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