Brunak Group (Translational Disease Systems Biology Group)
Group Leader: Prof. Søren Brunak, Research Director
In the Brunak group we combine molecular level systems biology data with the analysis of phenotypic data from the healthcare sector. In the context of gene and protein network biology we take advantage of clinical data such as electronic patient records, registry information and biobank questionnaires.
We aim at discriminating between treatment related disease correlations and other comorbidities and stratify patients not only from their genotype, but also phenotypically based on the clinical descriptions in their medical records.
The group has specific interest in genes and proteins which play a role in several diseases, genes that may rationalize clinically observed patterns of multi-morbidity, or be of interest in relation to treatment strategies in the domain of chronic pathology.
We have a strong focus on human genome and proteome variation and personalized medicine, in particular the ranking of treatment options and the reduction of patient-specific adverse drug reactions. Data integration and machine learning methods development in the big biomedical data domain is a major theme, as is the design of supercomputing infrastructure and private cloud solutions needed for person-sensitive data integrity.
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