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application_programs [2016/09/30 19:31] andresapplication_programs [2018/06/20 20:12] shogo
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 The [[distribution|programs]] support mixed models with multiple-correlated effects, multiple animal models and dominance. The [[distribution|programs]] support mixed models with multiple-correlated effects, multiple animal models and dominance.
  
-**Most** of the programs now support being called with the parameter file as an argument, e.g. <file> blupf90 renf90.par </file>. This avoids typing the name of the file in interactive or doing the trick <file> echo renf90.par | blupf90.par </file>.+**Most** of the programs now support being called with the parameter file as an argument, e.g. <file> blupf90 renf90.par </file>. This avoids typing the name of the file in interactive or doing the trick <file> echo renf90.par | blupf90 </file>.
  
-Download {{:blupf90_all4.pdf|BLUP90 manual}}+Download {{:blupf90_all7.pdf|BLUPF90 family manual}}. Note that some programs repertoried below are not in the manual (e.g. ''inbupgf90'')
  
    * [[readme.blupf90|BLUPF90]] - BLUP in memory    * [[readme.blupf90|BLUPF90]] - BLUP in memory
    * [[readme.reml|REMLF90]] - accelerated EM REML    * [[readme.reml|REMLF90]] - accelerated EM REML
-   * QXPAK - joint analysis of QTL and polygenic effects (M. Perez-Enciso) [[http://www.icrea.cat/Web/OtherSectionViewer.aspx?key=485&titol=Software:Qxpak | QxPak web page]] +   * [[readme.aireml|AIREMLF90]] - Average Information REML with several options including EM-REML and heterogeneous residual variances (S. Tsuruta) 
-  * [[readme.aireml|AIREMLF90]] - Average Information REML with several options including EM-REML and heterogeneous residual variances (S. Tsuruta) +  * CBLUP90  - solutions for bivariate linear-threshold models (works only for 2 trait model: threshold and linear)
-  * CBLUP90  - solutions for bivariate linear-threshold models+
   * CBLUP90THR - as above but with thresholds computed and many linear traits (B. Auvray)   * CBLUP90THR - as above but with thresholds computed and many linear traits (B. Auvray)
-  * CBLUP90REML - as above but with quasi REML (B. Auvray) +  * CBLUP90REML - as above but with quasi REML (B. Auvray) - no genomic 
-  * GIBBSF90 - simple block implementation of Gibbs sampling+  * GIBBSF90 - simple block implementation of Gibbs sampling - no genomic
   * [[readme.gibbs1|GIBBS1F90]] - as above but faster for creating mixed model equations only once   * [[readme.gibbs1|GIBBS1F90]] - as above but faster for creating mixed model equations only once
   * [[readme.gibbs2|GIBBS2F90]] - as above but with joint sampling of correlated effects   * [[readme.gibbs2|GIBBS2F90]] - as above but with joint sampling of correlated effects
   * [[readme.gibbs3|GIBBS3F90]] - as above with support for heterogeneous residual variances   * [[readme.gibbs3|GIBBS3F90]] - as above with support for heterogeneous residual variances
 +  * [[readme.gibbscen|GIBBS2CEN]] - support censored data (J. Arango) - no genomic
 +  * [[readme.gibbsrecur|GIBBS2RECUR]] - support recursive models (J. P. Sanchez) - no genomic
   * [[readme.postgibbs|POSTGIBBSF90]] - statistics and graphics for post-Gibbs analysis (S. Tsuruta)   * [[readme.postgibbs|POSTGIBBSF90]] - statistics and graphics for post-Gibbs analysis (S. Tsuruta)
-  * THRGIBBSF90 - Gibbs sampling for any combination of categorical and linear traits (D. Lee)+  * THRGIBBSF90 - Gibbs sampling for any combination of categorical and linear traits (D. Lee) - no genomic
   * [[readme.thrgibbs1|THRGIBBS1F90]] - as above but simplified with several options (S. Tsuruta)   * [[readme.thrgibbs1|THRGIBBS1F90]] - as above but simplified with several options (S. Tsuruta)
   * [[Readme.Renumf90|RENUMF90]] - a renumbering program that also can check pedigrees and assign unknown parent groups; supports large data sets   * [[Readme.Renumf90|RENUMF90]] - a renumbering program that also can check pedigrees and assign unknown parent groups; supports large data sets
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 Available by request Available by request
-  * MRF90 - Method R program suitable for very large data sets; contact T. Druet.+  * QXPAK - joint analysis of QTL and polygenic effects (M. Perez-Enciso) [[http://www.icrea.cat/Web/OtherSectionViewer.aspx?key=485&titol=Software:Qxpak | QxPak web page]] 
 +  * MRF90 - Method R program suitable for large data set; contact T. Druet.
   * COXF90 – Bayesian Cox model - contact J. P. Sanchez (JuanPablo.Sanchez@irta.cat)   * COXF90 – Bayesian Cox model - contact J. P. Sanchez (JuanPablo.Sanchez@irta.cat)
   * BLUPF90HYP – BLUPF90 with hypothesis testing (F and Chi2 tests) - contact J. P. Sanchez as above   * BLUPF90HYP – BLUPF90 with hypothesis testing (F and Chi2 tests) - contact J. P. Sanchez as above
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 Available only under research agreement Available only under research agreement
   * [[readme.pcg2|BLUP90IOD2]] - BLUP by iteration on data with PCG for very large models (S. Tsuruta)   * [[readme.pcg2|BLUP90IOD2]] - BLUP by iteration on data with PCG for very large models (S. Tsuruta)
-  * [[readme.thr1pcg|CBLUP90IOD]] - BLUP by iteration on data for threshold-linear models+  * [[readme.thr1pcg|CBLUP90IOD]] - BLUP by iteration on data for threshold-linear models (working for one threshold and several linear traits) 
 +  * CBLUP90MBE - BLUP by iteration on data for threshold-linear models (working for one threshold and several linear traits) with support for very large models for multi-breed evaluations
   * [[readme.acc|ACCF90]] - approximation of accuracies for breeding values   * [[readme.acc|ACCF90]] - approximation of accuracies for breeding values
-  * BLUP90MBE - BLUP by iteration on data with support for very large models for multi-breed evaluations+  * BLUP90MBE - BLUP by iteration on data with support for very large models for multi-breed evaluations (A. Legarra)
   * [[readme.blupadj|BLUP90ADJ]] - BLUP data preadjustment tool   * [[readme.blupadj|BLUP90ADJ]] - BLUP data preadjustment tool
      
application_programs.txt · Last modified: 2024/06/19 14:22 by andres

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