Population Genomics and Structure Analysis (PGSA01) – Applications for Marine Mammal Research
https://prstats.org/course/population-genomics-and-structure-analysis-pgsa01/
Delivered by Dr. Nikolay Oskolkov, a computational biologist specialising in population genomics, evolutionary biology, bioinformatics, and statistical genomics.
Learn how to analyse population structure using modern genomic tools, with methods that are highly applicable to marine mammal research, conservation genetics, and population management.
Advances in high-throughput sequencing have transformed marine mammal science, allowing researchers to investigate population connectivity, gene flow, demographic history, hybridisation, adaptation, and genetic diversity at unprecedented resolution. While this course focuses on population genomics and structure analysis, the statistical and computational methods are directly transferable to marine mammal research, providing powerful tools for understanding population dynamics and informing conservation and management decisions.
Population genomics has become an essential tool in marine mammal research, helping scientists investigate population connectivity, stock structure, dispersal, hybridisation, adaptation, and responses to environmental change. These approaches are increasingly used to support species conservation, identify management units, assess genetic diversity, and understand the evolutionary history of marine mammal populations.
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 studying whales, dolphins, seals, or other marine mammals, you'll gain the analytical toolkit needed to extract robust biological insights from genomic data and strengthen evidence-based conservation and management.
PR Stats course page for Population Genomics and Structure Analysis (PGSA01)
https://prstats.org/course/population-genomics-and-structure-analysis-pgsa01/
Email: oliver@prstats.org