Betty B. Liu

This study links in vitro transcription factor affinities to in vivo single-molecule chromatin states using thermodynamic models and experimental data for KLF1.

The paper uses a single-cell multi-omic atlas and deep learning to identify cis-regulatory elements and genetic drivers of heart development and disease.

The paper identifies disease-linked regulatory DNA variants and their impact on epidermal homeostasis by analyzing SNVs, TF binding, and gene dysregulation in polygenic skin diseases.

The paper develops RoboATAC, an automated ATAC-seq method, to study how TF dosage affects chromatin accessibility and gene expression, finding that DNA sequence predicts dosage sensitivity and nucleosome positioning patterns vary by TF.

The paper presents a single-cell multi-omics atlas of human development and uses deep learning to analyze regulatory DNA motifs and their impact on chromatin accessibility and gene expression.

The paper maps binary SARS-CoV-2 protein interactions with host proteins, identifying key processes like immune signaling and ubiquitination, and suggests therapeutic targets.