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. 2018 Jan 31;8:1926. doi: 10.1038/s41598-018-20414-0

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© The Author(s) 2018

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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Outline of data analysis process. Gray boxes and black arrows represent the analysis workflow, gray dotted lines represent comparisons between different approaches used for data analysis. (C1) Influence of the database used to train the Bayesian classifier; (C2) influence of the number of reads on taxonomic results; (C3) influence of paired-end reads merging on the taxonomy; (C4) comparison between different 16S rRNA sequencing approaches (with independent taxonomic analysis of forward and reverse paired-ends); (C5) comparison between different 16S rRNA sequencing approaches (using merged paired-ends).