Bioinformatics is a cross border discipline that brings together expertise from a variety of groups, technology centers and research fields. The research groups and technology centers that we work with most frequently are listed below:

Human Genetics: This research group detects and analyzes human de novo mutations in order to understand their effect on health and disease. The group focuses on three central themes:

  • Developing novel bioinformatics methods for the improved interpretation of genome variation.
  • The implementation and application of bioinformatics analysis pipelines to identify novel genetic causes of disease.
  • The translation of novel technologies and bioinformatics methods from research for the improved genetic diagnosis of patients.

Centre for Molecular and Biomolecular Informatics: The CMBI consists of several groups of computational scientists, focusing on a wide range of bioinformatics fields. The group has a strong history in 3D-protein structure analysis, homology modelling and mutational analysis in order to understand the molecular basis of disease. Comparative analyses of genomes are used to predict interactions between proteins, protein functions, and protein pathways. They also examine predictive patterns in the evolution of proteins. The group is specifically interested in biological systems such as the mitochondrion and the cilium. Furthermore, microbiomomic tools and bioinformatics approaches are developed and applied to solve biological questions aimed at a better understanding of the link between pathogens and health and disease.

Translational Metabolic Laboratory: This group is specialized in mass spectrometry based OMIC technologies. Metabolomics, glycomics and proteomics approaches are applied mainly, but not limited to, genetic metabolic diseases for research and patient diagnostics. Large amounts of generated data are studied using bioinformatics and statistical analysis in order to interpret these data  and to link the results to a biological context.

Medical Microbiology: This group uses bioinformatics to process Whole Genome Sequencing data of “infectious” pathogens in order to improve health care. They also perform comparative genomics on WGS data of multiple straing to be to detect transmission events. Furthermore, they also perform RNA-sex on Fungal pathogens/strains.

Internal Medicine
Radiology and Nuclear Medicine
Department for Health Evidence
Cognitive Neuroscience

We also work in close collaboration with other Radboud Technology Centers such as:
Data Stewardship
Proteomics & Mass spectrometry
Microscopic Imaging Centre

More about other RTC’s can be found on the main Radboudumc website.