Yi Li

This paper proposes a context-dependent framework for variant interpretation by analyzing LPL loss-of-function variants, showing how residual activity levels influence clinical outcomes.

This paper presents a computational pipeline for designing VHH nanobodies against LGR5 without structural templates, resulting in high-affinity, stable binders validated by cryo-EM.

This paper computationally designs soluble CCR8 analogues that retain native antibody binding, achieving a 62% success rate with preserved structural and functional properties.

The paper introduces Limpute, an efficient algorithm for genotyping common variants from low-coverage sequencing data, achieving high imputation accuracy with faster runtime than GLIMPSE2.

This study identifies genetic differences in HAPC susceptibility between Tibetans and Han Chinese using GWAS, revealing distinct pathways involved in each group.

This paper introduces a new statistical method for GWAS that improves power and reduces false positives by using large public databases as references.

The paper introduces DeepCons, a deep learning model to predict evolutionary conservation in DNA sequences and identifies both known and novel functional elements.