PlotTwist: A web app for plotting and annotating continuous data
PlotTwist: A web app for plotting and annotating continuous data
复制标题
DOI：
10.1371/journal.pbio.3000581
复制
发表时间：
2020-01-01
期刊：
影响因子：
9.8
通讯作者：
Goedhart, Joachim
中科院分区：
文献类型：
--
作者：
Goedhart, Joachim
实验数据可以大致分为离散或连续数据。从作为另一个定量变量的函数执行的测量获得连续数据，例如，时间、长度、浓度或波长。这些类型的实验结果通常用于生成在连续定量尺度上可视化测量变量的图。为了简化最先进的数据可视化和对这些实验数据的注释，我们使用R/shiny创建了一个开源工具，不需要编码技能就可以操作它。免费提供的Web应用程序接受广泛（电子表格）和整洁的数据，并提供一系列选项来规范化数据。来自单个对象的数据可以以3种不同的方式显示：（1）具有独特颜色的线条，（2）小倍数，以及（3）热图风格的显示。在此旁边，可以显示平均值，置信区间为95%，用于不同条件的视觉比较。几个色盲友好的调色板可用于标记数据和/或统计数据。这些图可以用图形特征和/或文本进行注释，以指示任何相关的扰动。所有用户定义的设置都可以存储，以实现数据可视化的再现性。该应用程序被称为PlotTwist，可在本地或在线运行：
Experimental data can broadly be divided in discrete or continuous data. Continuous data are obtained from measurements that are performed as a function of another quantitative variable, e.g., time, length, concentration, or wavelength. The results from these types of experiments are often used to generate plots that visualize the measured variable on a continuous, quantitative scale. To simplify state-of-the-art data visualization and annotation of data from such experiments, an open-source tool was created with R/shiny that does not require coding skills to operate it. The freely available web app accepts wide (spreadsheet) and tidy data and offers a range of options to normalize the data. The data from individual objects can be shown in 3 different ways: (1) lines with unique colors, (2) small multiples, and (3) heatmap-style display. Next to this, the mean can be displayed with a 95% confidence interval for the visual comparison of different conditions. Several color-blind-friendly palettes are available to label the data and/or statistics. The plots can be annotated with graphical features and/or text to indicate any perturbations that are relevant. All user-defined settings can be stored for reproducibility of the data visualization. The app is dubbed PlotTwist and runs locally or online: