Metabolomics Bioinformatic Analysis Service

    The high-throughput methods employed in metabolomics generate substantial amounts of metabolic analysis data, necessitating the use of bioinformatics techniques for its processing. Bioinformatics experts at MtoZ Biolabs are capable of performing thorough and comprehensive analyses of metabolomics data. Beginning with raw mass spectrometry data, they conduct peak alignment, retention time correction, and peak area extraction. Metabolite structure identification is performed using accurate mass matching (within 25 ppm) and secondary spectrum matching in the METLIN and HMDB databases. During comparative analysis of two groups, ion peaks with more than 50% missing values in both groups are excluded. The data is subsequently normalized using autoscaling or the UV method. For statistical analysis, MtoZ Biolabs employs MetaboAnalysis and SIMCA-P software to carry out both multivariate and univariate analyses, including PCA, PLS-DA, OPLS-DA, and pathway enrichment analysis. This approach ensures the delivery of comprehensive and precise metabolomics analysis results.

     

    Services at MtoZ Biolabs

    1. Quality Assessment of Metabolomics Data

    2. Principal Component Analysis (PCA)

    3. PLS-DA/OPLS-DA 2D Diagram

    4. Data Normalization Analysis

    5. Univariate Statistical Analysis

    6. Cluster Analysis of Differential Metabolites

    7. KEGG Differential Metabolite Pathway Analysis

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