Yuting Liu

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 presents haplotype-resolved genome assemblies for two Munage grapevine cultivars, identifies genes associated with fruit color traits, and highlights adaptive selection in ancient grapevines.

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.

This paper introduces a bi-parental graph strategy to assemble and analyze hybrid plant genomes, demonstrating its effectiveness in resolving structural variations and allele-specific gene expression.

HEMU provides a multi-omics database and analysis platform for the Andropogoneae tribe, enabling comparative genomics across species and omics layers.