Comparative genomics the wealth of ‘omics dataThe comparative genomics group exploits the wealth of ‘omics data to predict the function of proteins and their involvement in protein complexes and pathways. On the one hand we develop methods to analyse new types of ‘omics data in an integrative manner. On the other hand we collaborate with groups in the Radboudumc and in the scientific community as a whole to analyze their data and arrive at specific predictions about the function of proteins. In this we specifically focus on mitochondria, for which we have successfully predicted the functions of many medically relevant proteins. Furthermore we collaborate with groups working on Malaria and with the group working on Children infectious’ diseases to develop better vaccines. In our analyses we often include an evolutionary angle allowing us to exploit the large numbers of available genomes and the information that evolutionary conservation contains about protein function and protein interactions.
Aims of this research group
Integrative analysis of ‘omics data for high resolution and reliable protein function prediction.
Omics data analysis for vaccine development.
Unraveling the molecular causes of disease.
Understanding what drives mitochondrial protein evolution.
Making students understand the potential of molecular data, the algorithms to process them and the questions that can be asked of the data using the algorithms.
Discoveries of this research group
This research group discovered numerous mitochondrial and ciliary disease genes.
This research group found out that genome sequences can be used to predict protein interactions.
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