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Prof. Dr. Zoran Nikoloski, Univer­sität Potsdam

Bundesland: Brandenburg

Stadt: Potsdam

Our research aims to identify the most important cellular components (“markers”) charac­te­rizing biolo­gical processes such as which gene products respond most signi­fi­cantly to external stimuli. We use a variety of super­vised and unsuper­vised machine learning as well graph theory-based methods to analyze and interpret complex and hetero­ge­neous data from high-throughput experi­ments. In addition, the group develops internet-based database tools that allow for the efficient storage, download and management of biolo­gical measu­rement data. Classical bioin­for­matics questions such as the analysis, compa­rison and prediction of biolo­gical macro­mole­cules both on the sequence as well as on the struc­tural level are also addressed.


Inter­net­präsenz: https://www.uni-potsdam.de/en/ibb-bioinformatik/index


Kontakt: zoran.nikoloski@uni-potsdam.de