Population Genomics and Structure Analysis (PGSA01) – Applications for Evolutionary Biology
Delivered by Dr. Nikolay Oskolkov, a computational biologist and bioinformatician with expertise in population genomics, evolutionary biology, machine learning, and statistical genomics.
Learn how to analyse population structure using modern genomic tools, with methods that are central to evolutionary biology, population genetics, and evolutionary genomics.
Population structure inference lies at the heart of evolutionary biology. Modern genomic technologies now allow researchers to investigate population divergence, demographic history, gene flow, adaptation, admixture, and introgression at unprecedented resolution. This hands-on course provides practical training in the statistical and computational methods used to analyse modern and ancient genomic datasets, helping researchers answer fundamental questions about evolutionary processes. What you'll gain
- A strong understanding of population genomics and population genetic theory
- Practical experience analysing genomic variation using modern software tools
- Skills in population structure, ancestry inference, and clustering analyses
- Understanding of demographic history, gene flow, admixture, and introgression
- Confidence in interpreting genomic patterns within an evolutionary framework
- Live, instructor-led online training
- Hands-on coding with real-world genomic datasets
- Interactive practical exercises throughout
- Strong focus on applied, research-ready workflows
- Evolutionary biologists and population geneticists
- Evolutionary ecologists and comparative biologists
- Bioinformaticians and computational biologists
- Researchers working with SNP, RAD-seq, whole-genome, or ancient DNA datasets
- PhD students and quantitative life scientists
Understanding how populations evolve through time is fundamental to evolutionary biology. Population genomic methods enable researchers to reconstruct demographic history, quantify gene flow, detect natural selection, identify hybridisation events, and investigate the evolutionary forces shaping genetic diversity. These approaches have become indispensable for studying adaptation, speciation, phylogeography, and the genetic basis of evolutionary change.
This course equips you with the practical skills needed to analyse population genomic datasets using widely adopted tools such as ANGSD, ADMIXTURE, STRUCTURE, NGSadmix, ChromoPainter, fineSTRUCTURE, and F-statistics. Whether you're investigating population divergence, admixture, evolutionary history, or adaptation, you'll gain the analytical toolkit needed to extract robust evolutionary insights from genomic data. Learn more & enrol
PR Stats course page for Population Genomics and Structure Analysis (PGSA01)
https://prstats.org/course/populatio...alysis-pgsa01/ Questions?
Email: [email protected]