Motivation Studying the role of the exposome in human health and its impact on different omic layers requires advanced statistical methods. Many of these methods are implemented in different R and Bioconductor packages, but their use may require strong expertise in R, in writing pipelines and in using new R classes which may not be familiar to non-advanced users. ExposomeShiny provides a bridge between researchers and most of the state-of-the-art exposome analysis methodologies, without the need of advanced programming skills. Implementation ExposomeShiny is a standalone web application implemented in R. It is available as source files and can be installed in any server or computer avoiding problems with data confidentiality. It is executed in RStudio which opens a browser window with the web application. General features The presented implementation allows the conduct of: (i) data pre-processing: normalization and missing imputation (including limit of detection); (ii) descriptive analysis; (iii) exposome principal component analysis (PCA) and hierarchical clustering; (iv) exposome-wide association studies (ExWAS) and variable selection ExWAS; (v) omic data integration by single association and multi-omic analyses; and (vi) post-exposome data analyses to gain biological insight for the exposures, genes or using the Comparative Toxicogenomics Database (CTD) and pathway analysis. Availability The exposomeShiny source code is freely available on Github at [https://github.com/isglobal-brge/exposomeShiny], Git tag v1.4. The software is also available as a Docker image [https://hub.docker.com/r/brgelab/exposome-shiny], tag v1.4. A user guide with information about the analysis methodologies as well as information on how to use exposomeShiny is freely hosted at [https://isglobal-brge.github.io/exposome_bookdown/].

中文翻译：

---

软件应用简介：exposomeShiny——一个用于暴露数据分析的工具箱

动机研究暴露组在人类健康中的作用及其对不同组学层的影响需要先进的统计方法。其中许多方法在不同的 R 和 Bioconductor 包中实现，但它们的使用可能需要强大的 R 专业知识、编写管道和使用非高级用户可能不熟悉的新 R 类。ExposomeShiny 在研究人员和大多数最先进的暴露分析方法之间架起了一座桥梁，无需高级编程技能。实施 ExposomeShiny 是在 R 中实施的独立 Web 应用程序。它可以作为源文件使用，并且可以安装在任何服务器或计算机上，避免数据机密性问题。它在 RStudio 中执行，它会打开一个带有 Web 应用程序的浏览器窗口。一般特征 所介绍的实现允许进行： (i) 数据预处理：标准化和缺失插补（包括检测限）；(ii) 描述性分析；(iii) 暴露组主成分分析 (PCA) 和层次聚类；(iv) 暴露组关联研究 (ExWAS) 和变量选择 ExWAS；(v) 通过单一关联和多组学分析整合组学数据；(vi) 暴露后数据分析，以获得暴露、基因的生物学见解，或使用比较毒物基因组学数据库 (CTD) 和通路分析。可用性 exposomeShiny 源代码可在 Github 上免费获得，网址为 [https://github.com/isglobal-brge/exposomeShiny]，Git tag v1.4。该软件还可以作为 Docker 镜像 [https://hub.docker.com/r/brgelab/exposome-shiny]，标签 v1.4 使用。