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. 2015 Sep 17;16(1):197. doi: 10.1186/s13059-015-0758-2

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© Fang et al. 2015

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Obtaining the ground truth for the in silico tumor–normal data. In the NA12878 and NS12911 mixture, there are a total of 746,280 virtual somatic SNVs and 64,399 virtual somatic indels. A total of 2.2 billion high-confidence sites are interrogated (the remaining are ignored). During our analyses, a somatic mutation rate of one out of a million was enforced to represent a realistic prior probability of somatic mutations