While many global genomics analyzes gene variants or RNA expression products, the levels of proteins are usually the most informative.  At the same time, quantifying proteins is relatively difficult, especially when trying to obtain a snapshot of the proteome from a single cell or tissue. Dr. Parag Mallick of Stanford University and Nautilus Biotechnology describes the utility of high-throughput proteomics, and how the technology incorporates a novel detection method and machine learning to quantify large suites of proteins. The applications are almost endless and present great opportunities to understand how accumulation of specific proteins relates to biological function or disease states.