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DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics

Friday, August 22, 2014
Posters (The Westin Bayshore)
Per Madsen , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Just Jensen , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Rodrigo Labouriau , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Ole Fredslund Christensen , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Goutam Sahana , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Abstract Text:

The DMU-package for Analyzing Multivariate Mixed Models has been developed over a period of more than 25 years. This paper gives an overview of new features and the recent developments around the DMU-package, including: Genomic prediction (SNP-BLUP, G-BLUP and “One-Step”), Genome-wide association studies, Survival models and double hierarchical generalized linear mixed models.

Keywords:

Genomic

Survival-Analysis

DHGLM

See more of: Posters: Statistical Methods - Linear and Nonlinear Models (Group 1)
See more of: Methods and Tools: Statistical methods - linear and nonlinear models
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