L. Alexander Liggett

The paper develops a method to quantify somatic mutation burden in whole-genome sequencing data without paired-tissue samples and identifies genetic and phenotypic correlates of clonal hematopoiesis without known driver mutations.

The paper introduces SCAVENGE, a method mapping causal variants to cellular contexts at single-cell resolution, identifying disease-relevant cell types and mechanisms.

FERMI improves detection of rare somatic mutations by reducing sequencing and library preparation errors, enabling tracking of clonal evolution in leukemia.