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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
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cyjShiny: A cytoscape.js R Shiny Widget for network visualization and analysis.
Augustin Luna1,2, Omar Shah3, Chris Sander1,2
1Department of Systems Biology, Harvard Medical School, Boston, MA, United States of America.
Plos One
|August 16, 2023
Summary
cyjShiny is an open-source R package for network visualization. It enables embedding interactive network graphs into Shiny apps and R Markdown documents using cytoscape.js.
Area of Science:
- Bioinformatics
- Data Visualization
- Software Development
Background:
- Network visualization is crucial for understanding complex biological data.
- Integrating interactive network visualizations into web applications can enhance data exploration.
- Existing tools may lack seamless integration with R environments.
Purpose of the Study:
- To introduce cyjShiny, an R package for embedding network visualizations.
- To facilitate the integration of cytoscape.js-based network graphs into Shiny apps and R Markdown documents.
- To provide utility functions for data format conversion.
Main Methods:
- cyjShiny leverages the cytoscape.js JavaScript graph library.
- The package offers helper functions to transform R data structures (e.g., data.frames) into cytoscape.js-compatible formats.
- It is designed for use within the R ecosystem, specifically with Shiny and R Markdown.
Main Results:
- cyjShiny successfully embeds interactive network visualizations.
- The package simplifies the process of converting R data for network plotting.
- Users can create dynamic network representations within R-based web applications.
Conclusions:
- cyjShiny enhances the capabilities of R for network data visualization.
- The package promotes the development of interactive bioinformatics tools.
- It offers a user-friendly solution for integrating network analysis into R workflows.
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