(a) Genes with similar genetic interaction profiles, based on fitness-based or single cell phenotypes, can be computationally clustered to identify groups of genes likely to share functions in common. A global network view can be produced by plotting genes on the network based on quantitative analysis of the similarity in their genetic interaction profiles. Genes that share a lot of genetic interactions in common are spatially closer together on the global network, whereas genes with less similar genetic interaction profiles are placed further apart. The resultant network can be functionally annotated to discover the functional information associated with the various clusters or groups on the network. (b) The position and connectivity of genes on the global genetic interaction network enables prediction of their participation in biology pathways or protein complexes, and of unknown gene function. For example, YFG3 is predicted to participate in the same pathway as YFG1 and YFG2 by virtue of its similarity of genetic interaction profile. (YFG = your favorite gene).