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2026-2027 / VDOC0092-1

Applications of animal genetics based on genotype data

Duration

5h Th, 10h Mon. WS

Number of credits

 Doctoral training in veterinary sciences2 crédits 

Lecturer

Tom Druet

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course focuses on applications in the fields of population genetics and quantitative genetics. The development of genotyping and genome resequencing technologies has paved the way for numerous studies in these fields. It is possible to study populations of agronomic interest, model organisms, and wild populations. This course therefore includes a series of quantitative/population genetics applications carried out on animal populations (domestic animals, wild animals). These applications are based on the use of molecular markers (genotyping data). Each application is organized into a two-hour session, which includes an introduction to relevant genetic concepts and an explanation of how to use quantitative/population genetics software to study populations. The session also covers an introduction to practical applications.

Afterwards, students analyze genomic data independently following instructions, and the results are discussed at the next session. Students can contact the teacher if they encounter any difficulties.

 

Learning outcomes of the learning unit

This course aims to prepare students to understand various concepts in quantitative and population genetics used to study or manage animal populations. Students will be expected to identify the appropriate analysis, install software, and execute the appropriate commands (using instructions or user manuals). Students will be expected to interpret the results and explain them.

Prerequisite knowledge and skills

Basic knowledge of genetics is required. In addition, students must be able to use software such as R to read analysis results and create graphs. They must also be able to use R to perform basic statistical calculations. Students must also be able to work in Linux (command line/bash) in order to run these programs. 

Planned learning activities and teaching methods

This course therefore includes a series of quantitative/population genetics applications carried out on animal populations (domestic animals, wild animals). These applications are based on the use of molecular markers (genotyping data). Each application is organized into a two-hour session, which includes an introduction to relevant genetic concepts and an explanation of how to use quantitative/population genetics software to study populations. The session also covers an introduction to practical applications.

Afterwards, students analyze genomic data independently following instructions, and the results are discussed at the next session. Students can contact the teacher if they encounter any difficulties.

 

 

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning


Further information:

Instruction takes place in person (theoretical components, explanation of instructions, analysis of results) and through independent study assignments completed remotely.

Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus


Further information:

The slideshows used in class are available on e-campus. The data needed for the analyses, along with the instruction sheets for each session, will also be available there.

Continuous assessment


Further information:

Attendance at the sessions is required to earn credit.

Work placement(s)

Organisational remarks and main changes to the course

Software must be installed before the first session. The student must have a laptop running under linux (or mac).

Contacts

tom.druet@uliege.be

Association of one or more MOOCs