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. 2018 Apr 26;8:6558. doi: 10.1038/s41598-018-24830-0

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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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Scatterplot correlation between LFC estimated by RNA-seq and Fluidigm Biomark. Each point represents a gene’s log fold change (LFC) as measured by RNA-seq (y-axis) and Fluidigm Biomark (x-axis). Contrasts between challenged and nonchallenged birds within each line and within each time were used to generate this plot. A total of 32 genes were analyzed across these six different contrasts resulting in 192 data points. The correlation between the two technologies was r = 0.77.