Overview
MetaboDiff starts from metabolite measurement tables and supports the analysis of sample traits through data-derived correlation networks.
What can this tool do?
Common uses
- Compare metabolite measurements between study groups.
- Explore modules associated with sample traits.
Scientific fit
Primary function
Statistical analysis
Data compatibility
Inputs
Feature or peak table, Sample metadata
Outputs
Statistical results, Human-readable report
Input formats
Other, Metabolite measurement and annotation tables
Output formats
Other, R differential-analysis and network objects
Scope and considerations
Designed for
- Compare metabolite measurements between study groups.
Not designed for
- Using correlations to establish biochemical reactions or causality.
Important requirements
- A metabolite abundance table and aligned sample/feature annotations.
Considerations
- Network estimates depend on sample size, missing-data handling and covariates; investigate sensitivity before interpreting modules.
Access and documentation
Public R source; consult package metadata for licensing. Some older hosted tutorial links may require the repository vignettes instead.
Evidence and review
Documentation-based editorial review on 7 September 2026. Scope and limitations summarize the linked official sources; software execution and developer verification were not assessed.
Core publications
Resource papers, direct updates and tool-specific methods. Selection policy.
- Mock A, Warta R, Dettling S, et al. MetaboDiff: an R package for differential metabolomic analysis. Bioinformatics 34, 3417-3418 (2018). doi:10.1093/bioinformatics/bty344
Related tools
Entry history
Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.
- 2026-09-08 · Entry update
Audit core publications across existing tools
View change · Entry at this revision - 2026-09-07 · First committed entry
Add 50 documented metabolomics resources
View change · Entry at this revision