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MADA: a web service for analysing DNA methylation array data
BACKGROUND: DNA methylation in the human genome is acknowledged to be widely associated with biological processes and complex diseases. The Illumina Infinium methylation arrays have been approved as one of the most efficient and universal technologies to investigate the whole genome changes of methy...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672854/ https://www.ncbi.nlm.nih.gov/pubmed/33203349 http://dx.doi.org/10.1186/s12859-020-03734-9 |
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author | Hu, Xinyu Tang, Li Wang, Linconghua Wu, Fang-Xiang Li, Min |
author_facet | Hu, Xinyu Tang, Li Wang, Linconghua Wu, Fang-Xiang Li, Min |
author_sort | Hu, Xinyu |
collection | PubMed |
description | BACKGROUND: DNA methylation in the human genome is acknowledged to be widely associated with biological processes and complex diseases. The Illumina Infinium methylation arrays have been approved as one of the most efficient and universal technologies to investigate the whole genome changes of methylation patterns. As methylation arrays may still be the dominant method for detecting methylation in the anticipated future, it is crucial to develop a reliable workflow to analysis methylation array data. RESULTS: In this study, we develop a web service MADA for the whole process of methylation arrays data analysis, which includes the steps of a comprehensive differential methylation analysis pipeline: pre-processing (data loading, quality control, data filtering, and normalization), batch effect correction, differential methylation analysis, and downstream analysis. In addition, we provide the visualization of pre-processing, differentially methylated probes or regions, gene ontology, pathway and cluster analysis results. Moreover, a customization function for users to define their own workflow is also provided in MADA. CONCLUSIONS: With the analysis of two case studies, we have shown that MADA can complete the whole procedure of methylation array data analysis. MADA provides a graphical user interface and enables users with no computational skills and limited bioinformatics background to carry on complicated methylation array data analysis. The web server is available at: http://120.24.94.89:8080/MADA |
format | Online Article Text |
id | pubmed-7672854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76728542020-11-19 MADA: a web service for analysing DNA methylation array data Hu, Xinyu Tang, Li Wang, Linconghua Wu, Fang-Xiang Li, Min BMC Bioinformatics Software BACKGROUND: DNA methylation in the human genome is acknowledged to be widely associated with biological processes and complex diseases. The Illumina Infinium methylation arrays have been approved as one of the most efficient and universal technologies to investigate the whole genome changes of methylation patterns. As methylation arrays may still be the dominant method for detecting methylation in the anticipated future, it is crucial to develop a reliable workflow to analysis methylation array data. RESULTS: In this study, we develop a web service MADA for the whole process of methylation arrays data analysis, which includes the steps of a comprehensive differential methylation analysis pipeline: pre-processing (data loading, quality control, data filtering, and normalization), batch effect correction, differential methylation analysis, and downstream analysis. In addition, we provide the visualization of pre-processing, differentially methylated probes or regions, gene ontology, pathway and cluster analysis results. Moreover, a customization function for users to define their own workflow is also provided in MADA. CONCLUSIONS: With the analysis of two case studies, we have shown that MADA can complete the whole procedure of methylation array data analysis. MADA provides a graphical user interface and enables users with no computational skills and limited bioinformatics background to carry on complicated methylation array data analysis. The web server is available at: http://120.24.94.89:8080/MADA BioMed Central 2020-11-18 /pmc/articles/PMC7672854/ /pubmed/33203349 http://dx.doi.org/10.1186/s12859-020-03734-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Software Hu, Xinyu Tang, Li Wang, Linconghua Wu, Fang-Xiang Li, Min MADA: a web service for analysing DNA methylation array data |
title | MADA: a web service for analysing DNA methylation array data |
title_full | MADA: a web service for analysing DNA methylation array data |
title_fullStr | MADA: a web service for analysing DNA methylation array data |
title_full_unstemmed | MADA: a web service for analysing DNA methylation array data |
title_short | MADA: a web service for analysing DNA methylation array data |
title_sort | mada: a web service for analysing dna methylation array data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672854/ https://www.ncbi.nlm.nih.gov/pubmed/33203349 http://dx.doi.org/10.1186/s12859-020-03734-9 |
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