Skip to main content
Fig. 6 | BMC Bioinformatics

Fig. 6

From: SCONCE2: jointly inferring single cell copy number profiles and tumor evolutionary distances

Fig. 6

Jointly calling CNAs and summarizing data across multiple cells results in more accurate boundary detection. Inferred copy number profiles and read depth data are shown for two cells (A: 111, B: 59) simulated from tree C (maximally imbalanced, uniform branch lengths). Genomic index shows 110–250 kb windows along the x-axis, while the y-axis shows copy number (left) and read depth (right). Gray dots show per window read depth, the light blue line and band show the mean and variance of the diploid read depth, the dotted red line shows the true simulated copy number, and the blue and yellow lines show the inferred copy number calls for each cell. Arrows denote inferred breakpoints, and SSE values are listed for each subpanel. Subpanels show results from different copy number calling methods: SCONCE (independent analysis); one pair (analysis of cells A and B as a pair); mean, median, and mode (consensus calls from summarizing paired CNPs for cells A and B across all relevant pairs of cells). Breakpoint detection accuracy increases as more cells are included in the joint analysis

Back to article page