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application_programs [2022/05/10 21:48] daniapplication_programs [2023/11/21 22:49] shogo
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 Download {{:blupf90_all8.pdf|BLUPF90 family manual}}. Note that some programs shown 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'')
 +
 +\\
 +:!: How to cite the BLUPF90 manual:
 +Misztal I., Tsuruta S., Lourenco D.A.L., Aguilar I., Legarra A., and Vitezica Z. 2014. Manual for BLUPF90 family of programs. 
 +
 \\ \\
 ===== Programs ===== ===== Programs =====
  
-**Available for research (free)**+**Available for research (free with restriction)**
   * [[readme.blupf90plus|BLUPF90+]] - a combined program of blupf90, remlf90, and airemlf90   * [[readme.blupf90plus|BLUPF90+]] - a combined program of blupf90, remlf90, and airemlf90
   * [[readme.gibbsf90plus|GIBBSF90+]] - a combined program of gibbs1f90, gibbs2f90, gibbs3f90, thrgibbs1f90, and thrgibbs3f90   * [[readme.gibbsf90plus|GIBBSF90+]] - a combined program of gibbs1f90, gibbs2f90, gibbs3f90, thrgibbs1f90, and thrgibbs3f90
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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)
-  * BLUP90IOD2RR & BLUP90IOD2HR - BLUP90IOD2 with heterogeneous residual variances (like in GIBBS3F90 & AIREMLF90) 
   * [[readme.thr1pcg|CBLUP90IOD2]] - 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
   * [[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, BLUP90IOD2RR, and BLUP90IOD2HR: under test+  * [[readme.pcgtest|BLUP90IOD3 (new BLUP90IOD)]] - a combined program of BLUP90IOD2, BLUP90IOD2RR,  BLUP90IOD2HR, and BLUP90MBE2 with new features
      
 **No longer updated (as of May 2022)** **No longer updated (as of May 2022)**
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   * [[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
 +  * 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 (A. Legarra)
 +
  
 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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