Table of Contents
Documentation and manual
BLUPF90 manual is available at BLUPF90 manual
- Click on FAQ to see which programs/options to use. Click on program sequence to see which programs need to be run in sequence.
- The whole philosophy of the suite is in imisztal.pdf.
- The detailed description and individual options of each program can be found in application_programs.
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.
Tutorial
A tutorial of BLUPF90 programs is available as Introduction to BLUPF90 suite programs.
- Revised in September 2019.
- This is an updated version of the course note that we provided the participants in our Summer Course 2018.
- The numerical examples used in this tutorial are available at Yutaka Masuda's Github repository (https://github.com/masuday/data/tree/master/tutorial).
- The source files of this tutorial is also available on Github (https://github.com/masuday/Blupf90TutorialStandard). You can contribute to revise the tutorial on Github!
Another more specific tutorial concerns the use of blupf90 software to analyze crosses using the theory of metafounders and SSGBLUP, and it is available at (http://genoweb.toulouse.inra.fr/~alegarra/ThreeWayDist/crosses_blupf90.pdf).
Legacy documentation
The following is the original documentation of our programs. The manual has the same information.
- The main documentation describes the parameter files, the use use of
BLUPF90
, and the kind of models that can be fit: blupf90.pdf. - The documentation on the variance component estimator
REMLF90
: remlf90.pdf. - See course materials on genomic analyses. Also, see an example of genomic computations in example_genomic.pdf.
Those interested in programming can access notes from a computing class in Fortran 95.
The denseop, sparseop and fspak libraries have (outdated) denseop.pdf sparse90.pdf and fspak.pdf documentation.
READMEs and documentation are hard to follow without an understanding of Mixed Models as applied to Animal Breeding. A free, highly recommended material is Larry Schaeffer's notes.