Projects

Digital Biobank for genetic data of AmsterdamUMC

Salmon farmed on modern feeds contains less of the healthy, long-chain fatty acids (EPA and DHA) than before. Up until the turn of the millennium, farmed salmon were fed fish oil as a replacement for their omega-3 rich natural prey. However, fish oil is now a scarce resource, and more than half of the fat in modern feeds comes from plant oils that are inexpensive, but devoid of long-chain omega-3 fatty acids. How can we increase the omega-3 content of salmon on sustainable feeds?

One option is ...

The T2-FLAIR mismatch sign is defined by signal loss of the T2-weighted hyperintense area with Fluid-Attenuated Inversion Recovery (FLAIR) on magnetic resonance imaging, causing a hypointense region on FLAIR. It is a highly specific diagnostic marker for IDH-mutant astrocytoma and is postulated to be caused by intercellular microcystic change in the tumor tissue. However, not all IDH-mutant astrocytomas show this mismatch sign and some show the phenomenon in only part of the lesion. The aim of ...

Up-regulation of glycolytic flux (glucose to lactate conversion), also known as the “Warburg effect”, has been associated with 90% of cancers. We implemented a systems biology approach in order to improve the overall understanding of the “Warburg effect” as well as identifying drug targets within the glycolytic pathway.

Investigation of the regulation and function of the glycogen metabolism within different bacteria with special focus on the phosphoglucomutase enzyme

The GMDS project group bundles activities for health-related FAIR data infrastructures in the fields of biomedical research, clinical data management and medical informatics in Germany. It aims at providing a platform for information exchange about best practice for and implementation of FAIR data management in these fields and constructing a network of FAIR data managements providers in these fields. Through bridging between providers and potential users of such data management platforms within ...

testing fairdomhub

Mission: We perform cutting-edge research on data generated by novel biomolecular technologies to address questions in pneumology. Towards this, we use biological high-throughput data, i.e., OMICs data, to gain insights into molecular and phenotypic traits and diseases using computational methods. We combine data, methodology and their applications in pneumology through interdisciplinary collaboration with mathematicians, computer scientists, biologists and physicians.