Computational Biology of Infection Research

The research of the group focuses on the data-driven analysis of biological questions from infection research, as well as method development to solve prediction problems for large biological data sets.

Leader

Our Research

The Department of “Computational Biology for Infection Research” studies the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients by analysis of large-scale biological and epidemiological data sets with computational techniques. Focusing on high throughput meta’omics, population genomic and single cell sequencing data, we produce testable hypotheses, such as sets of key sites or relevant genes implicated in onset of a disease, antibiotic resistance or immune defense. We interact with experimental collaborators to verify our findings and to promote their translation into medical treatment or diagnosis procedures. To achieve its research goals, the department also develops novel algorithms and software.

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