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New joint centre for genome data in Aarhus

Aarhus University and the Central Denmark Region will create a new joint genome data centre in Aarhus. The new data centre will establish a strong foundation for research within genetic causes of common diseases and how to prevent them.

Aarhus University and the Central Denmark Region are already working in close corporation within research-based treatment to be used in the healthcare sector. However, the collaboration will, among other things, ensure faster implementation of research results in clinical practice to the benefit of the patients. In addition, the new genome data centre will enable a more optimal utilisation of the two organisations analytical capacity.

Rasmus Beedholm-Ebsen, Ph.D., CBA, and Special Advisor at Invest in Denmark, welcomes the new genome data centre:

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Precision medicine has become widely integrated in the Danish healthcare sector, such as in cancer treatment. This also means that new technologies have to be put into play in order to handle all new personal data now available. In Denmark, there is a strong collaboration between scientists in academia and clinicians at the hospitals, and it is therefore a great next step to establish a joint genome data centre.

Rasmus Beedholm-Edsen, Ph.D, CBA and Special Advisor Invest in Denmark
“Denmark has always been at the forefront within development of new products and methods, since the Danish biotechnological research industry can be dated almost two centuries back. This is why Danish researchers on a regular basis can introduce new technologies and medicines to the global market,” he continues.

A hub for bioinformatics research

Aarhus University has for years been the main hub for bioinformatics research in Denmark, as they have established a very strong computer platform for processing the data involved in human genome research.

The new genome data centre is located at one of Aarhus University’s interdisciplinary centres, Centre for Integrative Sequencing (iSEQ).

The overall aim of iSEQ is to integrate multi-layered biological sequencing data with comprehensive phenotypic and environmental data to gain new and more coherent insights into the complex molecular systems governing biological function and human disease.

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