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CpGene: A Web Application for Epigenetic Signature Identification from DNA Methylation Arrays

Title: CpGene: A Web Application for Epigenetic Signature Identification from DNA Methylation Arrays
Authors: Lazaros, Konstantinos; Logotheti, Souzana; Logothetis, Christopher; Tzelepi, Vasiliki; Vlamos, Panagiotis; Vrahatis, Aristidis G
Contributors: Cheng, Jianlin
Source: Bioinformatics ; ISSN 1367-4811
Publisher Information: Oxford University Press (OUP)
Publication Year: 2026
Description: Motivation DNA methylation (DNAme) is the best studied epigenetic mechanism that plays pivotal role in tissue differentiation and epigenetic disruption has been correlated to diverse disease types (e.g. cancer, metabolic disorders). While various DNAme array platforms have been discovered, data analysis remains a challenging task which often requires in-depth bioinformatic expertise. Here, we developed a user-friendly web-based application for data analysis and visualization that accommodates users ranging from early-career basic/translational researchers to experienced bioinformaticians. Results CpGene is a web application for analyzing DNA methylation array data. It supports Illumina 450K, EPIC, and EPICv2 methylation array platforms and processes .idat files with integrated preprocessing, normalization, and quality control. Biomarker discovery is available through either classic differential methylation point analysis or machine learning–based feature selection as well as gene enrichment analysis. Results are summarized with clear visualizations, to aid interpretation. By combining these functions in a unified interface, CpGene streamlines methylation analysis and helps identify CpG sites and genes with biological and clinical relevance. Availability and Implementation CpGene is openly accessible as a web service through http://cpgene.duckdns.org : 8001/ and it’s source code is available on https://github.com/kostaslazaros/cpgenene. Supplementary information Supplementary data are available at Journal Name online.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1093/bioinformatics/btag141
DOI: 10.1093/bioinformatics/btag141/67510735/btag141.pdf
Availability: https://doi.org/10.1093/bioinformatics/btag141; https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btag141/67510735/btag141.pdf
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.2C5E8DB9
Database: BASE