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. 2021 Jul 23;11:15062. doi: 10.1038/s41598-021-94343-w

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© The Author(s) 2021

Open AccessThis 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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Log2 fold change values according to the different DEG detection methods for a subset of genes from the (A) PMM2-CDG and (B) Lafora disease datasets. Genes chosen based on the variance of estimated log2 fold change values across all three methods ( $\geq 0.01$ ). Genes ordered along the x-axis by decreasing variance. The Lafora disease dataset showed relatively few genes with significant variance in terms of logFC.