A metabolomics analysis often starts with a familiar export and a familiar problem: the data is available, but the path from workbook to reviewed result still takes too much manual coordination.
Master Metabolomics is designed around that handoff. The desktop app accepts CSV and XLSX files, including Skyline-style small-molecule report exports, then keeps file context, retained molecules, excluded rows, blank columns, sample groups, thresholds, and analysis status visible in one workbench.
That matters because small changes can alter the output. A blank threshold, test group, control group, fold-change cutoff, or p-value cutoff should be visible when someone reviews the result. The app treats Run Analysis as an explicit apply step so those choices are intentional.
The workflow also keeps the processing log close to the analysis. Instead of relying on scattered notes, labs can review what was loaded, how rows were handled, and which result set was exported.
The goal is not to replace scientific judgment. It is to remove the routine interface work between the export and the review so scientists can focus on the comparison itself.