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Figure 6 | BMC Bioinformatics

Figure 6

From: BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity

Figure 6

Combining somatic mutation calls from tumor/normal pair samples using BAYSIC. Somatic mutations from exome data from a single patient were predicted using Mutect, Strelka, Varscan2 and Shimmer and these four sets of somatic mutation calls were combined using BAYSIC with a posterior probability cutoff of 0.8. As a measure of sensitivity, the number of somatic mutations predicted by each caller that are present in COSMIC, a database of somatic mutation calls from other samples, is shown (top). As a measure of specificity, the percent of each set of somatic mutation calls that are present in COSMIC is shown (bottom). A horizontal dashed line indicating the percent of BAYSIC somatic mutational calls present in COSMIC is shown.

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