The bioinformatics team is dedicated to the ever-growing challenges in the analysis and interpretation of high-dimensional and complex biomedical data.
The central task of the department is the analysis and integration of diverse data layers, with a focus on molecular 'omics' data of the human genome, transcriptome and proteome generated in our cohort studies. To this end, we use the latest methods from the fields of bioinformatics, machine learning and systems medicine.
Our analyses provide new insights into the development of diseases and enable a better understanding of the underlying mechanisms. Furthermore, the applied machine learning methods allow us to improve individual risk prediction for disease development.