Dear all,
We’re excited to announce our upcoming online course: Genome-Wide Prediction of Complex Traits, taking place from March 24-28, 2025.
Course Overview:
This course will provide a comprehensive introduction to genomic prediction for animals, plants, and humans. Participants will learn key quantitative genetics concepts, explore linear mixed models, and apply machine learning approaches for genome-enabled prediction.
Who Should Attend?
Researchers, students, and professionals in genetics, breeding, or human genomics
Those looking to implement genomic prediction methods in their work
Participants with basic knowledge of R, Unix, and genomic data will benefit the most
This hands-on course is designed for students, researchers, and professionals working on genomic prediction in animals, plants, and humans. Through a combination of lectures and practical exercises, participants will learn to:
- Compute genomic breeding values & genomic risk scores
Apply linear mixed models, Bayesian regression, and machine learning
Implement cross-validation strategies for complex trait prediction
Analyze genomic data using R, Linux, and specialized software
Course highlights:
Day 1: Introduction to Genomic Prediction & Quantitative Genetics
Day 2: Pedigree vs. Genomic-based Prediction & Dimensionality Issues
Day 3: GBLUP, Bayesian Regression, and Post-Gibbs Convergence
Day 4: Bayesian Methods, Machine Learning & Predictive Metrics
Day 5: Workshop on Genome-Enabled Prediction
More info & registration: https://www.physalia-courses.org/courses-workshops/course49b/