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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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Accuracy of consensus trees produced by GraPhyC, for which we used trees produced by CloneFinder, MACHINA, TreeOmics, and LICHeE. Average MLTED (a), TreeVec (b), and RF (c) scores of GraphyC across datasets are shown together with the average scores from the use of CloneFinder, MACHINA, TreeOmics, and LICHeE separately (“Mean”). MA datasets were used. Error bars indicate single standard deviations. GraPhyC results are from applying the “path” option, but the other three options (“ancestor-descendant”, “clonal”, and “parent-child”) produced very similar results.