improving imputation quality in BEAGLE for crop and livestock data
T. Pook, M. Mayer, J. Geibel, S. Weigend, D. Cavero, C.C. Schoen, H. Simianer
bioRxiv 577338; doi: https://doi.org/10.1101/577338
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