Genome evolution
Genome assembly, pangenomics, structural variation, evolutionary genomics, and population genomics.
Research
Research areas
Functional genomics
Transcriptomics, pan-transcriptomics, and integrated analysis of gene expression and genome variation.
Data-driven biology
Quantitative genetics, statistical modeling, and AI-based prediction of complex biological traits.
Phenomics and bioinformatics
Phenotyping, experimental evaluation, reproducible analysis pipelines, and AI for biological data.
Current projects
Carrot pan-genome
Deciphering carrot domestication and genome diversity through pan-genome analysis.
Wheat population genomics
Identifying genetic variants and candidate genes associated with complex traits in wheat through large-scale population genomics.
Research software
OrganelleCleaner
A graph- and sequence-based tool for identifying and removing plastid- and mitochondria-derived contigs from nuclear genome assemblies.
qtlseq-refine
Python scripts for refining significant ΔSNP-index regions with high-resolution, multi-scale sliding-window analysis and simulation-based validation.
RNA-seq pipeline
A reusable bulk RNA-seq workflow for transcriptome studies, covering quality control, trimming, alignment, read counting, and differential expression analysis.