Bug-Database: https://github.com/genetics-statistics/gemma/issues
Bug-Submit: https://github.com/genetics-statistics/gemma/issues/new
Reference:
 - Author: Xiang Zhou and Matthew Stephens
   Year: 2012
   Title: >
    Genome-wide efficient mixed-model analysis for association studies
   Journal: Nature Genetics
   Volume: 44
   Pages: 821-824
 - Author: Xiang Zhou and Matthew Stephens
   Year: 2014
   Title: >
    Efficient multivariate linear mixed model algorithms for genome-wide
    association studies
   Journal: Nature Methods
   Volume: 11
   Number: 4
   Pages: 407-409
 - Author: Xiang Zhou and Peter Carbonetto and Matthew Stephens
   Year: 2013
   Title: Polygenic modeling with Bayesian sparse linear mixed models
   Journal: PLoS Genetics
   Volume: 9
   Number: 2
   Pages: e1003264
 - Author: Xiang Zhou
   Year: 2017
   Title: >
    A unified framework for variance component estimation with summary
    statistics in genome-wide association studies
   Journal: Annals of Applied Statistics
   Volume: 11
   Number: 4
   Pages: 2027-2051.
Registry:
 - Name: bio.tools
   Entry: NA
 - Name: OMICtools
   Entry: OMICS_25985
 - Name: SciCrunch
   Entry: NA
 - Name: conda:bioconda
   Entry: gemma
Repository: https://github.com/genetics-statistics/gemma.git
Repository-Browse: https://github.com/genetics-statistics/gemma
