Figure 1

Overview of the CGHnormaliter method. First break-points and segments are detected (step 1) and initial calling is performed to distinguish normals from gains and losses (step 2). Subsequently, a 'local-LOWESS normalization' procedure is followed which uses only the normals to calculate the LOWESS regression curve (step 3). The following step consists of break-point detection and segmentation (step 4) after which new calls are established (step 5). If the latter calling differs with respect to the previous calling, the procedure is repeated from step 3.