MathDAMP - Mathematica Package for Differential Analysis of Metabolite Profiles

Introduction

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.

References

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]

Applications

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]

New

TriDAMP - MathDAMP extension for the visualization of direct three-way comparisons of metabolite profiles. More...

Examples

Few examples, which may serve as templates for common types of differential analyses, are listed below: