Princess Máxima Center Big Data Core Facility

The Big Data Core (BDC) advances biomedical research by developing genomic pipelines, cloud solutions and data management policies for bulk sequencing data in pediatric oncology. Central to making data accessible to researchers is the NL-4C resource. This is a cloud-based data resource and portal developed by the BDC that enables the visualization and exploration of virtual datasets to understand the clinical characteristics and mutational landscape of pediatric cancers within the Dutch population.

The BDC provides support and services in the following areas:

Genomics data analyses: development and maintenance of bioinformatics pipelines for bulk sequencing (WGS, WES, RNA-seq) in tumor and organoid samples, processing of nanopore sequencing samples, and development of custom data analyses for research.

Cloud engineering: development and deployment of end-to-end cloud solutions for bulk sequencing data—integrating a cloud-native data warehouse, portals (e.g. NL-4C), and secure APIs with a centralized governance to accelerate the delivery of genomic insights to researchers, clinicians and benefit patient care.

Dutch Comprehensive Childhood Cancer Commons: or NL-4C is a cloud-based portal developed by the BDC that enables data visualization, exploration and building of virtual datasets of harmonized genomic and clinical data of the children with cancer treated at the Princess Máxima Center.

Data stewardship: coordinating and promoting appropriate data management and stewardship practices for preclinical data, including implementation of the FAIR (Findability, Accessibility, Interoperability and Reusability) data principles, to ensure optimal data (re)use.

Let’s connect!

Facility managerPatrick Kemmerenbigdatacore@prinsesmaximacentrum.nl
Affiliate/Organisation:Visiting address:Heidelberglaan 253584 CS Utrecht

Facility features:
  • Cloud-based solutions for genomics and clinical data
  • Data visualization and exploration of virtual datasets of the Dutch pediatric oncology population
  • Bioinformatics pipelines for WGS, WES, RNA-seq and nanopore sequencing
  • Custom bioinformatic analyses for research
  • Implementation of data management and stewardship practices for preclinical data