title: Methylation plotter: a web tool for dynamic visualization of DNA methylation data.
abstract: Methylation plotter is a Web tool that allows the visualization of methylation data in a user-friendly manner and with publication-ready quality. The user is asked to introduce a file containing the methylation status of a genomic region. This file can contain up to 100 samples and 100 CpGs. Optionally, the user can assign a group for each sample (i.e. whether a sample is a tumoral or normal tissue). After the data upload, the tool produces different graphical representations of the results following the most commonly used styles to display this type of data. They include an interactive plot that summarizes the status of every CpG site and for every sample in lollipop or grid styles. Methylation values ranging from 0 (unmethylated) to 1 (fully methylated) are represented using a gray color gradient. A practical feature of the tool allows the user to choose from different types of arrangement of the samples in the display: for instance, sorting by overall methylation level, by group, by unsupervised clustering or just following the order in which data were entered. In addition to the detailed plot, Methylation plotter produces a methylation profile plot that summarizes the status of the scrutinized region, a boxplot that sums up the differences between groups (if any) and a dendrogram that classifies the data by unsupervised clustering. Coupled with this analysis, descriptive statistics and testing for differences at both CpG and group levels are provided. The implementation is based in R/shiny, providing a highly dynamic user interface that generates quality graphics without the need of writing R code. Methylation plotter is freely available at http://gattaca.imppc.org:3838/methylation_plotter/.
authors.affiliation: Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Ctra. de Can Ruti, camí de les escoles, s/n, 08916 Badalona, Spain ; Health Research Institute Germans Trias i Pujol (IGTP), Ctra. de Can Ruti, camí de les escoles, s/n, 08916 Badalona, Spain.
authors.forename: Izaskun
authors.initials: I
authors.lastname: Mallona
authors.affiliation: Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Ctra. de Can Ruti, camí de les escoles, s/n, 08916 Badalona, Spain ; Health Research Institute Germans Trias i Pujol (IGTP), Ctra. de Can Ruti, camí de les escoles, s/n, 08916 Badalona, Spain.
authors.forename: Anna
authors.initials: A
authors.lastname: Díez-Villanueva
authors.affiliation: Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Ctra. de Can Ruti, camí de les escoles, s/n, 08916 Badalona, Spain ; Health Research Institute Germans Trias i Pujol (IGTP), Ctra. de Can Ruti, camí de les escoles, s/n, 08916 Badalona, Spain.
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Peinado
keywords: Lollipop plot; Methylation plot; Methylation visualization; R/shiny