Course Overview

> Students learn how to:

- Calculate and explain genetic diversity estimates, alleles
frequency
- Integrate theoretical and practical knowledge in detecting loci
involved in quantitative traits
- Integrate advanced statistics, bioinformatics, high through-put
phenotyping and genome data

A project is conducted on a dataset integrating population diversity
analysis and population structure, linkage disequilibrium estimation
and association genetics to detect loci involved quantitative traits
in crops.

A focus is carried out on dataset work.  This work is co-coordinated
with statistics and R teaching.

Learning Achievement

Competence

Course prerequisites

- Students must have completed a Master/Year 1 in Biological science.
- Knowledge of basics statistics and R, basics genetics and genomics.

Grading Philosophy

> Assessment is carried via:

- Summative assessment.
- Essay and group presentation of personal project.
- Quality of the proposal, report and presentation.
- Data study and presentation.

Course schedule

- Population genetics and genetic diversity
- Haplotype structure
- Domestication and genetic consequences
- Linkage disequilibrium
- Genetic variance, estimating variance components, heritability
- Genetic correlations
- Association genetics, genomic selection
- Induced diversity TILLinG, natural diversity ecoTILLinG
- Linking genetics, genomics and bioinformatics : from fine-mapping
to gene cloning; genotyping by sequencing.

Course type

> Lectures, seminars, project containing data study 52 hours in-class: - Seminars, flipped classroom (24 hours), - Data and in silico study, work on dataset (22 hours), - Professional seminars (6 hours). > Personal work including distance-based, personal project preparation (128 hours).

Online Course Requirement

Instructor

Other information

Duration: 12 weeks (Fall Semester)

Language of instruction: English
Mode of delivery: Face-to-face teaching: in-class, seminars, flipped classroom

Site for Inquiry