Sang Mi Lee

The paper introduces MuTopia, a framework that identifies topographic archetypes of mutagenesis in cancer genomes, revealing that mutational processes are constrained by replication timing and chromatin state.

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

The paper develops a computational workflow to predict metabolite-gene-pathway associations in cancers using genome-scale metabolic models and mutation data, showing significant associations with specific somatic mutations.

The paper identifies new cancer predisposing genes by analyzing rare germline variants in Mendelian disease genes across cancer cohorts.