********************WorkshopsCourses********************

Dear all,

We are excited to announce that registrations are now open for our
upcoming online course (6th edition) "Population Genomic Inference from
Low-Coverage Whole-Genome Sequencing Data" taking place from October
20-23.

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.

For the full list of our courses and workshops, please visit: (
https://www.physalia-courses.org/courses-workshops/course64/ )

Best regards, Carlo

Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846
( https://www.linkedin.com/in/physalia-courses-a64418127/ )

"info@physalia-courses.org" <info@physalia-courses.org>

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