Qiming Long

This study uses deep learning and genome-wide association studies to identify pest-resistant genes in grapevine, achieving high accuracy in predicting pest damage.

This study examines hemizygous genes in 22 crop genomes, finding higher hemizygosity in clonal lineages and distinct expression and epigenetic features compared to diploid genes.

This study identifies the polygenic basis of seedlessness in grapevines using integrative genomics, revealing key genes and a machine learning model with 99% prediction accuracy.