[Mitarbeiter.zoologie] Fwd: Course: Online.PopGenLowCoverageWGS.Oct21-24

[Robert Paxton]

Dear All,

As many of you are undertaking genomic analyses, I send this around the entire group. It might be something to consider.

Robert


> Begin forwarded message:
> 
> From: evoldir at evol.biology.mcmaster.ca
> Subject: Course: Online.PopGenLowCoverageWGS.Oct21-24
> Date: 27 May 2024 at 06:12:21 CEST
> To: robert.paxton at zoologie.uni-halle.de
> Reply-To: <info at physalia-courses.org>
> 
> 
> 
> 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 at physalia-courses.org
> mobile: +49 17645230846
> 
> 
> 
> "info at physalia-courses.org" <info at physalia-courses.org>
> 
> (to subscribe/unsubscribe the EvolDir send mail to
> golding at mcmaster.ca<mailto:golding at mcmaster.ca>)
> 
> 


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