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. 2024 Dec 18;6(4):lqae181. doi: 10.1093/nargab/lqae181

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© The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

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Figure 4. — Validation of the use of a normalization sample against WGBS data. Beta values from all sample sheet rankings (R1–R10 including 12 samples) normalized with Illumina-like normalization process and generated with the 450k array were compared with beta values received from WGBS of the cryo-preserved sample. (A) Density plots showing beta values normalized without (upper left panel) and with (upper right panel) the use of a normalization sample compared to WGBS data from the same sample and CpGs. Results are depicted for the sample S1. Absolute difference between matched CpGs on the 450k array and WGBS data was calculated for each sample sheet ranking normalized without (lower left panel) and with (lower right panel) the use of a normalization sample. (B) Mean was calculated summarizing the absolute difference for each sample within each sample sheet ranking from 450k array compared to the WGBS data (only cryo-preserved samples).