Forschung

Multidimensional omics-data analysis

The Multidimensional omics-data analysis group is a cooperation with the “Leibniz-Institut für Analytische Wissenschaft (ISAS)”. The development of novel omics methods over the last 10-20 years now allows the pathogenesis of most diseases to be analyzed and characterized in detail. However, these methods require complex and fast bioinformatics workflows to identify and interpret the raw data's corresponding genes, proteins, and metabolites. Subsequently, multi-omics data sets can be used to derive prognostic and predictive markers and possibly new therapy targets using biostatistical methods and machine learning algorithms. The challenge here is to link the individual omics data with each other, with clinical data (diagnoses, analyses, therapy), with the information from clinical databases and previously known publications, and finally to visualize the results. Furthermore, omics datasets enable the development of mathematic models describing the disease. These models could indeed be used to test therapeutic approaches or could be transferred back to the clinic to support diagnosis and clinical decisions.

In case of interest for a master thesis feel free to contact: Robert.heyer@isas.de