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. 2020 Feb 26;10:3498. doi: 10.1038/s41598-020-59006-2

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Comparison of the performances of clone prediction methods with low sequencing depth (50x). Average MLTED (a), TreeVec (b), and RF (c) scores were compared between datasets with 200x and 50x coverage. MA datasets were used for those with 200x coverage. We generated 50x datasets by using true clone genotypes and clone frequencies of MA datasets. Error bars indicate a single standard deviation.