R shiny user guide

Process and analyze LC-MS data through the independent tidymassshiny browser interface. For the desktop application’s Shiny tools installer, use the macOS/Windows guide.

The checked public source reports tidymassshiny 1.0.0. Hosted deployments and Docker images may use different builds; record the version actually running.

  1. Install or access R Shiny
  2. Create a project and import data
  3. Assess quality and clean data
  4. Annotation, statistics and enrichment
  5. fMSEA, FPA and database toolkits
  6. Save results and solve problems

Application source · Original complete tutorial

Last updated on Sep 23, 2026