The development of MSnbase aims at providing researchers dealing with labelled quantitative proteomics data with a transparent, portable, extensible and open-source collaborative framework to easily manipulate and analyse MS2-level raw tandem mass spectrometry data. The implementation in R gives users and developers a great variety of powerful tools to be used in a controlled and reproducible way. Furthermore, MSnbase has been developed following an object-oriented programming paradigm: all information that is manipulated by the user is encapsulated in ad hoc data containers to hide it's underlying complexity. We illustrate the usage and achievements of our software using a published spiked-in data set in which varying quantities of test proteins... |