Dr. Ulrike Ober

• Ober*, U., Huang*, W., Magwire, M., Schlather, M., Simianer, H., Mackay, T.F.C. (2015)
  Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait.
  PLoS ONE 10(5): e0126880. doi:10.1371/journal.pone.0126880
  *equal contribution
  


• Zhang, Z., Erbe, M., He, J., Ober, U., Gao, N., Zhang, H., Simianer, H., Li, J. (2015)
  Accuracy of Whole Genome Prediction Using a Genetic Architecture Enhanced Variance-Covariance Matrix.
  G3: Genes|Genomes|Genetics: g3.114.016261. doi:10.1534/g3.114.016261
  


• Zhang, Z., Ober, U., Erbe, M., Zhang, H., Gao, N., He, J., Li, J., Simianer, H. (2014)
  Improving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies.
  PLoS ONE 9(3): e93017. doi:10.1371/journal.pone.0093017
  


• Weigend, S., Janßen-Tapken, U., Erbe, M., Ober, U., Weigend, A., Preisinger, R., Simianer, H. (2014)
  Biodiversität beim Huhn - Potenziale für die Praxis.
  Züchtungskunde 86(1), 25-41
  


• Ober, U., Malinowski, A., Schlather, M., Simianer, H. (2013)
  The Expected Linkage Disequilibrium in a Finite Population Revisited.
  arXiv:1304.4856v2 [q-bio.PE]
  


• Ober, U. (2012)
  Genomic Prediction for Quantitative Traits: Using Kernel Methods and Whole Genome Sequence Based Approaches
  Doktorarbeit. Niedersächsische Staats- und Universitätsbibliothek, Georg-August-Universität Göttingen. Link.
  


• Ober, U., Ayroles, J.F., Stone, E.A., Richards, S., Zhu, D., Gibbs, R.A., Stricker, C., Gianola, D., Schlather, M., Mackay, T.F.C., Simianer, H. (2012)
  Using Whole Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster.
  PLoS Genetics 8(5): e1002685. doi:10.1371/journal.pgen.1002685
  


• Ober, U., Erbe, M., Long, N., Porcu, E., Schlather, M., Simianer, H. (2011)
  Predicting Genetic Values: a Kernel-Based Best Linear Unbiased Prediction with Genomic Data.
  Genetics 188(3), 695-708 pdf
  


• Ober, U., Erbe, M., Schlather, M., Simianer, H. (2010)
  Kernel-based BLUP with Genomic Data.
  Proceedings: 9th World Congress on Genetics Applied to Livestock Production (WCGALP), ISBN 978-3-00-031608-1 pdf
  


• Ober, U. (2009)
  Zum Problem, ob zentrale Divisionsalgebren von Primzahlgrad stets zyklisch sind.
  Diplomarbeit (unveröffentlicht), Mathematisches Institut der Georg-August-Universität Göttingen, betreut von Prof. I. Kersten
  

• Using whole genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
  22. Juni 2012, 4th International Conference on Quantitative Genetics, Edinburgh, Schottland
  


• Estimation of effective population size from linkage disequilibrium structure revisited.
  14. Juni 2012, Research Seminar "New developments in quantitative and population genetics of Drosophila", Göttingen
  


• A new recursion formula for the expected linkage disequilibrium in a finite population.
  12. April 2012, European Mathematical Genetics Meeting 2012, Göttingen
  


• Using whole genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
  1. November 2011, Mackay Lab, NC State University, Raleigh, USA
  


• Using whole genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
  30. September 2011, Genetisch-Statistischer Ausschuss der DGfZ, Werder (Havel)
  


• Using whole genome sequence data to predict phenotypic traits in Drosophila melanogaster.
  30. August 2011, 62nd Annual Meeting of the European Federation of Animal Science (EAAP), Stavanger, Norwegen
  


• Kernel-based BLUP with Genomic Data.
  1. Oktober 2010, Eröffnungszeremonie DFG Graduiertenkolleg 1644 "Scaling Problems in Statistics", Göttingen
  


• Kernel-based BLUP with Genomic Data.
  4. August 2010, 9th World Congress on Genetics Applied to Livestock Production (WCGALP), Leipzig