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. 2017 May 8;7:1559. doi: 10.1038/s41598-017-01617-3

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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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Each workflow (or workflow group) has specific non-concordant genes, which are reproducible identified in independent datasets. (A) Venn diagrams showing the overlap between the non-concordant genes with ∆FC < 2, non-concordant genes with ∆FC > 2 and non-concordant genes with opposite direction. (B) Examples of workflow-specific non-concordant genes. (C) Overlap of the non concordant genes with a ∆FC > 2 between two independent datasets. The p-values (Fisher Exact test) represent the significance of the overlap.