Mass spectrometry (MS) remains the gold standard in metabolomics, particularly in untargeted approaches aimed at detecting and characterizing as many metabolites as possible in a sample. The combination of MS’s high selectivity and sensitivity with the extensive chemical diversity of the metabolome generates thousands of data points per sample, requiring tailored software solutions for efficient data processing and interpretation.
To address this challenge, we developed MARS, a vendor-agnostic software platform for high-throughput LC–MS metabolomics data analysis, equipped with a graphical user interface to maximize user-friendliness.
With MARS, users can perform peak picking, data refinement and normalization, metabolite identification against multiple reference databases, quantification, and univariate/multivariate statistical modeling—all within a single, integrated solution.
Articles:
- MARS: A Multipurpose Software for Untargeted LC–MS-Based Metabolomics and Exposomics
- January 18, 2024. Laura Goracci, Paolo Tiberi, Stefano Di Bona, Stefano Bonciarelli, Giovanna Ilaria Passeri, Marta Piroddi, Simone Moretti, Claudia Volpi, Ismael Zamora and Gabriele Cruciani
Posters:
- Recent advancements in MARS for computer driven-analysis in stable isotope labeling studies in untargeted metabolomics
- 73rd ASMS Conference on Mass Spectrometry. June 2025. Stefano Bonciarelli; Paolo Tiberi; Ismael Zamora; Marta Piroddi; Giovanna Ilaria Passeri; Gabriele Cruciani; Laura Goracci
- Recent improvements in MARS for computer assisted-analysis in untargeted stable isotope labelling studies in metabolomics
- 2025 Metabolomics and Human Health (GRS) Gordon Research Seminar. S. Bonciarelli, L. Goracci, P. Tiberi, I. Zamora, M. Piroddi, G. I. Passeri, and G. Cruciani
