Quantitative and Population Genetics and Evolution University of Bordeaux
> Students learn how to: - Calculate and explain genetic diversity estimates, allelesfrequency - Integrate theoretical and practical knowledge in detecting lociinvolved in quantitative traits - Integrate advanced statistics, bioinformatics, high through-putphenotyping and genome dataA project is conducted on a dataset integrating population diversityanalysis and population structure, linkage disequilibrium estimationand association genetics to detect loci involved quantitative traitsin crops. A focus is carried out on dataset work. This work is co-coordinatedwith statistics and R teaching.
- Students must have completed a Master/Year 1 in Biological science. - Knowledge of basics statistics and R, basics genetics and genomics.
> Assessment is carried via: - Summative assessment. - Essay and group presentation of personal project. - Quality of the proposal, report and presentation. - Data study and presentation.
- 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-mappingto gene cloning; genotyping by sequencing.
> 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
Duration: 12 weeks (Fall Semester)Language of instruction: EnglishMode of delivery: Face-to-face teaching: in-class, seminars, flipped classroom
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: Valérie Schurdi-Levraudvalerie.firstname.lastname@example.orgPierre-François Bertpierre-françois.bert@ u-bordeaux.frFlorence Lartigautflorence.email@example.com