CUrriculum

Monday:2-8 pm Berlin time - Metabolomics: what, why, how

 

 

 

-          What is metabolomics (targeted and untargeted)

 

 

 

-          Study design considerations

 

 

 

-          Analytical chemistry in metabolomics

 

 

 

-          Integrating Data Analysis and Data Collection

 

 

 

-          Data sharing and reproducibility

 

 

 

-          Group activity: design your study

 

 

 

 

 

 

Tuesday: 2-8 pm Berlin time - From zero to R


-         R and RStudio


-         Visualizing your data


-         Data carpentry (practical)


-         Multivariate visualization by PCA

 

 

 

 

Wednesday 2-8 pm Berlin time - Untargeted Metabolomics

 

 

-        Preprocessing of MS based untargeted metabolomics data


-        The pre-processing workflow


-        Let’s do it in R with xcms


-        Are my data OK?


-        Quality assessment


-        Missing values and imputation


-        From Features to compounds … annotation

 

 

 

 

 

Thursday 2-8 pm Berlin time - Analyzing a metabolomics data matrix

 

 

-        Univariate Approach: Introduction to statistical testing and modeling


-        Multiple testing


-        Multivariate approaches:  PCA, PLS, Random Forest