Monday –  9 am-5 pm CET

 

Session 1-Introduction

 

-          Overview of the course program

-          Introduction on Landscape Genomics

 

 

Session 2 - Dataset

 

-          The environmental data

-          The genetic data

 

 

Tuesday –  9 am-5 pm CET

 

Session 3-Environmental Data 1

 

-          GIS basic

-          Main environmental databases

-          Derived environmental variables

 

Session 4- Environmental Data 2

 

-          Environmental characterization of the samples

-          Point versus surface

-          Analysis of environmental diversity of samples

 

 

Wednesday – 9 am-5 pm CET

 

Session 5- Genetic Data 1

 

-          Sequencing strategies

-          Data filtering

 

Session 6- Genetic Data 2

 

-          Spatial genetic variation

-          Population structure

 

 

Thursday – 9 am-5 pm CET

 

Session 7-Statistical Analysis

 

-          Overview of statistical methods (univariate, multivariate, w/wo population structure)

-          samβada: logistic regression

 

Session 8-Interpreting Results

 

 -          Spatial autocorrleation

       -          Process samβada output in R

-          Validation of results

 

 

Friday – 9 am-5 pm CET

 

Session 9- Planning a Landscape Genomics Experiment

 

    -          Scale and Resolution

-          Sampling Design

 

Session 10-Conclusion

 

-          Take home messages

-          Question time