Institute for Advanced Biosciences Keio University
MathDAMP Mathematica package for differential analysis of metabolite profiles
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MathDAMP facilitates the visualization of differences between metabolite profiles acquired by hyphenated mass spectrometry techniques. Differences are highlighted by applying arithmetic operations to all corresponding signal intensities from whole raw (automatically preprocessed and normalized) datasets on a datapoint-by-datapoint basis. The results are visualized using density plots. More...
MathDAMP requires Mathematica to run. Trial version of Mathematica can be downloaded from Wolfram website.

Package description (please cite this paper when you use MathDAMP)
Baran, R. et al. (2006) MathDAMP: a package for differential analysis of metabolite profiles. BMC Bioinformatics 7: 530 [link]

Soga, T. et al. (2006) Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption. J. Biol. Chem. 281: 16768-16776 [link]
Saito, N. et al. (2006) Metabolomics Approach for Enzyme Discovery. J. Proteome Res. 5: 1979-1987 [link]
Baran, R. et al. (2007) Visualization of three-way comparisons of omics data. BMC Bioinformatics 8:72 [link]
Yoshida, S. et al. (2007) Identification and characterization of amidase- homologous AMI1 genes of bottom-fermenting yeast. Yeast 24: 1075-1084 [link]
TriDAMP - MathDAMP extension for the visualization of direct three-way comparisons of metabolite profiles. More...
Few examples, which may serve as templates for common types of differential analyses, are listed below:
Quick Start
Simple comparison of two metabolite profiles.
Description and examples of the usage of MathDAMP's core functions.
Two datsets
Comparison of two metabolite profiles.
Identification of outlier signals in a group of multiple metabolite profiles.
Two groups of replicate datasets
Comparison of two groups of replicate metabolite profiles.
Multiple groups of replicate datasets
Comparison of multiple groups of replicate metabolite profiles.
Reference documentation for MathDAMP functions.
MathDAMP package file notebook.

MathDAMP package file along with example notebooks and sample datasets.
By downloading the package you agree to MathDAMP Terms of Usage