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i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data
Genomics, Proteomics & Bioinformatics ( IF 9.5 ) Pub Date : 2021-07-17 , DOI: 10.1016/j.gpb.2021.01.007
Arsenij Ustjanzew 1 , Jens Preussner 1 , Mette Bentsen 1 , Carsten Kuenne 1 , Mario Looso 1
Affiliation  

Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation, and display of such visualizations. However, the combination of automated data processing pipelines handling omics data and dynamically generated, interactive dashboards is poorly solved. Here, we present i2dash, an R package intended to encapsulate functionality for the programmatic creation of customized dashboards. It supports interactive and responsive (linked) visualizations across a set of predefined graphical layouts. i2dash addresses the needs of data analysts/software developers for a tool that is compatible and attachable to any R-based analysis pipeline, thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand. In addition, the generic design of i2dash enables the development of modular extensions for specific needs. As a proof of principle, we provide an extension of i2dash optimized for single-cell RNA sequencing analysis, supporting the creation of dashboards for the visualization needs of such experiments. Equipped with these features, i2dash is suitable for extensive use in large-scale sequencing/bioinformatics facilities. Along this line, we provide i2dash as a containerized solution, enabling a straightforward large-scale deployment and sharing of dashboards using cloud services. i2dash is freely available via the R package archive CRAN (https://CRAN.R-project.org/package=i2dash).



中文翻译:

i2dash:为组学数据可视化创建灵活、交互式和基于 Web 的仪表板

数据可视化和交互式数据探索是阐明复杂概念和组学数据分析结果的重要方面。合适的可视化必须直观且易于访问。基于 Web 的仪表板已成为用于排列、合并和显示此类可视化的流行工具。然而,处理组学数据的自动化数据处理管道和动态生成的交互式仪表板的组合解决得不好。在这里,我们介绍了 i2dash,这是一个 R 包,旨在封装以编程方式创建自定义仪表板的功能。它支持跨一组预定义图形布局的交互式和响应式(链接)可视化。i2dash 满足了数据分析师/软件开发人员对兼容并可附加到任何基于 R 的分析管道的工具的需求,从而一方面促进了数据可视化与数据分析的分离另一方面任务。此外,i2dash 的通用设计支持针对特定需求开发模块化扩展。作为原理证明,我们提供了针对单细胞 RNA 测序分析优化的 i2dash 扩展,支持创建仪表板以满足此类实验的可视化需求。配备这些功能,i2dash 适用于大规模测序/生物信息学设施的广泛使用。沿着这条线,我们提供 i2dash 作为容器化解决方案,使用云服务实现直接的大规模部署和仪表板共享。i2dash 可通过 R 包存档 CRAN (https://CRAN.R-project.org/package=i2dash) 免费获得。

更新日期:2021-07-17
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