Plant metabolomics
Developing methods for large-scale LC-MS data, metabolite annotation, origin inference and functional module analysis.
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.
A user-friendly pipeline for large-scale plant metabolomics.
R / SHINY↗Shiny application development within the tidyMass team.
R / NETWORK ANALYSIS↗Interactive weighted gene co-expression network analysis.
GO / ACADEMIC WEBSITES↗A visual editor for academic and lab websites, with Markdown blogging and live previews.
RUST / NETWORK ANALYSIS↗A pure-Rust kernel for weighted gene co-expression network analysis, with multithreading and no system BLAS setup.
GO / VUE / RUST↗A visual platform powered by rsWGCNA, with one-click or stepwise analysis, interactive charts and publication-ready exports.