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. 2017 Jun 14;7:3510. doi: 10.1038/s41598-017-03734-5

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© The Author(s) 2017

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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Serotype detection of clinical samples. (A–C) Results of the LAMP analysis (A), RT-PCR analysis (B) and Sanger sequencing (C) using clinical samples (n = 4). (D) Results of the MinION sequencing; the numbers of sequence reads corresponding to the indicated serotypes are shown. (E) Result of alignment for each sample, plotted according to the number (y-axis) and the average LAST scores of the reads that supported the serotypes of the top hits (blue dots) and the later hits (red dots) (n = 11). The range of negative signals (red dots) is indicated by the broken red box. Note that its range is clearly separate from the positive signals (blue dots). (F) The accuracy of the sequencing as calculated above. (G) Upper panel, MinION sequence alignment between the generated consensus sequence from a particular patient and the reference genome. Middle and lower panels, results from Illumina (middle panel) and Sanger sequencing (lower panel) using the same sample. The position of the identified SNV is highlighted by the red box. This image is a representation of one patient sample.