Abstract
In recent years, studies investigating protein-protein interactions on a proteome-wide scale have increased exponentially. These developments were achieved through implementation of new techniques, as well as improvements in mass spectrometry hardware. However, issues specific to this type of technique, such as distinct imputation of random and not-at-random missing proteins, have not been completely addressed. Here, we present DEprot, an R-package providing a comprehensive toolset for end-to-end analysis and visualization of proteomics data. Moreover, we implemented a serial imputation strategy for handling non-random missing values, particularly suitable for protein enrichment techniques and knockout conditions.