Andrew Schultz

The paper introduces CLONEID, a framework for organizing clone-resolved data to enable longitudinal genotype-to-phenotype mapping in experiments with repeated molecular and phenotypic measurements.

The paper integrates sequencing and imaging data to map cell cycle states, linking transcriptome states to living cells with high resolution.

The paper models clonal interference in cancer cell lines using phenotypic data to predict growth rate and carrying capacity differences between karyotypes.