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Thomas Schlitt


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Research interests

The main aim of our research is to understand gene networks using computational methods. We use large-scale datasets that can be represented as graphs (networks), such as protein-protein interaction data, transcription factor localisation data and microarray data. The number of organisms for which such large-scale datasets are available is increasing rapidly. Combining these data sets helps to get a picture of the 'real' network in the cell. We use these datasets to explore the function of individual genes and their interaction partners as well as attempt to identify genes involved in disease processes.

Research interests (short)

Understanding gene networks using computational methods

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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