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application_programs [2019/06/06 00:23] daniapplication_programs [2024/04/17 17:18] andres
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 **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> **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_all7.pdf|BLUPF90 family manual}}. Note that some programs repertoried below are not in the manual (e.g. ''inbupgf90'')+Download {{:blupf90_all8.pdf|BLUPF90 family manual}}. Note that some programs shown below are not in the manual (e.g. ''inbupgf90'')
  
-   * [[readme.blupf90|BLUPF90]] - BLUP in memory +\\ 
-   * [[readme.reml|REMLF90]] - accelerated EM REML +How to cite the BLUPF90 manual: 
-   * [[readme.aireml|AIREMLF90]] - Average Information REML with several options including EM-REML and heterogeneous residual variances (STsuruta) +Misztal I., Tsuruta S., Lourenco D.A.L., Aguilar I., Legarra A., and Vitezica Z. 2014Manual for BLUPF90 family of programs.  
-  CBLUP90  - solutions for bivariate linear-threshold models (works only for 2 trait modelthreshold and linear) + 
-  CBLUP90THR - as above but with thresholds computed and many linear traits (B. Auvray) +\\ 
-  CBLUP90REML - as above but with quasi REML (B. Auvray) - no genomic +===== Programs ===== 
-  * [[readme.gibbs|GIBBSF90]] - simple block implementation of Gibbs sampling - no genomic + 
-  * [[readme.gibbs1|GIBBS1F90]] - as above but faster for creating mixed model equations only once +**Available for research (free with restriction# genotyped animals = 25,000)** 
-  * [[readme.gibbs2|GIBBS2F90]] - as above but with joint sampling of correlated effects +  * [[readme.blupf90plus|BLUPF90+]] - a combined program of blupf90, remlf90, and airemlf90 
-  * [[readme.gibbs3|GIBBS3F90]] - as above with support for heterogeneous residual variances +  * [[readme.gibbsf90plus|GIBBSF90+]] - a combined program of gibbs1f90, gibbs2f90, gibbs3f90, thrgibbs1f90, and thrgibbs3f90
-  * [[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) - no genomic 
-  * [[readme.thrgibbs1|THRGIBBS1F90]] - as above but simplified with several options (S. Tsuruta) 
-  * [[readme.thrgibbs3|THRGIBBS3F90]] - as above with heterogeneous residual variances for linear traits 
   * [[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
 +  * [[readme.pregsf90|PREGSF90]] – genomic preprocessor that combines genomic and pedigree relationships (I. Aguilar)
 +  * [[readme.pregsf90|POSTGSF90]] – genomic postprocessor that extracts SNP solutions after genomic evaluations (single step, GBLUP) (I. Aguilar)
 +  * [[Readme.predictf90|PREDICTF90]] - a program to calculate adjusted y, y_hat, and residuals (I. Aguilar)
 +  * [[Readme.predf90|PREDF90]] - a program to predict direct genomic value (DGV) for animals based on genotypes and SNP solution
 +  * [[readme.qcf90|QCF90]] - a quality-control tool on genotypes and pedigree information (Y. Masuda)
   * [[Readme.Inbupgf90|INBUPGF90]] - a program to calculate inbreeding coefficients with incomplete pedigree (I. Aguilar)    * [[Readme.Inbupgf90|INBUPGF90]] - a program to calculate inbreeding coefficients with incomplete pedigree (I. Aguilar) 
   * [[Readme.SeekParentf90|SEEKPARENTF90]] -  a program to verify paternity and parent discovery using SNP markers (I. Aguilar)   * [[Readme.SeekParentf90|SEEKPARENTF90]] -  a program to verify paternity and parent discovery using SNP markers (I. Aguilar)
-  * [[Readme.pedictf90|PREDICTF90]] - a program to calculate adjusted y, y_hat, and residuals (I. Aguilar) +  * [[Readme.validationf90|VALIDATIONF90]] -  a program to perform forward validation of predictions (coming soon!
-  * PREDF90 - a program to predict direct genomic value (DGVfor animals based on genotypes and SNP solution + 
-  * [[readme.qcf90|QCF90]] - a quality-control tool on genotypes and pedigree information (Y. Masuda) +/*Included in application programs*/ 
-  [[readme.blupf90new|BLUPF90TEST (new BLUPF90)]] - a combined program of blupf90, remlf90, and airemlf90: under test + 
-  [[readme.gibbsf90new|GIBBSF90TEST (new GIBBSF90)]] - a combined program of gibbs2f90, gibbs3f90, thrgibbs1f90, and thrgibbs3f90: under test +**Available by request**
-  +
-Available by request+
   * 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]]   * 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 a large data set; contact T. Druet.   * MRF90 - Method R program suitable for a large data set; contact T. Druet.
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   * 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
      
-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)
-  * BLUP90IOD2R & BLUP90IOD2HR - BLUP90IOD2 with heterogeneous residual variances +  * [[readme.thr1pcg|CBLUP90IOD2]] - BLUP by iteration on data for threshold-linear models (working for one threshold and several linear traits)
-  * [[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   * 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
   * [[readme.accgs|ACCF90GS]] - approximation of accuracies for genomic breeding values   * [[readme.accgs|ACCF90GS]] - approximation of accuracies for genomic breeding values
-  * BLUP90MBE BLUP by iteration on data with support for very large models for multi-breed evaluations (A. Legarra)+  * [[readme.accgs2|ACCF90GS2]] new approximation of accuracies for genomic breeding values
   * [[readme.blupadj|BLUP90ADJ]] - BLUP data preadjustment tool   * [[readme.blupadj|BLUP90ADJ]] - BLUP data preadjustment tool
   * [[readme.deproofs|DEPROOFSF90]] - computation of deregressed proof (DRP)   * [[readme.deproofs|DEPROOFSF90]] - computation of deregressed proof (DRP)
   * [[readme.dyd|DYDF90]] - computation of daughter yield deviation (DYD) known as progeny trait deviation   * [[readme.dyd|DYDF90]] - computation of daughter yield deviation (DYD) known as progeny trait deviation
-  * [[readme.pcgtest|BLUP90IODTEST (new BLUP90IOD)]] - a combined program of BLUP90IOD2, BLUP90IOD2Rand BLUP90IOD2HR: under test+  * [[readme.pcgtest|BLUP90IOD3 (new BLUP90IOD)]] - a combined program of BLUP90IOD2, BLUP90IOD2RR BLUP90IOD2HR, and BLUP90MBE2 with new features
      
-Included in application programs +**No longer updated (as of May 2022)** 
-  * [[readme.pregsf90|PREGSF90]] – genomic preprocessor that combines genomic and pedigree relationships (IAguilar+  * [[readme.blupf90|BLUPF90]] - BLUP in memory 
-  * [[readme.pregsf90|POSTGSF90]] – genomic postprocessor that extracts SNP solutions after genomic evaluations (single step, GBLUP) (IAguilar)+  * [[readme.reml|REMLF90]] - accelerated EM REML 
 +  * [[readme.aireml|AIREMLF90]] - Average Information REML with several options including EM-REML and heterogeneous residual variances (S. Tsuruta) 
 +  * [[readme.gibbs|GIBBSF90]] - simple block implementation of Gibbs sampling - no genomic 
 +  * [[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.gibbs3|GIBBS3F90]] - as above with support for heterogeneous residual variances 
 +  * 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.thrgibbs3|THRGIBBS3F90]] - as above with heterogeneous residual variances for linear traits 
 +  * CBLUP90  - solutions for bivariate linear-threshold models (works only for 2 trait model: threshold and linear) 
 +  * CBLUP90THR - as above but with thresholds computed and many linear traits (BAuvray) 
 +  * CBLUP90REML - as above but with quasi REML (B. Auvray) - no genomic 
 +  * [[readme.gibbscen|GIBBS2CEN]] - support censored data (J. Arango) - no genomic 
 +  * [[readme.gibbsrecur|GIBBS2RECUR]] - support recursive models (J. P. Sanchez) - no genomic 
 +  * BLUP90IOD2RR & BLUP90IOD2HR - BLUP90IOD2 with heterogeneous residual variances (like in GIBBS3F90 & AIREMLF90) 
 +  * BLUP90MBE - BLUP by iteration on data with support for very large models for multi-breed evaluations (ALegarra) 
  
 Other programming contributions were made by Miguel Perez-Enciso ''(user_file)'' and François Guillaume (Jenkins hashing functions). Other programming contributions were made by Miguel Perez-Enciso ''(user_file)'' and François Guillaume (Jenkins hashing functions).
application_programs.txt · Last modified: 2024/04/17 19:03 by andres

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