Methylation plotter allows to generate publication-ready, high quality graphics summarizing methylation data in lollipop- and heatmap-like plots. Some descriptive stats and comparisons are provided.

Please cite our paper Methylation plotter: a web tool for dynamic visualization of DNA methylation data *Source Code for Biology and Medicine* 2014, **9**:11.

Further information, including example datasets, is available at the documentation webpage.

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Each line represents for each group of samples the methylation mean for each position. Asterisks indicate a statistical significance as calculated by the Kruskal-Wallis test.
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A dendrogram showing the unsupervised clustering of the data. The groups provided by the user are highlighted with different colors.
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Boxplot for each group of samples.
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Summary table with the mean, the standard deviation, the minimum, the maximum and the number of missing data for each sample.

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Descriptive analysis

Summary table with the mean, the standard deviation, the minimum, the maximum and the number of missing data for each position and group of samples. If the samples are categorized in two or more groups, it also shows the p value of the Kruskal-Wallis test. This test is the non-parametric version of the ANOVA (one-way analysis of variance) and tests whether samples originate from the same distribution. If the test is statistically significant (p value less than 0.05) it means that at least one of the samples is different from the other samples.

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