Statistics Toolbox for Study: ST002245

Title: Deciphering the metabolomic differences between two fast-growing cyanobacteria, S.elongatus PCC 11801 and 11802 via metabolite profiling

Select a dataset:

Reversed phase NEGATIVE ION MODE

Run analyses on data in Study ST002245 Dataset: Reversed phase NEGATIVE ION MODE

Metabolite structures and classes (all analyses combined)

• Pie chart of metabolite super classes
• Pie chart of metabolite main classes
• Pie chart of metabolite sub classes
• Molecular structure similarity analysis

Normalization and averaging

• Perform sample normalization / Show metabolite averages / Run cluster analysis
• Perform analyte scaling on data
• Create Relative log abundance plots

Univariate analysis

• Perform multi-condition dot plot analysis
• Perform Volcano plot analysis
• Perform ANOVA analysis

Clustering and correlation

• Perform hierarchial or heatmap cluster analysis
• Perform Clustered correlation analysis
• Perform Network analysis on correlated metabolites (mapped to classification)
• Perform Network analysis on correlated metabolites (mapped to fold-change)

Multivariate analysis

• Perform Principal component analysis
• Perform Linear discriminant analysis (not applicable)
• Perform Partial least-squares discriminant analysis (PLS-DA)

Classification and feature analysis

• Perform OPLS-DA and VIP projection
• Random Forest and VIP projection

MetaBatch Omic Browser (MD Anderson Cancer Center)

(Clustered Heat Maps, PCA+, UMAP, box plot, violin plot, and other visualizations)

• Load this study
• Load this analysis (AN003665)

MetENP: Metabolite enrichment and species-specific pathway annotation

• MetENPWeb analysis
• MetENP R package
• MetENP tutorial

Mapping metabolites to human biochemical pathways

• Not applicable (non-mammalian)