A Fast and Flexible Method for Improving Genomic Prediction with Biological Information Jicai Jiang, Department of Animal and Avian Sciences, University of Maryland;
Jeffrey R. O'Connell, University of Maryland Medical School;
Paul M. VanRaden, Animal Genomics and Improvement Laboratory, ARS-USDA;
Li Ma, Department of Animal and Avian Sciences, University of Maryland
Genetic Study on Clonal F1 and Double Cross Populations Luyan Zhang, Instititue of Crop Sciences, Chinese Academy of Agricultural Sciences;
Jiankang Wang, Instititue of Crop Sciences, Chinese Academy of Agricultural Sciences
EAGLE: Explicit Alternative Genome Likelihood Evaluator Tony Kuo, National Institute of Advanced Industrial Science and Technology;
Martin C. Frith, National Institute of Advanced Industrial Science and Technology;
Jun Sese, Natl Inst Advanced Industrial Science and Technology;
Paul Horton, National Institute of Advanced Industrial Science and Technology
Impact of the Genetic Diversity of the Reference Population on the Accuracy of Imputation of Rare Variants Adrien M. Butty, Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph;
Filippo Miglior, Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph;
Paul Stothard, Livestock Gentec, Department of Agricultural, Food & Nutritional Sciences, University of Alberta;
Flavio Schenkel, Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph;
Birgit Gredler, Qualitas AG;
Mehdi Sargolzaei, Unknown;
Christine F. Baes, Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph
JBLUP: The Joint Best Linear Unbiased Prediction Using BLUP and GBLUP Solutions Cheng Tan, Department of Animal Science, University of Minnesota;
Dzianis Prakapenka, Department of Animal Science, University of Minnesota;
Li Ma, Department of Animal and Avian Sciences, University of Maryland;
Zhenfang Wu, College of Animal Science, South China Agricultural University;
Xiaoxiang Hu, State Key Laboratory for Agrobiotechnology, China Agricultural University;
Yang Da, Department of Animal Science, University of Minnesota
Multi-Task Learning for Genomic Prediction Robust to Missing Data in Multi-Environmental Trials Tomoaki Hori, The University of Tokyo;
Hideki Takanashi, The University of Tokyo;
Masaru Fujimoto, The University of Tokyo;
Hiromi Kajiya-Kanegae, JST, CREST;
Kiyoshi Yamazaki, The University of Tokyo;
Tsuneo Hakoyama, RIKEN;
Mai Minamikawa, The University of Tokyo;
Atsushi Nagano, Ryukoku University;
Masaaki Kobayashi, Meiji University;
Takashi Sazuka, Nagoya University;
Kentaro Yano, Meiji University;
Tsuyoshi Tokunaga, Earth Note Co. Ltd.;
Toru Fujiwara, JST, CREST;
Nobuhiro Tsutsumi, The University of Tokyo;
Hiroyoshi Iwata, The University of Tokyo
ATomiCG: A Novel Segmentation Algorithm for Studying DNA Composition Massimo Cellesi, University of Sassari;
Nicolo P. P. Macciotta, University of Sassari;
Corrado Dimauro, University of Sassari, Italy;
Giustino Gaspa, University of Sassari;
Silvia Sorbolini, University of Sassari
Rudimentary Genomic Reference for the Grizzly Bear Derived Using Short Read Data from Several Animals Kalpani DeSilva, University of Louisville;
Theodore S. Kalbfleisch, University of Louisville;
Charles T. Robbins, Washington State University;
Heiko T. Jansen, Washington State University;
Michelle McGuire, Washington State University;
William W. Laegreid, University of Wyoming;
Michael P. Heaton, USDA, ARS, U.S. Meat Animal Research Center (USMARC);
Brenda M. Murdoch, University of Idaho
Investigating Frequented Regions (FRs) in a Yeast Pan-Genome Alan M. Cleary, Montana State University;
Thiruvarangan Ramaraj, National Center for Genome Resources (NCGR);
Joann Mudge, National Center for Genome Resources (NCGR);
Brendan Mumey, Montana State University