Diversification and specialization of high-throughput technologies demand assay-specific treatment of data for reliable interpretation. A new study shows that data generated using the Hi-C approach contain hidden features of interchromosomal DNA interactions, which are revealed through analysis with an integrated probabilistic model that corrects for multiple sources of bias in the data.