XIAO WANG / 2026-09-29

Research

From metabolites to mechanisms. From omics data to accessible tools.

Developing methods for large-scale LC-MS data, metabolite annotation, origin inference and functional module analysis.

Integrating metabolomes, transcriptomes and genetic variation to investigate specialized metabolism and crop quality.

Turning bioinformatics methods into accessible, reusable research tools with R, Shiny and reproducible workflows.

Open research software

A user-friendly pipeline for large-scale plant metabolomics.

Shiny application development within the tidyMass team.

Interactive weighted gene co-expression network analysis.