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/