Research Departments Center for Molecular and Biomolecular Informatics

Center for Molecular and Biomolecular Informatics

The Center for Molecular and Biomolecular Informatics (CMBI) does research and education, and provides services in bioinformatics and cheminformatics.

Staff & scientists at the CMBI

Contact Head of the CMBI

Peter-Bram 't Hoen
head of department

+31 (0)24 361 93 90

Mission & vision

Our mission

Our mission is to add value to personal health data by their translation into integrative knowledge and actionable information.

Our vision 

  • CMBI develops bioinformatics approaches that contribute to the understanding of disease mechanisms, personalized therapies and interventions, and a learning health care system
  • CMBI is committed to the reusability of their data, tools, and services
  • CMBI provides  bioinformatics researchers in Radboudumc with a platform for exchange of knowledge and expertise
  • CMBI contributes to the education of BMW, MLW, and MMD students so that they can apply and understand the principles behind (existing) bioinformatics tools

Radboudumc Technology Center Bioinformatics

The Bioinformatics technology center aims to raise and solve biological questions using the most recent computer technologies and big data solutions.

read more


Our mission is to provide a basic understanding in Bioinformatic principles. Follow-up courses are available for those who want to gain greater insight in our field.

read more


Researchers at the CMBI contribute to several courses at both the Faculty of Science and the Medical Faculty. We provide courses in Structural Bioinformatics, Comparative Genomics, Data Analysis, and programming courses such as Java. We specifically focus on the Molecular Life Science students, Biomedical Sciences students and participants in the master Molecular Mechanisms of Disease, although some of our courses can be chosen by Biology, Chemistry or Medical students as well. 

Our mission is to provide a basic understanding in Bioinformatic principles for bachelor students as this was shown to be beneficial for those who want to pursue a career in Life Sciences. Follow-up courses are available for those who want to gain greater insight in our field. 

For MLS/Biology students it is even possible to follow the B-track by choosing a combination of (master) Bioinformatics courses and internships at Bioinformatics departments. 

Our researchers also teach in special interest courses and summer schools here at the Radboudumc, the Radboud University and elsewhere.


For more information, you can contact dr. Hanka Venselaar, education coordinator at the CMBI.




The CMBI offers a wide range of possibilities for internships.

read more


Both bachelor and master students from studies such as Molecular Life Sciences, Biomedical Sciences, Chemistry and MMD are welcome. In general, we are flexible in terms of internship length, type of internship and type of research. 

Below you can find our internship projects:

  • Supervisors:

    Peter-Bram ‘t Hoen and colleagues


    The international rare disease research consortium (IRDiRC) set an ambitious goal for 2027: the development of 1000 novel therapies for patients with rare diseases, the majority of which for diseases without any current treatment options. Drug repurposing, the reuse of approved drugs for new indications, is a  key element in this strategy, because the clinical development trajectory is usually much shorter and the expenses for their development are lower. In this project, you will work on novel strategies to prioritize candidate drugs based on molecular -omics (RNA-seq, proteomics, metabolomics) data and knowledge on the similarity of symptoms. You will focus on diseases for which we have collected a lot of data, e.g. myotonic dystrophy and Koolen-de Vries syndrome. You will develop innovative approaches, for example using network inference methods and deep learning.


    -You will create multimodal knowledge networks that combine information on disease symptoms, and molecular signatures of diseases and drugs and existing indications for these drugs.

    -You will utilize these knowledge networks for semisupervised learning and predicting drug repurposing candidates. You will explore the use deep learning frameworks like graph convolutional networks.


    -Studying for a Master degree in Bioinformatics, Computer Sciences, Artificial Intelligence, Molecular Life Sciences or similar

    -Student should be available for at least 5 months

    -Basic R or python programming experience


    -An internship in a environment with a strong focus on computational method development and many collaborations with biomedical and clinical scientists

    -Experience of being embedded in a research group with related activities such as journal clubs and social events

    -Weekly and ad-hoc meetings with supervisors

    -Ample opportunities to present your work in internal and external meetings

    Related literature:

    1. Zitnik et al. Bioinfomatics (2018)
    2. Wang et al. Briefings in Bioinformatics (2021)  

Bioinformatics Services

We maintain computational facilities, databases, and software packages in bioinformatics.

read more


Our researchers CMBI

A list of researchers connected to this department.

read more

Research groups CMBI

Discover some of our research that is related to molecular and biomolecular informatics.

read more

Getting there

Entrance: Radboud Institute for Molecular Life Sciences
Route: 260

get directions

Getting there

Visiting address

Radboud Institute for Molecular Life Sciences
Geert Grooteplein 28
6525 GA Nijmegen


Enter building at: Radboud Institute for Molecular Life Sciences
Follow route 260

Contact Business manager

Nicolai Giling
Business manager

+31 (0)24 3686538

Contact Operational manager

Barbara van Kampen
Operational manager

+31 (0)24 361 93 90

Contact Management assistent

Sandra de Leeuw
Management assistent


Research themes

Affiliated institutes

Radboud Institute for Health Sciences

This department is affiliated with RIHS. The research at this institute aims to improve clinical practice and public health. institute pages

Radboud Institute for Molecular Life Sciences

This department is affiliated with RIMLS. Their main aim is to achieve a greater understanding of the molecular mechanisms of disease. institute pages