Metabolomics Bioinformatics Analysis
The high-throughput methods used in metabolomics research generate a large amount of data related to metabolic analysis, which requires bioinformatics methods for processing. Bioinformatics analysts at BGI-Park are capable of deeply mining and comprehensively analyzing metabolomics data knowledge, starting from raw mass spectrometry data, performing peak alignment, retention time correction, and peak area extraction. Metabolite structure identification is carried out using precise mass matching (<25 ppm) and secondary spectrum matching, searching the METLIN and HMDB databases; when comparing two groups, ion peaks with missing values >50% in both groups are removed; then the data is normalized (using autoscaling or UV methods). BGI-Park applies MetaboAnalysis and SIMCA-P software for multivariate and univariate statistical analyses, including PCA, PLS-DA, OPLS-DA, and pathway enrichment analysis, ensuring comprehensive and accurate metabolomics analysis results.
Metabolomics Bioinformatics Analysis
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