Carlo Vermeulen

This study uses cfDNA sequencing in newborn foals to detect sepsis-causing bacteria and identifies host-related biomarkers associated with sepsis.

The paper develops a method to directly detect 8-oxo-dG using nanopore sequencing by creating synthetic DNA with context variability and training deep learning models.

This paper develops a validated protocol for using Oxford Nanopore methylation sequencing on FFPE samples to classify brain tumors, enabling point-of-care diagnosis.

This paper develops a deep learning model for intraoperative pediatric CNS tumor classification using rapid sequencing, achieving accurate results within 60-90 minutes.

This study investigates the mutational consequences of global DNA hypomethylation by analyzing single-cell genetic variation in DNMT1-depleted cells, finding increased chromosomal instability without significant mutational burden or structural changes.

The paper introduces a new 3C method, MC-4C, to study multi-way DNA conformations and reveals cooperative and competitive chromatin interactions, including enhancer hubs and loop collisions.