Cargando…

methylR: a graphical interface for comprehensive DNA methylation array data analysis

MOTIVATION: DNA methylation analysis using arrays is a widely used method in research and clinical studies to study Epigenetics. Although several packages have been published to incur the results, most of them require a deep computational knowledge to perform the analysis. To resolve the limitation...

Descripción completa

Detalles Bibliográficos
Autores principales: Volpe, Massimiliano, Das, Jyotirmoy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125902/
https://www.ncbi.nlm.nih.gov/pubmed/37039839
http://dx.doi.org/10.1093/bioinformatics/btad184
_version_ 1785030120844558336
author Volpe, Massimiliano
Das, Jyotirmoy
author_facet Volpe, Massimiliano
Das, Jyotirmoy
author_sort Volpe, Massimiliano
collection PubMed
description MOTIVATION: DNA methylation analysis using arrays is a widely used method in research and clinical studies to study Epigenetics. Although several packages have been published to incur the results, most of them require a deep computational knowledge to perform the analysis. To resolve the limitation and to offer an easily accessible solution for researchers, we developed methylR a graphical tool that can analyze not only the raw data but also performs different downstream analyses with a few mouse clicks. RESULTS: We used standard and established open-source published packages or pipelines in methylR. We evaluated a publicly available dataset and compared the published results with those obtained with our tool. We implemented eight downstream analysis modules that can perform multidimensional analyses to pathway enrichment. Although the main application is designed for Illumina DNA methylation array data analysis, we made the accessory modules suitable for other kinds of data analysis as well. AVAILABILITY AND IMPLEMENTATION: Freely available at Github: https://github.com/JD2112/methylr; Webserver: https://methylr.research.liu.se.
format Online
Article
Text
id pubmed-10125902
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-101259022023-04-26 methylR: a graphical interface for comprehensive DNA methylation array data analysis Volpe, Massimiliano Das, Jyotirmoy Bioinformatics Applications Note MOTIVATION: DNA methylation analysis using arrays is a widely used method in research and clinical studies to study Epigenetics. Although several packages have been published to incur the results, most of them require a deep computational knowledge to perform the analysis. To resolve the limitation and to offer an easily accessible solution for researchers, we developed methylR a graphical tool that can analyze not only the raw data but also performs different downstream analyses with a few mouse clicks. RESULTS: We used standard and established open-source published packages or pipelines in methylR. We evaluated a publicly available dataset and compared the published results with those obtained with our tool. We implemented eight downstream analysis modules that can perform multidimensional analyses to pathway enrichment. Although the main application is designed for Illumina DNA methylation array data analysis, we made the accessory modules suitable for other kinds of data analysis as well. AVAILABILITY AND IMPLEMENTATION: Freely available at Github: https://github.com/JD2112/methylr; Webserver: https://methylr.research.liu.se. Oxford University Press 2023-04-11 /pmc/articles/PMC10125902/ /pubmed/37039839 http://dx.doi.org/10.1093/bioinformatics/btad184 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Applications Note
Volpe, Massimiliano
Das, Jyotirmoy
methylR: a graphical interface for comprehensive DNA methylation array data analysis
title methylR: a graphical interface for comprehensive DNA methylation array data analysis
title_full methylR: a graphical interface for comprehensive DNA methylation array data analysis
title_fullStr methylR: a graphical interface for comprehensive DNA methylation array data analysis
title_full_unstemmed methylR: a graphical interface for comprehensive DNA methylation array data analysis
title_short methylR: a graphical interface for comprehensive DNA methylation array data analysis
title_sort methylr: a graphical interface for comprehensive dna methylation array data analysis
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125902/
https://www.ncbi.nlm.nih.gov/pubmed/37039839
http://dx.doi.org/10.1093/bioinformatics/btad184
work_keys_str_mv AT volpemassimiliano methylragraphicalinterfaceforcomprehensivednamethylationarraydataanalysis
AT dasjyotirmoy methylragraphicalinterfaceforcomprehensivednamethylationarraydataanalysis