While affinity purification mass spectrometry data is a sensitive and scalable technique for surveying protein interactions, distinguishing between real and background contaminants is a challenging task. This tool provides several empirical and statistical models for scoring of interactions and helps make this distinction. An integrated and advanced network generation tool helps create comprehensive interaction maps using ‘high confidence interactions’ from user data and prior knowledge (iRefIndex/BioGRID). (read more)