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metabolite classification Cross-Omics Integration Pathway mapping of shared KEGG/GO terms Genemetabolite correlation analysis (Pearson/WGCNA) Consistency testing using CCorA Data Interpretation Network reconstruction linking regulatory genes with metabolites Highlighting of key pathways and candidate biomarkers Preparation of publication-ready figures and models Quality Control Sequencing QC: base quality scores, mapping rates, read distribution Metabolomics QC: retention time stability, signal-to-noise ratio, metabolite identification levels Cross-omics QC: replicate correlation, coefficient of variation (CV), internal standard monitoring Reporting: all QC metrics are documented and included in the final report Data Delivery Clients receive a complete package including raw and processed data, bioinformatics reports, and figures

Yang H, Ding Z, Li YT, Li SY, Wu PK, Hou QH, Zheng Y, Gao B, Huo KF, Du WJ, Shaw LL