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. 2020 Feb 7;10:2153. doi: 10.1038/s41598-020-59119-8

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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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Systematic selection of samples with a high fraction of informative reads. (a,b) The fraction of informative reads and number of barcodes with VAF > 0.02 was calculated for each sample in the training set. (a) Contour plot of N = 1000 bootstrap replicates for the standard deviation of the number of barcodes with VAF > 0.02 and the mean Φ, r = −0.34. (b) Histogram showing the bootstrap estimate and lower bound of the 95% confidence interval using the bias-corrected, accelerated method. (c) Fraction of informative reads in each training sample. Red line indicates the confidence interval from b. (d) Number of barcodes with VAF > 0.02 in the training samples with low and high fraction of informative reads. Box and whisker plots show median, 1st and 3rd quartiles, and 1.5 x the interquartile range. (e) Sharing Factor curves for the samples with a high Φ including all GESTALT variants (blue), all edited GESTALT variants (orange), and all remaining variants at the algorithmically selected final value of θ_V (pink).