Plant Regulatory Genomics · Wheat · Multi-Omics
Wheat Epigenome Lab (WElab)
Regulatory genomics, population genetics, deep learning, and multi-omics integration in crops
We study gene regulation, population variation, and multi-omics integration in crops, with a particular focus on wheat. Our work aims to connect noncoding variation with chromatin accessibility, gene expression, and agronomic traits.
Research Interests
We investigate the genetic and epigenomic basis of trait variation in wheat through regulatory genomics, population genetics, deep learning, and multi-omics integration.
Regulatory genomics
Understanding how noncoding regulatory variation shapes chromatin accessibility, gene expression, and complex traits.
Population genetics
Exploring population structure, haplotype architecture, domestication, and evolutionary dynamics in crop genomes.
Deep learning
Developing computational approaches for regulatory element discovery and prediction of gene regulation from large-scale omics data.
Multi-omics integration
Linking ATAC-seq, RNA-seq, GWAS, TWAS, eQTL, and caQTL to connect genetic variants with regulatory activity and phenotype.