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. 2017 Oct 3;18(Suppl 11):383. doi: 10.1186/s12859-017-1802-x

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© The Author(s) 2017

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. 1 — Log R ratio for simulated data, in different types of CNVs. These values are used as input for PennCNV-Seq algorithm, and were estimated for sequencing data. We generated 10 samples with 240 CNVs each, with copy-number (cn) 0, 1, 2, 3 and 4. After that, the mean LRR was generated for each region