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. 2022 Dec 23;12:22236. doi: 10.1038/s41598-022-26141-x

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© The Author(s) 2022

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 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/.

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Visualizations of the CLR-normalized data of all spiked samples: (A) Principal component analysis (PCA) plots showing sample clustering based on sample origin (pig1 vs pig 2) explained by PC1 and PC2, while (B) separation of samples based on storage conditions and library preparation kits used were explained by PC3 and PC4, respectively. (C) Relative log expression (RLE) plot of all spiked samples, showing considerable variations based on deviation of the medians between samples of the same source, as well as dissimilarity of interquartile ranges (IQR).