Arne van Hoeck

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.

This study shows that EXO1 is essential for survival of BRCA1-deficient cells and identifies it as a potential therapeutic target.

The paper develops a random forest classifier using genome-wide mutation features to classify cancer of unknown primary (CUP) with high accuracy.

This study compares whole-genome sequences of primary and metastatic tumors across 7,152 samples, revealing cancer-type-specific genomic changes and treatment-induced evolutionary bottlenecks.

This study identifies genomic subgroups in ovarian cancer associated with distinct treatment responses and survival outcomes using whole genome sequencing data.

The paper introduces an updated R/Bioconductor package for analyzing mutational patterns, demonstrating its ability to detect mutational signatures and their biological implications using simulated and real data.

GRIDSS2 identifies somatic structural variants by analyzing single breakends and phasing, achieving a 3.1% false negative rate in metastatic cancers and uncovering a novel duplication signature.

This study quantifies and characterizes mutation accumulation in human induced pluripotent stem cells and adult stem cells during in vitro culture, revealing distinct mutational signatures and higher mutation rates compared to in vivo.