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PlotTwist: A web app for plotting and annotating continuous data.

Joachim Goedhart1

  • 1Swammerdam Institute for Life Sciences, Section of Molecular Cytology, van Leeuwenhoek Centre for Advanced Microscopy, University of Amsterdam, Amsterdam, the Netherlands.

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Summary
This summary is machine-generated.

PlotTwist is a free, open-source tool that simplifies scientific data visualization for continuous experimental data. This R/shiny web app requires no coding and offers advanced plotting and annotation features for reproducible results.

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Area of Science:

  • Scientific visualization
  • Data analysis
  • Experimental data handling

Background:

  • Experimental data is often continuous, requiring quantitative visualization.
  • Current visualization methods can be complex and require coding skills.
  • Effective data visualization is crucial for interpreting experimental results.

Purpose of the Study:

  • To develop an accessible, open-source tool for visualizing continuous experimental data.
  • To simplify the process of data normalization and plotting without coding.
  • To enhance reproducibility in scientific data visualization.

Main Methods:

  • Developed an R/shiny web application named PlotTwist.
  • The tool accepts wide and tidy data formats.
  • Offers data normalization, multiple plot types (lines, small multiples, heatmap), and annotation features.

Main Results:

  • PlotTwist provides a user-friendly interface for data visualization and annotation.
  • Supports various plotting styles, including mean with 95% confidence intervals.
  • Includes color-blind-friendly palettes and reproducible settings storage.

Conclusions:

  • PlotTwist effectively simplifies the visualization and annotation of continuous experimental data.
  • The tool empowers researchers without coding expertise to create publication-ready plots.
  • Enhances data interpretation and reproducibility in scientific research.