Dear BioStars community,

We're running a live online course on Genomic Prediction of Complex Traits (GPCT01), designed for researchers working in bioinformatics, computational biology, statistical genomics, quantitative genetics, and related fields.

Genomic prediction has become a core methodology in modern genomics, enabling researchers to predict complex phenotypes from genome-wide marker data using advanced statistical and machine learning approaches. Although widely adopted in plant and animal breeding, these methods are increasingly being applied across evolutionary biology, human genetics, conservation genomics, and functional genomics.

Topics include

Principles of genomic prediction and quantitative genetics, Genomic Best Linear Unbiased Prediction (GBLUP), Bayesian genomic prediction models, Marker effects and genomic relationship matrices, Cross-validation and model evaluation, Prediction accuracy and model comparison, Feature selection and regularisation approaches, Practical implementation using R, Interpreting genomic prediction models, Applications to real genomic datasets.

The course is suitable for researchers working in:

Bioinformatics, Computational biology, Statistical genomics, Quantitative genetics, Population genetics, Evolutionary genomics, Plant and animal breeding, Conservation genomics, Human genetics.

Course details

Course: Genomic Prediction of Complex Traits (GPCT01)

Format: Live online, instructor-led with practical coding sessions

Level: Intermediate

Further information and registration:

https://prstats.org/course/genomic-prediction-of-complex-traits-gpct01/

Best, Oliver Hooker PR Stats https://www.prstats.org