CUrriculum

Monday. 2-8  pm Berlin time


·       Introduction to Unix, R and RStudio
·       Introduction to NGS data (e.g. RADseq, whole genomes) and genetic variants (VCF files)
·       Filtering VCFs to obtain SNPs for demographic inference

 

 


Tuesday. 2-8  pm Berlin time


·       Introduction to population genomics and coalescent theory
·       Site frequency spectrum (SFS): distinguishing folded and unfolded SFS
·       Obtaining the SFS from VCF files:  dealing with missing data and low depth of coverage

 


Wednesday. 2-8  pm Berlin time


·       Defining models and simulating data with fastsimcoal2 and ms
·       Inferring changes in effective population size with Stairwayplot

 


Thursday. 2-8  pm Berlin time


·       Demographic history inference with fastsimcoal2: estimate parameters

 

 


Friday. 2-8  pm Berlin time


·       Comparison of demographic models: model choice using fastimcoal2
·       Discussion of advantages and limitations of different approaches