Jenhan Tao

The paper introduces a machine-learning pipeline, CellCartographer, to design TF pooled-screens for cell type conversion using chromatin accessibility data, achieving efficient differentiation of iPSCs into six cell types within 6 days.

This study identifies two broadly neutralizing sarbecovirus antibodies that resist viral evolution and show improved neutralization when combined.

The paper systematically analyzes naturally occurring insertions and deletions (InDels) to assess their impact on transcription factor spacing and identifies tolerant and sensitive TF pairs.

The paper revises transcription start site annotations in Chinese hamster genes using experimental data to improve gene engineering and glycosylation in CHO cells.

The paper describes a targeted sequencing assay and bioinformatics workflow for comprehensive genomic profiling of cancer, achieving high accuracy in variant detection and biomarker assessment.

The paper identifies non-redundant DNA binding activities of AP-1 family members in macrophages using ChIP-sequencing and machine learning, showing motif ensembles drive factor-specific binding.