Overview
FAMetA is an R package for model-based fatty-acid metabolic analysis. The publication also describes a web application. Its workflow uses LipidMS for preprocessing and accucor for natural-abundance correction before fitting fatty-acid metabolic contributions.
What can this tool do?
Common uses
- Investigate fatty-acid metabolic contributions in tracer experiments.
Scientific fit
Primary function
Isotope tracing and flux analysis
Data compatibility
Inputs
Isotope-tracing data
Outputs
Statistical results, Human-readable report
Input formats
Fatty-acid carbon-13 mass-isotopologue profiles prepared for the R workflow
Output formats
Fitted fatty-acid metabolic contributions and graphical summaries
Scope and considerations
Designed for
- Model-based analysis of fatty-acid labeling.
Not designed for
- Untargeted structure identification or unrestricted whole-network flux analysis.
Important requirements
- Suitable carbon-13 labeling data and the R/LipidMS/accucor dependencies.
Considerations
- Model assumptions, tracer choice and isotopologue measurement quality constrain interpretation.
Access and documentation
License declared as GPL (>= 2) in package DESCRIPTION. The paper describes a web app, but current hosted availability was not verified.
License: GPL-2.0-or-later
Evidence and review
Discovered through the Enveda review intake; official repository and primary publication metadata checked on 2026-10-02. Editorial review only; software and performance not execution-tested.
Core publications
Resource papers, direct updates and tool-specific methods. Selection policy.
- FAMetA: a mass isotopologue-based tool for the comprehensive analysis of fatty acid metabolism. Briefings in Bioinformatics (2023). doi:10.1093/bib/bbad064
Related tools
Entry history
Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.
- 2026-10-02 · First committed entry
Add five source-verified isotope and spatial tools from Enveda intake
View change · Entry at this revision