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. 2022 Apr 22;23:319. doi: 10.1186/s12864-022-08541-5

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© The Author(s) 2022

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Comparison of consensus genome quality obtained from the GridION and the MiSeq and analyzed on Nextclade: To compare the quality of consensus genomes obtained from the GridION and the MiSeq, consensus genomes from both platforms were uploaded to Nextclade and the results plotted on a double bar graph. Genome quality was broken down into three groups; good, mediocre, and bad, with the GridION represented in blue and the MiSeq represented in orange. Statistical significance (Wilcoxon rank sum tests) is represented by “*” (**: p < 0.01, ***: p < 0.001). Sequencing scores ranging between 0 and 29 are classified as good, 30 – 99 are classified as mediocre, whilst 100 and above are classified as bad