Justus L. Großmann

The paper benchmarks proteomics accuracy using a large-scale dataset, identifying systematic errors and providing a resource for method optimization and software evaluation.

QuantUMS, a machine-learning module in DIA-NN, weights MS1 and fragment signals by quality-derived variance estimates, improving DIA precision, removing ratio compression in high-accuracy mode, and scoring each quantity's reliability.