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application_programs [2022/05/04 00:35] daniapplication_programs [2022/05/06 18:15] dani
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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_all7.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.blupf90plus|BLUPF90+]] - a combined program of blupf90, remlf90, and airemlf90 
-   * [[readme.reml|REMLF90]] - accelerated EM REML +  * [[readme.gibbsf90plus|GIBBSF90+]] - a combined program of gibbs1f90, gibbs2f90, gibbs3f90, thrgibbs1f90, and thrgibbs3f90
-   * [[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 (works only for 2 trait model: threshold and linear)
   * 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) - no genomic   * CBLUP90REML - as above but with quasi REML (B. Auvray) - no genomic
-  * [[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 
   * [[readme.gibbscen|GIBBS2CEN]] - support censored data (J. Arango) - no genomic   * [[readme.gibbscen|GIBBS2CEN]] - support censored data (J. Arango) - no genomic
   * [[readme.gibbsrecur|GIBBS2RECUR]] - support recursive models (J. P. Sanchez) - 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.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) 
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   * PREDF90 - a program to predict direct genomic value (DGV) for animals based on genotypes and SNP solution   * 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.qcf90|QCF90]] - a quality-control tool on genotypes and pedigree information (Y. Masuda)
-  * [[readme.blupf90new|BLUPF90+ (new BLUPF90)]] - a combined program of blupf90, remlf90, and airemlf90 +
-  * [[readme.gibbsf90new|GIBBSF90+ (new GIBBSF90)]] - a combined program of gibbs2f90, gibbs3f90, thrgibbs1f90, and thrgibbs3f90 +
- +
 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]]
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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)
-  * BLUP90IOD2R & BLUP90IOD2HR - BLUP90IOD2 with heterogeneous residual variances +  * BLUP90IOD2RR & BLUP90IOD2HR - BLUP90IOD2 with heterogeneous residual variances (like in GIBBS3F90 & AIREMLF90) 
-  * [[readme.thr1pcg|CBLUP90IOD]] - BLUP by iteration on data for threshold-linear models (working for one threshold and several linear traits)+  * [[readme.thr1pcg|CBLUP90IOD2]] - 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
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   * [[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, BLUP90IOD2R, and BLUP90IOD2HR: under test+  * [[readme.pcgtest|BLUP90IODTEST (new BLUP90IOD)]] - a combined program of BLUP90IOD2, BLUP90IOD2RR, and BLUP90IOD2HR: under test
      
 Included in application programs Included in application programs
   * [[readme.pregsf90|PREGSF90]] – genomic preprocessor that combines genomic and pedigree relationships (I. Aguilar)   * [[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.pregsf90|POSTGSF90]] – genomic postprocessor that extracts SNP solutions after genomic evaluations (single step, GBLUP) (I. Aguilar)
 +
 +Deprecated programs (as of May 2022)
 +  * [[readme.blupf90|BLUPF90]] - BLUP in memory
 +  * [[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
  
 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: 2024/06/19 14:22 by andres

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