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. 2017 Aug 25;7:9424. doi: 10.1038/s41598-017-09791-0

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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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Assessment of microbial diversity in the GMB1 sample using Principal Co-ordinate Analysis (PCoA) (a) unweighted 3-D visualization and (b) parallel visualization of UniFrac plots to reveal quantitative assessment of microbial diversity between the GMB1 samples. (c) Principal Co-ordinate Analysis (PCoA)-weighted 3-D visualization and (d) parallel visualization of UniFrac plots to reveal qualitative assessment of microbial diversity between the GMB1 samples.