Bioinformatics

Why Bioinformatics?

Bioinformatics research is concerned with the information processes in living systems and with producing methods to analyse and integrate biological (genome) data. This gives bioinformatics a pivotal position among research fields such as:

• pharmaceutics
• biotechnology
• gene technology
• forensic science and chemistry
• clinical research and industrial applications

Systems Biology
Master courses from Systems Biology can be followed as a specialization of Bioinformatics. The focus in Systems Biology is on the integration of knowledge from several domains of biology, often using data- and system modeling approaches. Both experimental and theoretical aspects are treated.

• Systems Biology

Your profile, your background

Bioinformatics is a highly multidisciplinary field encompassing a broad range of in-depth knowledge. Bioinformatics practitioners must have a well-developed concept of the art of doing science, a high ability for (mathematical) abstraction, a broadly developed knowledge, an ability to quickly absorb and integrate novel concepts and well-developed engineering and practical skills in the area of computer science. Bioinformatics graduates are very much in demand, both in the academic world and industry. If you have a wide interest in biosciences and the ability to solve problems and reason methodically, combined with an enthusiasm for incorporating computer technology in your research, then the Master's programme in Bioinformatics is definitely for you.

Current research topics

Do you want to help reveal the complexity of life?
Vast amounts of data have been collected through genomics initiatives. This is a golden opportunity to research the secrets of life, understand more of life’s complexities, improve quality of life and conquer major diseases. Converting this huge amount of data into real understanding is the basic challenge of bioinformatics research.

The integration of knowledge and data
Microarray technology and mass-spectrometry are high-throughput techniques. They result in a vast number of different large-scale data sets. New bioinformatics tools and models can help integrate these databases. This is the only way to arrive at a complete picture of cellular processes and their networked organization.

Further information

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