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. 2020 Oct 8;10:16774. doi: 10.1038/s41598-020-72818-6

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© The Author(s) 2020

Open Access This 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/.

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Outline of pipeline development. (a) Flowchart of developed pipeline, which includes Python functions() for each step available in our repository. CNV calling is available separately. (b) Number of variants called in healthy plasma samples (n = 20) in different frequency bins using a baseline approach (mpileup), default settings on our pipeline and stringent settings.