Population Genomics and Structure Analysis (PGSA01) – Applications for Evolutionary Biology https://prstats.org/course/population-genomics-and-structure-analysis-pgsa01/ Delivered by Dr. Nikolay Oskolkov, a bioinformatician, computational biologist, and data scientist with extensive experience in population genomics, evolutionary biology, ancient DNA, dimensionality reduction, clustering, and computational biology. Learn how to analyse population structure, genetic differentiation, ancestry, gene flow, introgression, and genomic variation, with methods directly applicable to evolutionary genetics, evolutionary genomics, adaptation, population divergence, and demographic history. Population genomic data provide powerful insights into the evolutionary processes shaping genetic diversity within and among populations. Genomic patterns can reveal population divergence, migration, admixture, introgression, demographic history, and signatures of selection, allowing researchers to investigate how natural selection, genetic drift, gene flow, and historical processes have shaped populations through time. What you'll gain Practical skills for processing and analysing population genomic data Analysis of genetic variation and low-coverage sequencing data using ANGSD PCA, MDS, t-SNE, and UMAP for investigating population structure Understanding of sampling effects and potential biases in population genomic inference Ancestry and population structure analysis using ADMIXTURE, STRUCTURE, and NGSadmix ChromoPainter and fineSTRUCTURE for fine-scale population structure Interpretation of FST, F2, and F3 statistics Selection scans for identifying signals of population differentiation F4 and D-statistics for investigating admixture, introgression, and gene flow Practical experience interpreting genomic patterns within an evolutionary framework Course format 5-day live, instructor-led online course 25 hours of training Lectures combined with practical population genomic analyses Hands-on experience with widely used population-genetics software Practical work using R, Python, Google Colab, and Posit Cloud Code, datasets, and presentation materials provided All sessions recorded 30 days of recording access and post-course email support Who is this course for? Evolutionary biologists Population and evolutionary geneticists Evolutionary genomic researchers Molecular evolution researchers Researchers studying adaptation and population divergence Researchers investigating gene flow, admixture, hybridisation, and introgression Researchers reconstructing population and demographic history Conservation and population genomic researchers Postgraduate students and early-career researchers Why take this course? Many fundamental questions in evolutionary biology concern how and why populations become genetically differentiated. Natural selection, genetic drift, migration, demographic change, geographic isolation, admixture, and hybridisation can all leave characteristic signatures in genomic data. Population genomics provides a powerful toolkit for identifying and interpreting these signatures. Dimensionality-reduction and ancestry methods can reveal population structure and relationships, while F-statistics provide approaches for quantifying differentiation and shared ancestry. Selection scans can identify genomic regions showing unusual patterns of differentiation, and F4 and D-statistics can be used to investigate admixture, introgression, and historical gene flow. These approaches have particularly strong applications in evolutionary genetics, population genomics, adaptation, speciation, hybridisation, demographic history, and the reconstruction of evolutionary relationships among populations. Whether you're investigating population divergence, adaptation, genetic structure, ancestry, selection, gene flow, hybridisation, introgression, or demographic history, this course provides practical tools for incorporating population genomic analyses into evolutionary research. Course dates 28 September – 2 October 2026 25 hours | Live online | £400 Learn more & enrol https://prstats.org/course/population-genomics-and-structure-analysis-pgsa01/ Questions? Email: oliver@prstats.org (to subscribe/unsubscribe the EvolDir send mail to evoldir@evoldir.net)