To showcase msFeaST we make use of the highresolution LC-MS/MS data from the study of Kathib et al. . Specifically, we make use of the contrast of the Pleurotus eryngii fruiting body samples grown on 0% olive mill solid waste substrate against those grown on 80% olive mill solid waste substrate. While each treatment group contained only 3 samples each, substantial differences in the metabolome can be observed with msFeaST, where many metabolites show elevated log-2 fold changes, and a lower number showing corresponding statistical enrichment patterns. We note that msFeaST allows generating a snapshot overview of features with differential abundance, both using set-wise p-values and feature-specific descriptive fold changes and pvalue contributions within the globaltest set statistic. Feature subsets of potential interest are easily spotted and their local topology can be explored (see supplementary figure ). For example, the differential feature in Figure B is visualized with its top 30 neighbor nodes, highlighting relatively strong connectivity of this feature beyond its small feature cluster highlighted in color. Edges discretely encode similarity while providing quantitative labels with exact similarity values, allowing inspection not only of topk neighbors but also the degree of their potential relationship.