Bioinformatics service, Nucleus, University of Salamanca, C/ Espejo 2, 37007, Salamanca, Spain.
Mol Inform. 2018 Mar;37(3). doi: 10.1002/minf.201700090. Epub 2017 Oct 5.
Data visualization techniques provide new methods for the generation of interactive graphs. These graphs allow a better exploration and interpretation of data but their creation requires advanced knowledge of graphical libraries. Recent packages have enabled the integration of interactive graphs in R. However, R provides limited graphical packages that allow the generation of interactive graphs for computational biology applications. The present project has joined the analytical power of R with the interactive graphical features of JavaScript in a new R package (RJSplot). It enables the easy generation of interactive graphs in R, provides new visualization capabilities, and contributes to the advance of computational biology analytical methods. At present, 16 interactive graphics are available in RJSplot, such as the genome viewer, Manhattan plots, 3D plots, heatmaps, dendrograms, networks, and so on. The RJSplot package is freely available online at http://rjsplot.net.
数据可视化技术为交互式图形的生成提供了新方法。这些图形允许更好地探索和解释数据，但它们的创建需要对图形库有高级的了解。最近的软件包已经实现了在 R 中集成交互式图形。然而，R 提供的图形包有限，这些包允许为计算生物学应用生成交互式图形。本项目将 R 的分析功能与 JavaScript 的交互式图形功能结合到一个新的 R 包（RJSplot）中。它能够在 R 中轻松生成交互式图形，提供新的可视化功能，并有助于推进计算生物学分析方法。目前，RJSplot 中有 16 种交互式图形，如基因组浏览器、曼哈顿图、3D 图、热图、树状图、网络图等。RJSplot 包可在 http://rjsplot.net 上免费获得。
