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FREDA: A Web Application for the Processing, Analysis, and Visualization of Fourier-Transform Mass Spectrometry Data
David J Degnan1, Daniel M Claborne2, Amanda M White2
1Biological Sciences Division, University of Chicago, Illinois, Chicago, USA.
FREDA is a new web application that helps scientists analyze complex Fourier-transform mass spectrometry data without needing programming skills. It enables robust exploration and statistical comparison of molecular composition in various samples.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Computational Chemistry
Background:
- Fourier-transform mass spectrometry (FT-MS) is crucial for analyzing complex organic mixtures like soil and petroleum.
- The growing demand for FT-MS data analysis necessitates advanced informatics tools for robust and reproducible exploration.
Purpose of the Study:
- To introduce FREDA, an interactive web application designed for FT-MS data analysis.
- To provide spectrometrists with a user-friendly platform for data processing and exploration without requiring statistical programming expertise.
Main Methods:
- FREDA processes FT-MS data, computes chemical properties, and facilitates statistical comparisons between samples.
- The application integrates with molecular identification tools like CoreMS for comprehensive analysis.
- It offers data filtering, exploratory data analysis, and downloadable reports detailing all conducted steps.
Main Results:
- FREDA was utilized to analyze FT-MS data from a soil microbiology study comparing two different soil depths.
- Kendrick, Gibbs free energy, and van Krevelen plots revealed differences between soil depths.
- G-tests confirmed statistically significant differences between the sample groups, all within the FREDA application.
Conclusions:
- FREDA is an open-source web application empowering users to explore FT-MS data and draw statistically valid conclusions.
- The application is accessible online with tutorial resources and its code is available on Github.
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