Tony Li

The paper introduces LAMPRAs to measure how cis-regulatory element composition affects gene expression using synthetic loci.

The paper systematically perturbs enhancer sequences to study their functional properties and robustness, revealing insights into regulatory sequence space and enhancer activity.

The paper studies the evolutionary changes of mammalian enhancers by analyzing orthologous sequences across multiple species and using deep learning to model functional changes.

This paper introduces fibertools, a toolkit for DNA-m6A detection and integration of long-read genetic and epigenetic data, achieving high accuracy and speed.