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@@ -19,14 +19,17 @@ Material from courses, training and research activities.
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1. [basic statistics](introduction_to_animal_breeding/notebooks/stat_base.R)
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2. matrix algebra recap (super-quick)
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3. [general introduction to animal breeding](introduction_to_animal_breeding/notebooks/breeding.R)
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4. heritability estimation
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5. pedigree and kinship matrices
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6. mixed models
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7. enter genomics
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9. [runs of homozygosity (ROH) and genomic inbreeding](introduction_to_animal_breeding/notebooks/genomic_inbreeding_roh.Rmd)
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10. multiple trait models and genetic correlations
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11. selection index theory
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4. [heritability estimation](introduction_to_animal_breeding/notebooks/heritability.Rmd)
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5. [pedigree and kinship matrices](introduction_to_animal_breeding/notebooks/pedigree.Rmd)
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6. enter genomics: [genomic relationship matrices](introduction_to_animal_breeding/notebooks/g_matrix.Rmd)
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7. [runs of homozygosity (ROH) and genomic inbreeding](introduction_to_animal_breeding/notebooks/genomic_inbreeding_roh.Rmd)
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8. mixed models: [BLUP and GBLUP](introduction_to_animal_breeding/notebooks/BLUP_GBLUP.Rmd)
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9. multiple trait models and genetic correlations
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10. selection index theory
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11. brief introduction to deep learning
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12. models for image recognition: computer vision for veterinary diagnosis (and for genomic selection)
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### Resources
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- R : [The Comprehensive R Archive Network](https://cran.r-project.org/) (CRAN)
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- Python: [The Python Tutorial](https://docs.python.org/3/tutorial/)

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