The SMART App: an interactive web application for comprehensive DNA methylation analysis and visualization

Приложение SMART: интерактивное веб-приложение для комплексного анализа и визуализации метилирования ДНК
Yin Li, Di Ge, Chunlai Lu
2019-12-01

DNA methylation analysisThe Cancer Genome Atlasdifferential methylation analysismulti-omics integrationsurvival analysis
BACKGROUND: Data mining of The Cancer Genome Atlas (TCGA) data has significantly facilitated cancer genome research and provided unprecedented opportunities for cancer researchers. However, existing web applications for DNA methylation analysis does not adequately address the need of experimental biologists, and many additional functions are often required. RESULTS: To facilitate DNA methylation analysis, we present the SMART (Shiny Methylation Analysis Resource Tool) App, a user-friendly and easy-to-use web application for comprehensively analyzing the DNA methylation data of TCGA project. The SMART App integrates multi-omics and clinical data with DNA methylation and provides key interactive and customized functions including CpG visualization, pan-cancer methylation profile, differential methylation analysis, correlation analysis and survival analysis for users to analyze the DNA methylation in diverse cancer types in a multi-dimensional manner. CONCLUSION: The SMART App serves as a new approach for users, especially wet-bench scientists with no programming background, to analyze the scientific big data and facilitate data mining. The SMART App is available at http://www.bioinfo-zs.com/smartapp.
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Interactive functions include CpG visualization, pan-cancer methylation profiling, differential methylation, correlation, and survival analyses.
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It integrates DNA methylation with multi-omics and clinical data, enabling multidimensional analysis across diverse cancer types.
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SMART is accessible online at http://www.bioinfo-zs.com/smartapp.
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The SMART App is a user-friendly web application designed for comprehensive DNA methylation analysis of TCGA cancer data.
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The application provides customizable, programming-free tools intended to support wet-lab scientists in cancer data mining.

TCGA DNA methylation data across diverse cancer types, integrated with multi-omics and clinical data

Multidimensional DNA methylation profiles, including CpG patterns, differential methylation, correlations, and survival associations

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2019-12-01
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Authors
Yin Li
Di Ge
Chunlai Lu
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