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. 2022 Nov 1;51(D1):D208–D216. doi: 10.1093/nar/gkac969

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© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 3. — The Knowledge modules of MethBank 4.0. (A) Proportions of context curation publications as defined in the two levels accounting figure, covering 11 biological contexts and 77 tissues/cell lines. (B) Network diagram of diseases, where the red nodes represent diseases and the grey nodes represent relevant DMGs in the Featured DMGs module. Fifty-nine genes associated with prostate cancer are shown in the example. (C) Network diagram of genes, the example shows two diseases associated with gene AR, prostate cancer and polycystic syndrome. (D) Forty-two of the 59 manually curated genes associated with prostate cancer are overlapped with DMGs obtained from the analysis in the Data module. These 42 genes were significantly enriched in prostate cancer-related pathways as shown in Figure (E). (F) Screenshot of the web page in the Featured DMGs module. (G) Screenshot of the web page in the Tool Collection module, taking Bismark as an example.