Bioinformatics

About

We develop computational workflows for the integration of omics and clinical data to predict disease progression and identify drug repurposing candidates in myotonic dystrophy and other neuromuscular disorders.

Research group leader

prof. dr. Peter-Bram 't Hoen

contact form

Aims

See our most important goals.

Listen

Aims

We aim to develop personalized prediction models for disease progression and use these models as baseline in clinical trials
We aim to develop multi-omics data integration approaches to discover biomarker signatures and disease mechanisms.
We aim to develop computational pipelines for discovery of drug repurposing candidates.
We aim to develop FAIR data infrastructure for integration of molecular and clinical from heterogeneous and distributed resources.

Publications

See some of our most important scientific articles.

Listen

Publications

See the publication list of the research group leader on Web of Science.

Internationally we are also known as

Computational approaches to advance personalized medicine

Profile page

See the group leader's profile.

see page

Research programs

Programs that are connected to this research group.