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. 2023 Nov 22;13:20444. doi: 10.1038/s41598-023-47135-3

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© The Author(s) 2023

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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The distribution of substitution signature in the dataset N0015 by using various low-frequency variant callers. (A) The distribution of true variant sets in the dataset N0015. (B–I) The distribution of substitution signature of false positive variants in the dataset N0015 by using DeepSNVMiner, MAGERI, smCounter2, UMI-VarCal, SiNVICT, outLyzer, Pisces, and LoFreq, respectively.