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Figure 1 | BMC Bioinformatics

Figure 1

From: Enhancing cancer clonality analysis with integrative genomics

Figure 1

Kernel density and scatter plot (all mutations). Gaussian kernel density plot and a paired scatter plot, for Presentation (A) and Relapse (B) samples, for all mutations found within the filtering criteria. The x-axis for all plots is the variant allele frequency (VAF). A Gaussian kernel density estimator is used to approximate the mutational density (weighted by copy number) of the mutations plotted in the upper subfigures. Lower subfigures (scatter plots) plot each mutation found (with key genes labelled). The y-axis of each lower subfigure is the depth of coverage. Mutations in the scatter plot are given a glyph that indicates the level of multi-omic data available for the given mutation, blue circle (WES only) and red star (WES and RNA-seq)

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