Dear all, We are excited to announce that registrations are now open for our upcoming online course (5th edition) "Population Genomic Inference from Low-Coverage Whole-Genome Sequencing Data" taking place from October 21-24. Course website: ( https://www.physalia-courses.org/courses-workshops/course64/ ) Course Overview: This course offers a cost-effective approach to survey genome-wide variation at a population scale using low-coverage sequencing. Participants will learn how to navigate the challenges of high genotyping uncertainty through probabilistic frameworks, essential for accurate population genomic inference. Key topics include: Workflows centered around genotype likelihoods for whole-genome and reduced representation studies. Methods and algorithms in the ANGSD software package and related programs. Best-practice guidelines for processing and analyzing low-coverage sequencing data. Target Audience: This course is ideal for researchers with experience in next-generation sequencing (NGS) (e.g., exome, RAD, pooled sequencing) who are interested in low-coverage whole-genome sequencing. It is also suitable for those seeking an introduction to the ANGSD software and its probabilistic framework. Prerequisites: Participants should have a basic background in population genomics and familiarity with NGS data. Knowledge of UNIX-based command line and R is advantageous. Participants without prior experience in Unix and R should complete suggested tutorials beforehand, as the course will not cover these environments in detail. Course Outcomes: By the end of the course, participants will: Understand the use of whole-genome sequencing for population genomics. Recognize the challenges and statistical frameworks of low-coverage sequencing data. Be able to build bioinformatic pipelines for various population genomic analyses using ANGSD/ngsTools/Atlas. Teaching Format: The course includes interactive lectures, small exercises, and longer independent practical sessions each day. Data for exercises will be provided. Best regards, Carlo Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org mobile: +49 17645230846 "info@physalia-courses.org" (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)