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. 2020 Nov 11;21:518. doi: 10.1186/s12859-020-03859-x

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 3 — Comparison of CNVs by platforms. Box plot shows the number (upper), precision based on Benchmark1 (median) and precision based on Benchmark2 (lower) of common and specific CNVs between platforms by different tools (column). Precision1, precision based on Benchmark1; Precision2, precision based on Benchmark2; DNBSEQ, specific CNVs on DNBSEQ™ platforms; Illumina, specific CNVs on Illumina platforms; Common, common CNVs between the DNBSEQ™ and Illumina platforms