Summer school on Software and Statistical Methods for Population Genomics
19-23 Sep 2022 Aussois (France)
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Planning
Week
Mon. 19
Tue. 20
Wed. 21
Thu. 22
Fri. 23
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Wednesday, September 21, 2022
›
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
›7:00 (1h30)
Breakfast
7:00 - 8:30 (1h30)
Breakfast
›8:45 (15min)
Warm-up session
8:45 - 9:00 (15min)
Warm-up session
Introduction of Wednesday's program
›9:00 (1h)
Considerations for applying genomic offsets: from experimental design to interpretation
Katie Lotterhos
9:00 - 10:00 (1h)
Considerations for applying genomic offsets: from experimental design to interpretation
Katie Lotterhos
›10:00 (30min)
Coffee break
10:00 - 10:30 (30min)
Coffee break
›10:30 (45min)
Using Gradient Forest and Generalized Dissimilarity Modeling to analyze and map current and future patterns of adaptive genomic variation
Matthew Fitzpatrick
10:30 - 11:15 (45min)
Using Gradient Forest and Generalized Dissimilarity Modeling to analyze and map current and future patterns of adaptive genomic variation
Matthew Fitzpatrick
›11:15 (45min)
Bayesian hierarchical model for GEA and prediction of population-specific covariates with illustration in invasive species
Mathieu Gautier
11:15 - 12:00 (45min)
Bayesian hierarchical model for GEA and prediction of population-specific covariates with illustration in invasive species
Mathieu Gautier
›12:00 (1h30)
Lunch
12:00 - 13:30 (1h30)
Lunch
›13:30 (3h)
Workshop - Data challenge
13:30 - 16:30 (3h)
Workshop - Data challenge
›16:30 (1h)
Break
16:30 - 17:30 (1h)
Break
›17:30 (1h)
Towards improving the explanatory power in landscape genomics
Benjamin Dauphin
17:30 - 18:30 (1h)
Towards improving the explanatory power in landscape genomics
Benjamin Dauphin
›19:00 (1h30)
Dinner
19:00 - 20:30 (1h30)
Dinner
›20:30 (1h30)
Poster session
20:30 - 22:00 (1h30)
Poster session
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