Population Genomics and Structure Analysis (PGSA01) – Applications for Evolutionary Biology Only 6 places left! 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, statistical modelling, dimensionality reduction, clustering, and computational biology. Learn how to analyse population structure, genetic differentiation, ancestry, gene flow, introgression, and genomic variation, using methods with direct applications across evolutionary biology, population genetics, evolutionary genomics, and studies of adaptation and demographic history. Population genomic data provide powerful opportunities to investigate the evolutionary processes shaping genetic variation within and among populations. Patterns of genomic differentiation can reveal population divergence, migration, admixture, introgression, demographic history, and signatures of selection, helping researchers reconstruct evolutionary histories and understand how populations have responded to natural selection and past environmental change. What you'll gain Practical skills for processing and analysing population genomic data Understanding of genetic variation, SNP discovery, and variant calling Experience analysing low-coverage sequencing data using ANGSD Skills using PCA, MDS, t-SNE, and UMAP to explore population structure Understanding of the effects of sampling design on population genomic inference Practical experience with ADMIXTURE, STRUCTURE, and NGSadmix Skills investigating ancestry and admixture among populations Experience using ChromoPainter and fineSTRUCTURE to investigate fine-scale population structure Understanding and interpretation of FST, F2, and F3 statistics Approaches for conducting selection scans and identifying population differentiation Experience using F4 and D-statistics to investigate introgression and gene flow Confidence interpreting genomic patterns in an evolutionary context Course format 5-day live, instructor-led online course 25 hours of training Practical analysis of population genomic datasets Hands-on experience with widely used population-genetic software Training across R, Python, and computational genomic workflows All course 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, and introgression Researchers studying demographic and evolutionary history Conservation and molecular geneticists Postgraduate students and early-career researchers A basic background in genetics and molecular biology is expected, together with some familiarity with R, Python, or Bash. Previous experience with population genetics or next-generation sequencing is beneficial but not essential. Why take this course? Population genomics provides a powerful framework for investigating the evolutionary forces responsible for shaping genetic diversity within and among populations. Processes including natural selection, genetic drift, migration, population isolation, demographic change, hybridisation, and introgression all leave detectable signatures in genomic data. This course introduces practical methods for identifying and interpreting those signatures. PCA and ancestry-based approaches can reveal population structure and evolutionary relationships, while F-statistics provide tools for quantifying differentiation and examining shared ancestry. Selection scans can identify genomic regions potentially affected by natural selection, while D-statistics and related approaches can be used to investigate introgression and historical gene flow. These methods have particularly strong applications in evolutionary genetics, population genomics, adaptation, speciation research, hybridisation, demographic history, and comparative population studies. Whether you're investigating population divergence, evolutionary history, local adaptation, genetic differentiation, ancestry, admixture, selection, or introgression, this course provides practical tools for using genomic data to address fundamental questions in evolutionary biology. 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)