PlotTwist: A web app for plotting and annotating continuous data

Joachim Goedhart

PLOS Biology, 2020, vol. 18, issue 1, 1-10

Abstract: 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: https://huygens.science.uva.nl/PlotTwistThis Community Page article describes PlotTwist, an open source app created with R/shiny to simplify state-of-the-art visualization and annotation of results from experiments that generate continuous data; the app runs locally or online, and no coding skills are needed to use it.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:3000581

DOI: 10.1371/journal.pbio.3000581

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