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. 2020 Oct 13;21:452. doi: 10.1186/s12859-020-03759-0

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© The Author(s) 2020

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Predicted ProNA-binding interface SAVs differed between human tissues. The sketches capture to which extent SAVs at residues predicted in the interfaces of protein-binding (left column), DNA-binding (middle column), or RNA-binding (right column) were over-represented in particular human tissue types (taken from HPA, the Human Protein Atlas [24]). Top row: common SAVs (> 5% of population); bottom row: rare SAVs (< 1% of population; note non-extremes between 1 and 5% were ignored). The values in each tissue were calculated as: (PERC_tissue-PERC_overall)/PERC_overall (Methods). Values around 0 (white) represented observations as expected by chance, values < 0 (yellow) indicated under-representation, and values > 0 (red) over-representation. For instance, common SAVs predicted in DNA-binding interfaces were under-represented in lung tissue, but over-represented in the skin