Computational Omics and Systems Biology Lab

Research interests

  • Design of high-performing, novel algorithms for a large-scale omics data analysis, with a specific emphasis on mass spectrometry based proteomics and metabolomics
  • Development of user-friendly, production grade tools based on these algorithms to allow users to perfom their own cutting-edge data analysis
  • Extensive experience with machine learning, statistic methods and data management
  • Education of the broad public with online videos, (online) tutorials, international workshops and summer schools 

More information about the Computational Omics and Systems Biology (CompOmics) Lab

More information about Prof. Lennart Martens

More information about Prof. Sven Degroeve