Go multiomics is the first tool designed for GO term enrichment analysis across the three major MS-based omics fields: proteomics, lipidomics, and metabolomics. It begins with a background list of identified biomolecules and a separate list of (differentially) regulated biomolecules, mapping each entry through proteins involved in metabolic reactions. GO term analysis is conducted using a statistical test is based on this mapping. Depending on the chosen domain—biological process, molecular function, cellular compartment, physical or chemical properties, or metabolic and signaling pathways—the analysis generates a ranked list of GO terms, each accompanied by a p-value.