Population Genomics Data Analysis Course & Workshop Themes: Conservation Genetics, Population Genomics, and Molecular Ecology. Understanding Population Structure and Environmental Influences on Genomic Variation - using Next Gen Sequencing Data & key computational approaches. Includes RADseq, genome sequencing & assembly, & SNP typing from raw reads to genotypes and many analyses to prepare you for future genomics data analyses. Also includes microsatellite data and concepts because many labs & countries still use microsat markers. Instructors include experts: Eric Anderson, Ellie Armstrong, Jessica Da Silva, Marty Kardos, Brenna Forester, Paul Grobler, Will Hemstrom, Gordon Luikart, Monica Mwale, Rena Schweizer, Lisette Waits, Robin Waples, and more. When: December 7 - 14, 2025. First (Overview) Lecture Sunday night the 7th, last lecture Saturday14th Where: University of Pretoria, South Africa (https://www.up.ac.za/ ). Details and registration: see https://www.umt.edu/congen/africa/ Course Objective: To teach conceptual and practical aspects of data analysis to understand the evolutionary and ecological genomics of natural and managed populations. Emphasis is on next-generation sequence data analysis (RADs, whole-genome sequence analyses) and interpretation of output from common and new statistical approaches, software, and bioinformatic pipelines. We teach how work from raw reads to produce quality genotypes and the crucial steps of filtering (Hemstrom et al. 2024). The course teaches the coalescent, Bayesian, and likelihood-based approaches. Special lectures and hands-on exercises are conducted on population structure, detecting selection, effective population size, landscape genomics, inbreeding detection (RoH), genome assembly, and more. Evening sessions allow hands-on analyses of your data with instructors. Who should apply: Advanced Undergrads, M.S. & Ph.D. students, post-docs, PIs (agency biologists), and faculty who have understanding of population genetics & population ecology, R and Linux (see below). Credit/certificate: Students can get 3 credits from The U of Montana, and a Certificate of course completion. What you receive: 3 Lectures a day (video-recorded) by >10 expert instructors with question & answer sessions, copies of lecture PowerPoint slides, and hands-on exercise worksheets with dummy datasets. Training running RStudio and Linux that starts 4 weeks BEFORE the course; Tutorials are given 4 weeks before the course to help you learn Linux & R. Links to video recordings of past ConGen lectures. A field trip to amazing Kruger National Park is the 4 days after the course to learn wildlife and habitat ecology, and local research. Publication: We will likely publish together a meeting review (e.g., below) to help advance the field and improve your ability to publish. Schweizer et al. 2021: doi.org/10.1093/jhered/esab019; Stahlke et al. 2020: doi.org/10.1093/jhered/esaa001; Hendricks et al. 2018: doi.org/10.1111/eva.12659 "Luikart, Gordon" (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)