Matthew Francoeur

The paper introduces ACCESS-ATAC, a method that improves TF binding site prediction resolution and reveals allele-specific co-occupancy patterns in HepG2 and K562 cells.

This paper improves variant effect quantification in base editing screens by integrating genotypic and phenotypic data using a Bayesian network called BEAN.

This study identifies 21 genes whose rare variants affect LDL-C levels by altering cholesterol uptake, using CRISPR screening and co-essentiality analysis.