Joseph Min

This study uses Fiber-seq to analyze TE regulatory potential in maize, revealing epigenetic patterns and gene interaction mechanisms.

The paper harmonizes single-cell perturbation datasets and introduces E-statistics for analyzing perturbation effects across diverse data sources.

MaveDB v2 curates over three million variant effects from MAVE studies to facilitate analysis and dissemination of functional assay data.

The paper predicts the pathogenicity of 11 million genetic variants across 1,081 disease genes using a deep learning model that leverages evolutionary data instead of clinical labels.