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. 2023 Jun 8;10:369. doi: 10.1038/s41597-023-02249-1

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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 — Plot of the length and quality of our long reads datasets. The main graph of each technologies shows the histogram of size distribution from the randomly chosen 100 000 reads, in the corner of this graph is a boxplot of the quality of theses reads. Metrics are based on fastq file output and are technology dependent. CLR quality is not computed during fastq production and therefore not exploited. HiFi quality is not phred-score based.