What's new
Every release, every month — new capability on the platform your discoveries compound on, with nothing for you to rebuild.
Your experiment already has structure, and this month the analysis takes it into account. Block on repeated measures so samples from the same donor are not treated as independent, overlay a second metadata column on your PCA, normalize gene counts on the upper quartile, and test pathways against statistics you have already computed.
Read the full editionBring your own
Your data no longer has to arrive at a particular stage to be useful. Upload pairwise and dose-response results you ran elsewhere, run GSEA and ORA on metabolites, read the modifications actually present in your PTM data, and put your own figure, table, image or network on the page beside your analysis.
Read editionYour tools, now connected
Your AI tool, whether that’s Claude, ChatGPT or Codex, now connects to your Mass Dynamics workspace. Plus bring your own analysis sets to GSEA, and run GSEA and ORA on your PTM data.
Read editionMore of your workflow, deeper
More ways to move from complex omics data to biological insight — with new analysis capabilities, stronger scientific context, and continued improvements across the platform.
Read editionRead your biology, more ways
Over-representation analysis (ORA) joins GSEA, new interpretation views connect your results across omics, and your plots get more control — all on one connected platform.
Read editionYour omics, more connected
Transcriptomics and WGCNA arrive, enrichment gets interactive, and Mass Dynamics goes agent-ready with API & MCP access. Fresh from ASMS.
Read editionYour data, more connected
Account for batch effects with ComBat, go from entities to biology with CAMERA GSEA, and trace every change with a workspace audit log.
Read editionMore control, faster answers
Grouped dose-response curves, sharper volcano plot controls, workspace metadata search, and a new datasets view.
Read editionNever miss a release
One short email a month on what's new in Mass Dynamics. No noise, just what you can now do with your data.