Translational Bioinformatics
Identification of metabolic characteristics in clinical samples and model systems, related to clinical therapy response by integration of multi-level (high-dimensional) data.
Identification of metabolic characteristics in clinical samples and model systems, related to clinical therapy response by integration of multi-level (high-dimensional) data.
About our Research
Identification of metabolic characteristics in clinical samples and model systems, related to clinical therapy response by integration of multi-level (high-dimensional) data.
The Metabolic Therapy Response group describes metabolic processes and their relationship with clinical therapy outcome with the overarching aim to improve tumor therapy by the modulation of tumor metabolic properties.
· We relate multi-level high-dimensional (omics-) data, clinical data, and specific molecular-biological endpoints via bioinformatic/computational approaches.
· We characterize and stratify clinical tumor cohorts based on metabolic characteristics inferred from transcriptional and metabolite-level data.
· We identify key-processes of tumor-metabolism and targets for their modulation
· We aim to modulate specific metabolic processes in model systems and evaluate the effect on therapy outcome
· We collaborate with multiple University hospitals and research institutes, highly valuing and promoting the interdisciplinary efforts required in today´s and future translational oncological research
Head of Translational Bioinformatics
Technician
Scientist
PhD Student
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