Interactive Plotting with ggplot and Shiny: Enhancing Galaxy Visualization Tools

Slide Note
Embed
Share

Explore the concept of transforming existing ggplot2 Galaxy tools into interactive platforms using Shiny or Plotly implementations. Discover a variety of plot types available with ggplot2, such as barplots, violin plots, PCA plots, and heatmaps. Utilize additional plot options through various geom_* functions for enhanced visualization capabilities. Enhance existing Galaxy apps with interactive features to create a more dynamic and user-friendly data visualization environment. Experiment with RStudio demos and outlooks for potential future integrations with Plotly and Shiny apps in Galaxy for more useful and robust plotting options.


Uploaded on Aug 01, 2024 | 2 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

E N D

Presentation Transcript


  1. Interactive plotting with ggplot and shiny in Galaxy by Jochen Bick

  2. The idea change existing ggplot2 galaxy tools and make them interactive use shiny and/or plotly for the implementation add more plots available with ggplot2 barplot violine PCA heatmap ...

  3. more plot types there are many more options for plots with geom_* available. not all of them are frequently used http://sape.inf.usi.ch/quick-reference/ggplot2/geom

  4. Existing ggplot2 Galaxy apps

  5. Existing ggplot2 Galaxy apps

  6. Existing ggplot2 Galaxy apps

  7. Existing ggplot2 Galaxy apps

  8. DEMO with RStudio adapted from: https://github.com/JoachimGoedhart/PlotsOfData

  9. Outlook use features from plot.ly connect shiny app with Galaxy add more plot option to provide useful plots https://plot.ly/

Related


More Related Content