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. 2023 Jul 8;14:4054. doi: 10.1038/s41467-023-39784-9

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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 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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Fig. 3 — a–d Comparing ccsmeth and primrose/pb-CpG-tools against BS-seq and nanopore sequencing under different coverages of HG002, SD0651_P1, and CHM13 CCS reads. ∆_p: Difference absolute value between methylated and unmethylated probabilities. Values are the average of 5 repeated tests. The standard deviation values of the multiple repeated tests are in Supplementary Tables 5–12. e Evaluation of ccsmeth model mode against BS-seq and nanopore sequencing using total CCS reads of HG002 (15Kb) (25.6×), HG002 (20 Kb) (17.0×), and HG002 (24 Kb) (28.4×), respectively. Values in upper triangles are Pearson correlations. CCS PacBio CCS sequencing; ONT nanopore sequencing, BS-seq bisulfite sequencing. f Evaluation of ccsmeth model mode against BS-seq using total 19.6× SD0651_P1 (15 Kb) CCS reads. r: Pearson correlation. g Evaluation of ccsmeth model mode against nanopore sequencing using total 16.5× CHM13 (20 Kb) CCS reads. Source data underlying a, b, c, and d are provided as a Source Data file.