Fig. 4

Sources of background counts and bias accounted for by the CHiCAGO model, illustrated with GM12878 data. a–c Different factors that the Brownian background component models: a multiplicative bait-specific bias (shown are three representative distance profiles for three different values of the bait-specific bias factor); b distance dependency, plotted on a log–log scale; c multiplicative other-end bias (each bar represents a pool of other ends defined by a range of trans-chromosomal read pairs accumulated by each other end; bait-to-bait interactions are pooled separately). d Technical noise is estimated separately for each combination of bait and other-end pools, with pool membership defined by the number of accumulated trans-chromosomal read pairs. Here, we show the technical noise level estimates for each bait-other end pool combination, grouped together by bait pool