EpigenPlot is a web tool for the efficient exploration of colorectal adenocarcinoma methylation data utilizing 2,346 tumor and normal samples.



Please cite kindly cite our paper to support further development: Müller, D., & Győrffy, B. (2022). DNA methylation-based diagnostic, prognostic, and predictive biomarkers in colorectal cancer., Biochimica et Biophysica Acta (BBA)-Reviews on Cancer, 1877(3), 188722.

Copyright ©: Department of Bioinformatics, Semmelweis University 2021-2024

Check our other webtools: https://tnmplot.com ; http://www.kmplot.com ; http://www.rocplot.com ;


          

Choose a gene and a region and push the "Create plots" button in order to visualize methylation changes. The first plot includes a boxplot comparing β values of different tissue types, while the second one the difference between normal and adenocarcinoma values by percentiles.



Choose a gene to visualize all methylatable sites in a lollipop plot. Use the slide to narrow down the analyzed chromosome section. Use the cursor to select („+” symbol) sites. Information of the selected site(s) will appear(s) in the table.



Choose a region and a KEGG pathway and push the "Create plots" button in order to visualize the difference between β value means of the genes associated with the selected KEGG pathway (human only). On the created comet plot, the end of the comet tail represents the mean of β values in normal, while the head represents the mean of β values in adenocarcinoma tissues. If there are more than 20 genes associated to the pathway, only the first N (default N = 20) with the most significant difference will be included in the plot. Difference in case of all genes will be shown in the table.



Choose a region and cancer hallmark and push the "Create plots" button in order to visualize the difference between β value means of the genes associated with the selected cancer hallmark (Menyhárt et al., BBA Reviews on Cancer, 2016). On the created comet plot, the end of the comet tail represents the mean of β values in normal, while the head represents the mean of β values in adenocarcinoma tissues. If there are more than 20 genes associated to the hallmark, only the first N (default N = 20) with the most significant difference will be included in the plot. Difference in case of all genes will be shown in the table.