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. 2018 Aug 21;8:12524. doi: 10.1038/s41598-018-30831-w

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© The Author(s) 2018

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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Detailed alignment quality results regarding the effect of the number of node colors on alignment quality as a function of noise level for protein-GO, specifically protein-GO-APMS, networks using (a) WAVE and (b) SANA. The figure can be interpreted in the same way as Fig. 5. Recall that for these larger networks, we have not run MAGNA++ due to its high computational complexity. Equivalent results for the remaining protein-GO, specifically protein-GO-Y2H, networks are shown in Supplementary Figure S8.