People Peter Bram t Hoen Computational approaches to advance personalized medicine

Computational approaches to understand disease mechanisms and to advance patient diagnosis

Peter Bram 't Hoen's research group develops computational approaches that exploit molecular –omics data in combination with clinical data to better understand disease mechanisms and to advance patient diagnosis and stratification for therapeutic and life style interventions.

read more

Computational approaches to understand disease mechanisms and to advance patient diagnosis

We develop computational pipelines for the (integrated) analysis of genomics, transcriptomics, proteomics, metabolomics and microbiome data. We adopt statistical and knowledge-driven data integration approaches to discover sets of diagnostic and prognostic biomarkers. Our focus on interoperability of data and services facilitates the interpretation of in-house data (such as those from patient samples) in the context of external data sources. In more fundamental research projects, we aim for a better understanding of the impact of DNA variants on RNA and protein sequences, protein structure and clinical phenotypes. We strongly believe that enabling bleeding-edge and high-quality research requires us to work in a multidisciplinary environment and in close collaboration with researchers from other themes and departments. We therefore have a strong network in the Radboudumc with more clinically-oriented partners to ensure that we keep working on topics directly relevant for the local clinicians and their patient. Also outside the Radboudumc we keep close ties with other medical centers such as Leiden and Wageningen, and embrace connections with industry partners. We are active contributers to national infrastructures such as HealthRI, ELIXIR-NL, BBMRI-NL and DTL, to keep up with the most recent developments in the field and to make sure that what we do also finds interest outside of the hospital.

Research group leader

Peter-Bram 't Hoen PhD

+31 (0)24 361 97 63

Aims

Our main objective is to translate biomedical problems into computational solutions and to facilitate the use of molecular (-omics) data in the clinic.

Discoveries

  • Coordinating mechanisms between transcription, mRNA processing and translation
  • Predictive biomarkers for disease progression and response to therapy in muscular dystrophies
read more

Discoveries

Radboud Institute for Molecular Life Sciences

Our main aim is to achieve a greater understanding of the molecular mechanisms of disease. By integrating fundamental and clinical research, we obtain multifaceted knowledge of (patho)physiological processes. read more

Team

Related research themes

Related technology centers

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

Radboudumc Technology Center Biostatistics

Through the Radboudumc Technology Center for Biostatistics researchers have access to collaboration with a specialist statisticians who are able to keep up with fast-moving developments in the relevant area.

read more

Radboudumc Technology Center Data stewardship

The Radboudumc Technology Center Data Stewardship provides knowledge, services and solutions to fulfill your research ICT needs in a way that suits each individual study.

read more

Radboudumc Technology Center Genomics

The Genomics Technology Center offers state-of-the-art expertise in the forefront of sequencing technology developments.

read more

Radboudumc Technology Center Mass spectrometry

The Technology Center for Mass Spectrometry offers high-level expertise in bioanalytical mass spectrometry combined with in-depth knowledge on biomedical and clinical applications, embedded in a cutting-edge clinical and fundamental research environment.

read more