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Holstege GroupGenome Wide Gene Expression
The Holstege group studies gene expression genome-wide, in health and in disease. The research ranges from molecular analysis of regulatory mechanisms to the discovery of clinically relevant gene expression patterns.
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The Group
Holstege Group
Genome Wide Gene Expression
Address / Contact
Upssalalaan 8
3584 CT
Utrecht
Hubrecht Building
Research

The Holstege group studies gene expression genome-wide, in health and in disease. The research ranges from molecular analysis of regulatory mechanisms to the discovery of clinically relevant gene expression patterns. Several members of the group are bioinformaticians and there is a strong collaboration with the Kemmeren group. The group is multidisciplinary and has biochemistry, molecular biology, genetics, bioinformatics, high-throughput biology and genomics expertise, as well as extensive experience with setting up and running infrastructure for large-scale genome-wide analyses including robotic automation and IT aspects.

The most important asset of our lab is the people involved. Members have their own projects and responsibilities. We believe that, by working together, we can achieve both our personal goals and the institute's long-term goal. Individual excellence combined with teamwork are key. Whether you are a prospective Ph.D. student, post-doc, bioinformatician or a Masters student looking for an exciting internship, we invite you to join us. If you are intelligent, ambitious and like to work hard at something that is worthwhile, enjoy a challenge and are interested in performing meaningful science at the highest international level, our lab is an excellent place to test and develop your skills. We offer an environment that is internationally oriented, and where it is fun to work and learn together. We take our work seriously and aim to publish in the best scientific journals because we believe that is where our work belongs. For information regarding internships, send us an e-mail. We also welcome letters of interest and CVs from any prospective Ph.D. student, post-doc, scientific programmer or bioinformatician. Useful past experience is in protein biochemistry, molecular biology, molecular genetics, cell biology, next-generation sequencing approaches and bioinformatics. Previous experience in these subjects is not essential for a successful application. Previous excellence and ambition is.