MetaboAnalyst 4.0 now contains a total of 12 modules organized into four general categories:

  • Exploratory statistical analysis: general statistics, biomarker analysis, two-factor/time-series analysis, and power analysis
  • Functional enrichment analysis: metabolite set enrichment analysis, metabolic pathway analysis, and pathway activity prediction from MS peaks (mummichog)
  • Data integration & systems biology: biomarker meta-analysis, joint-pathway analysis, and network explorer
  • Data processing & utility functions: compound ID conversion, batch effect correction, lipidomics, and links to several spectra analysis tools
It accepts a variety of metabolomics data types, as well as list of genes or KEGG orthologs (KOs) to support integrative analysis with transcriptomics or metagenomics respectively.

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