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SMART 应用程序:用于全面 DNA 甲基化分析和可视化的交互式网络应用程序。

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

机构信息

Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China.

出版信息

Epigenetics Chromatin. 2019 Dec 5;12(1):71. doi: 10.1186/s13072-019-0316-3.


DOI:10.1186/s13072-019-0316-3
PMID:31805986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6894252/
Abstract

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.

摘要

背景:TCGA 数据的挖掘在癌症基因组研究中起到了显著的推动作用,为癌症研究人员提供了前所未有的机会。然而,现有的 DNA 甲基化分析的网络应用并不能完全满足实验生物学家的需求,通常还需要许多额外的功能。

结果:为了方便 DNA 甲基化分析,我们提出了 SMART(Shiny Methylation Analysis Resource Tool)应用程序,这是一个用户友好且易于使用的网络应用程序,可全面分析 TCGA 项目的 DNA 甲基化数据。SMART App 集成了多组学和临床数据与 DNA 甲基化,并提供了关键的交互式和定制功能,包括 CpG 可视化、泛癌甲基化谱、差异甲基化分析、相关分析和生存分析,使用户能够以多维方式分析不同癌症类型的 DNA 甲基化。

结论:SMART App 为用户提供了一种新的方法,特别是没有编程背景的湿实验科学家,使其能够分析科学大数据并促进数据挖掘。SMART App 可在 http://www.bioinfo-zs.com/smartapp 上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/b76c7edd73f6/13072_2019_316_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/1ef2a69d5677/13072_2019_316_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/5d5a7f45887a/13072_2019_316_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/f4ffc73045e3/13072_2019_316_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/b76c7edd73f6/13072_2019_316_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/1ef2a69d5677/13072_2019_316_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/5d5a7f45887a/13072_2019_316_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/f4ffc73045e3/13072_2019_316_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7004/6894252/b76c7edd73f6/13072_2019_316_Fig4_HTML.jpg

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