Metabolomics

TidyMassShiny is a Shiny application that provides an interactive interface for the TidyMass project, enabling users to perform comprehensive metabolomics data analysis and visualization with ease.

The deepPseudoMSI project is the first method that convert LC-MS raw data to “images” and then process them using deep learning method for diagnosis.

metID is a R packge which is used for metabolite identification based on in-house database and public database based on accurate mass, retention time and/or MS2 spectra.

TidyMass project is a comprehensive computational framework that can process the whole workflow of data processing and analysis for LC-MS-based untargeted metabolomics using tidyverse principles.