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. 2017 Jul 26;7:6548. doi: 10.1038/s41598-017-06738-3

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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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Expression of Genes Predictive for Bacterial Involvement in LRTI. (A) Violin plots of RNASeq-based expression data for 11 selected genes, from 3 canonical pathways, that provide predictive value for identifying bacterial involvement in lower respiratory track infections. Q-values for differential expression between bacterial and non-bacterial groups are indicated beneath the gene names. Horizontal lines indicate group medians. (B) Quantitative reverse transcriptase-polymerase chain reaction (qPCR)- based expression data for each of the 11 genes. P-values for differential expression between bacterial and non-bacterial groups are indicated beneath the gene names. Horizontal lines indicate group medians.