Working with us

If you would like to apply our computational biosemantics methods to aid in interpreting your data then these are some options.

  1. Collaboration
    The BioSemantics group thrives on multidisciplinary collaborations: a biosemantics researcher works closely with biomedical researchers on the one hand and method experts on the other to apply and tweak biosemantics methods for the case at hand. This is our preferred model. A prerequisite (unfortunately) is funding. Examples are the elucidation of epigenetic factors in Huntington’s disease and unravelling the mechanisms of Poly-cystic Kidney disease.
  2. Industry-grade service
    If you require industry-grade service, then we liaise with a small company called ‘Euretos’. Their techniques are based on our published methods. They provide for instance a professional knowledge exploration tool ‘BRAIN’ and can generate professional information reports, such as reports on drug targets and assays.
  3. Do it yourself
    Look on and for our workflows and Web Services, and try these out, for instance in the workflow tool Taverna. Or try out the tool Anni on We do not actively develop Anni anymore, but for most people – including ourselves – it is still a valuable tool. The latest data update was done in 2010.

NB If you are not in the biomedical field, then we may still be able to help. Our focus is on biomedical data, but our methods can sometimes be reused outside of that domain.

BioSemantics ‘Hotel’

In the context of our collaboration with the Dutch Techcentre for Life Sciences, we endorse the concept of technology ‘hotels’ to share technological expertise.  As a guest of our hotel you either pay for our services, or you apply for a ZonMW enabling technologies grant and pay for our services through that. We offer our expertise on data interpretation, (semantic) data integration, semantic systems biology, and international standards to maked data more accessible and reproducible for research.

Overall workflow

The main interest of the biosemantics group is in computational support for interpreting data and turn data into actionable results.


Data Interpretation