WOMBAT – A program for Mixed Model Analyses by Restricted Maximum Likelihood

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wombat:specialanalyses [2018/08/30]
kmeyer ["Single step" genomic BLUP]
wombat:specialanalyses [2018/08/30] (current)
kmeyer ["Single step" genomic BLUP]
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   - The first is simply an analysis in which the inverse of the combined relationship matrix, ${\bf H}^{-1} $, is suplied in a ''​*.gin''​ file. It is invoked with the run option ''​----s1step''​. \\    - The first is simply an analysis in which the inverse of the combined relationship matrix, ${\bf H}^{-1} $, is suplied in a ''​*.gin''​ file. It is invoked with the run option ''​----s1step''​. \\ 
       * As for run option ''​– –solvit'',​ the mixed model equations are set up once and stored in core.        * As for run option ''​– –solvit'',​ the mixed model equations are set up once and stored in core. 
-      * A special feature for the single step analysis is that the part of the coefficient matrix in the mixed model equations pertaining to genotyped animals is stored as a dense submatrix. This implies substantial RAM requirements for large analyses, but allows efficient, multi-threaded ​linrary ​routine for dense matrix manipulations to be exploited. ​+      * A special feature for the single step analysis is that the part of the coefficient matrix in the mixed model equations pertaining to genotyped animals is stored as a dense submatrix. This implies substantial RAM requirements for large analyses, but allows efficient, multi-threaded ​library ​routine for dense matrix manipulations to be exploited. ​
       * Iterative solutions are obtained using a pre-conditioned conjugate gradient algorithm with a choice of diagonal, block-diagonal of SSOR (default) preconditioning scheme.       * Iterative solutions are obtained using a pre-conditioned conjugate gradient algorithm with a choice of diagonal, block-diagonal of SSOR (default) preconditioning scheme.
   - A low RAM alternative is invoked via run option ''​----s2step'':​ This employs a PCG algorithm with diagonal preconditioner,​ using '​iteration on data' instead of in-core storage of the mixed model equations. \\ It requires pedigree information (to set up the inverse of the numerator relationship matrix) and the '​add-on'​ part in the combined relationship matrix, $ {\bf G}^{-1} - {\bf A}_{22}^{-1}$ as a ''​*.gin''​ file.   - A low RAM alternative is invoked via run option ''​----s2step'':​ This employs a PCG algorithm with diagonal preconditioner,​ using '​iteration on data' instead of in-core storage of the mixed model equations. \\ It requires pedigree information (to set up the inverse of the numerator relationship matrix) and the '​add-on'​ part in the combined relationship matrix, $ {\bf G}^{-1} - {\bf A}_{22}^{-1}$ as a ''​*.gin''​ file.
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