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Methylation plotter: a web tool for dynamic visualization of DNA methylation data

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. Optiona...

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Autores principales: Mallona, Izaskun, Díez-Villanueva, Anna, Peinado, Miguel A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066318/
https://www.ncbi.nlm.nih.gov/pubmed/25260021
http://dx.doi.org/10.1186/1751-0473-9-11
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author Mallona, Izaskun
Díez-Villanueva, Anna
Peinado, Miguel A
author_facet Mallona, Izaskun
Díez-Villanueva, Anna
Peinado, Miguel A
author_sort Mallona, Izaskun
collection PubMed
description 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/.
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spelling pubmed-40663182014-06-24 Methylation plotter: a web tool for dynamic visualization of DNA methylation data Mallona, Izaskun Díez-Villanueva, Anna Peinado, Miguel A Source Code Biol Med Software Review 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/. BioMed Central 2014-06-07 /pmc/articles/PMC4066318/ /pubmed/25260021 http://dx.doi.org/10.1186/1751-0473-9-11 Text en Copyright © 2014 Mallona et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software Review
Mallona, Izaskun
Díez-Villanueva, Anna
Peinado, Miguel A
Methylation plotter: a web tool for dynamic visualization of DNA methylation data
title Methylation plotter: a web tool for dynamic visualization of DNA methylation data
title_full Methylation plotter: a web tool for dynamic visualization of DNA methylation data
title_fullStr Methylation plotter: a web tool for dynamic visualization of DNA methylation data
title_full_unstemmed Methylation plotter: a web tool for dynamic visualization of DNA methylation data
title_short Methylation plotter: a web tool for dynamic visualization of DNA methylation data
title_sort methylation plotter: a web tool for dynamic visualization of dna methylation data
topic Software Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066318/
https://www.ncbi.nlm.nih.gov/pubmed/25260021
http://dx.doi.org/10.1186/1751-0473-9-11
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