Analysis of Labeled and Non-Labeled Proteomic Data

Proteomics experiments can readily generate large, complex data sets, making the analysis and interpretation of results, rate-determining steps. This application note demonstrates the ability of Progenesis QI for proteomics to achieve qualitative and quantitative results for both labeled and label-free quantitation workflows. Data acquired by means of data-dependent acquisition and data-independent acquisition strategies show consistency and precision in their reported quantitation values, independent of the quantitation methodology adopted.