Jurrian K. de Kanter

This study uses single-cell whole-genome sequencing to show that Burkitt lymphoma develops through convergent evolution, with early genetic diversity and accelerated mutation accumulation.

The paper disentangles protein-interaction and protein-quality effects in antibody-antigen binding using deep mutational scanning and evaluates models for their ability to predict these effects.

The paper creates a dataset of antibody-antigen complexes with mutations and evaluates affinity prediction methods, finding that current models poorly predict binding effects compared to empirical methods.

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.

CHETAH identifies cell types in scRNA-seq data using hierarchical clustering and reference data, offering accuracy and specificity, especially for unknown cell types.