Untargeted metabolomics
is a growing field, in which recent advances
in high-resolution mass spectrometry coupled with liquid chromatography
(LC-MS) have facilitated untargeted approaches as a result of improvements
in sensitivity, mass accuracy, and resolving power. However, a very
large amount of data are generated. Consequently, using computational
tools is now mandatory for the in-depth analysis of untargeted metabolomics
data. This article describes MetAbolomics ReSearch (MARS), an all-in-one
vendor-agnostic graphical user interface-based software applying LC-MS
analysis to untargeted metabolomics. All of the analytical steps are
described (from instrument data conversion and processing to statistical
analysis, annotation/identification, quantification, and preliminary
biological interpretation), and tools developed to improve annotation
accuracy (e.g., multiple adducts and in-source fragmentation detection,
trends across samples, and the MS/MS validator) are highlighted. In
addition, MARS allows in-house building of reference databases, to
bypass the limits of freely available MS/MS spectra collections. Focusing
on the flexibility of the software and its user-friendliness, which
are two important features in multipurpose software, MARS could provide
new perspectives in untargeted metabolomics data analysis.