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MetaboDiff: an R package for differential metabolomic analysis
Andreas Mock1,2,3, Rolf Warta1,2, Steffen Dettling1,2
1Division of Experimental Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.
Bioinformatics (Oxford, England)
|May 3, 2018
Summary
The MetaboDiff R package simplifies differential metabolomic analysis for researchers. It enables exploration of sample traits within metabolic correlation networks, making complex data more accessible.
Area of Science:
- Bioinformatics
- Computational Biology
- Metabolomics
Background:
- Comparative metabolomics is increasingly accessible to translational researchers beyond specialized mass spectrometry labs.
- A need exists for user-friendly tools to analyze metabolomic data.
Purpose of the Study:
- To introduce the MetaboDiff R package for accessible differential metabolomic analysis.
- To provide functionality for exploring sample traits within metabolic correlation networks.
Main Methods:
- Development of the MetaboDiff R package.
- Utilizing metabolite measurement tables as input.
- Network-based exploration of sample traits.
Main Results:
- MetaboDiff offers a low-level entry point for differential metabolomic analysis.
- The package facilitates the exploration of relationships between sample characteristics and metabolite data.
- Provides a data-derived metabolic correlation network for visualization.
Conclusions:
- MetaboDiff enhances the accessibility of differential metabolomic analysis for a broader research community.
- The package supports translational research by integrating metabolomic data with sample traits.
