Today, toxicologists are collecting increasingly large volumes of data – above all what are known as omics data, i.e., information about genes, proteins and metabolic products. These data can help us to better understand the impact of chemical substances on the human body. “To date, however, their potential has not been sufficiently leveraged, as the appropriate statistical tools for the reliable analysis of such data, which are highly complex, are often lacking,” says RTG spokesperson Professor Jörg Rahnenführer. “This is the starting point for our research: We in the Research Training Group are developing and applying new methods that make it possible to analyze such datasets more effectively.”
Particularly challenging in this context is the handling of high-dimensional data, where many individual pieces of information have to be factored in at the same time. One example is gene expression data, where the activity of thousands of genes or cells is measured simultaneously. This also includes SNP data, which shed light on genetic variations at millions of positions in the genome. Such data deliver valuable indicators of possible health risks from chemical substances – provided they can be interpreted correctly. Within the group’s individual projects, the doctoral students are working, for example, on ways to calculate more accurately the minimum effective dose of a medical compound or to identify population groups that react particularly sensitively to air pollutants.
Practical experience and science communication
Over the course of their doctoral degrees, the early career researchers in the RTG have the opportunity to gather practical experience in the laboratories of the participating Leibniz institutes or with external industrial partners. As part of the qualification program, they can also further develop their specialist skills in the areas of statistical learning and artificial intelligence as well as gain initial experience in science communication. In a workshop organized in collaboration with the Institute of Journalism at TU Dortmund University, they learn how to communicate their research results to the public in an understandable way.
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