We develop computational approaches to make sense of genetic variation. And we learn to design biological tools for environmental and human health.
Generative probabilistic biological sequence models that account for mutational variability
Here we introduce a structured emission distribution (the MuE distribution) that accounts for mutational variability (substitutions and indels) and use it to construct generative and predictive hierarchical Bayesian models (H-MuE models).
EVOLUTIONARY COUPLINGS
PREDICTING PROTEIN STRUCTURES, COMPLEXES, AND CONFORMATIONAL PLASTICITY FROM EVOLUTION
Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact
Here, we used multiplexed, sequencing-based assays to measure the effects of 2,695 VKOR missense variants on abundance and 697 variants on activity in cultured human cells.