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. 2015 Nov 10;16:379. doi: 10.1186/s12859-015-0812-9

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© Van der Borght et al. 2015

Open AccessThis 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. 1 — QQ-SNV variant calling. Schematic view of QQ-SNV variant calling methodology starting from Illumina NGS data. a QQ-SNV workflow b QQ-SNV_D c QQ-SNV_HS d QQ-SNV_HS-P80, 80^th percentile (P80) of the QQ-SNV_HS distribution of “error” frequencies was used as frequency cutoff to decrease the number of false positives obtained with QQ-SNV_HS