Hedwig Nora Nordlinder

This paper shows a transformer-based generative model for proteins spontaneously creates symmetry without explicit training or generation constraints.

difFUBAR provides a scalable Bayesian method to compare adaptive evolution across different branch sets in phylogenetic trees, showing computational gains and moderate statistical benefits over existing methods.