Population Genomics Data Analysis Course & Workshop

Themes: Population Genomics, Molecular Ecology,
Conservation Genetics. Understanding Population Structure and Environmental
Influences on Genomic Variation - using Next Gen Sequencing Data &
key computational approaches.

Instructors include experts:
Eric Anderson, Ellie Armstrong, Jessica Da Silva, Paul Hohenlohe,
Marty Kardos, Brenna Forester, Paul Grobler, Will Hemstrom, Gordon
Luikart, Monica Mwale, Rena Schweizer,Lisette Waits, Robin Waples,
Paulette Bloomer, Sandi Willows-Munroe, and more.

When: December 7 - 12,
2025. Plus an optional December 13 -16 field
trip to Kruger National Park

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 and interpretation of output from important statistical
approaches, software, and bioinformatic pipelines.  You'll work from raw
reads to produce genotypes and the crucial steps of filtering (Hemstrom
et al. 2024, Nature GR). The course teaches the coalescent, Bayesian,
and likelihood-based approaches. 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 some understanding of
population genetics & ecology, R and Linux (see below).

BEFORE the course:
Tutorials are given on Zoom 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.

Publication: We will likely publish together a meeting review
(as 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" <gordon.luikart@mso.umt.edu>

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