A wide range of applications and case-studies

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  • Biological clocks to monitor biological aging, associated disease, and the impact of intervention​
  • A high-resolution overview of expression, translatome and proteome diversity and its impact in health and disease​
  • The eQTL based identification of genetic variation explaining phenotypic differences​
  • The identification of causally dysregulated genes and biomarkers in disease (cancer, cardiovascular, …)​
  • Mapping transcriptional networks to identify key genes driving early mammalian development

Expertise in the analysis of a wide range of omics data

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  • Arrays, second and third generation sequencing for (epi)genomics, transcriptomics and ribosome profiling​
  • Proteomics by mass spectrometry and arrays​
  • Single-cell transcriptomics and multi-omics​

Innovative data-analytical methods

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  • Allele-specific expression models for eQTL screening, genomic imprinting, early dysregulation in disease​
  • Machine-learning based characterization of the full complexity of RNA expression and protein translation​
  • Epigenetic and proteomics clocks of biological aging​