Metabolomics Subcenter (Met-SC): an integrated metabolomics database and analysis platform

The rapid growth of metabolomics data has increased the need for integrated storage, analysis, and reuse. Here, we present Metabolomics Subcenter (Met-SC) V1.0 (https://metabolomics.dicp.ac.cn/), an integrated database and platform for standardized data deposition, spectral-resource management, online analysis, and disease-focused knowledge mining. The deposition framework captures project, sample, pretreatment, and instrument metadata across chromatographic, capillary electrophoresis-mass spectrometry, and nuclear magnetic resonance workflows. Met-SC contains 7  756  867 reference spectra associated with 1 989 680 unique compounds and 73  014  049 unknown-feature spectra derived from diverse biological matrices and experimental conditions. Its web-based analysis module provides 27 functions for data preprocessing, quality-control visualization, and statistical analysis. Metabolism-centered knowledge graph for colorectal cancer (MetKG-CRC) comprises 108 679 biomolecular entities and 600 093 literature-supported evidence triples. By linking data deposition, spectral resources, analysis, and evidence-supported knowledge exploration in a single platform, Met-SC facilitates reproducible metabolomics data management and downstream discovery.