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RJSplot: Interactive Graphs with R.

David Barrios1, Carlos Prieto1

  • 1Bioinformatics service, Nucleus, University of Salamanca, C/ Espejo 2, 37007, Salamanca, Spain.

Molecular Informatics
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PubMed
Summary
This summary is machine-generated.

This study introduces RJSplot, an R package simplifying interactive graph creation for computational biology. It integrates R and JavaScript, offering 16 visualization types for enhanced data exploration.

Keywords:
Bioinformatics analysisD3Data visualizationR

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Area of Science:

  • Computational Biology
  • Data Visualization
  • Bioinformatics

Background:

  • Interactive graphs enhance data exploration and interpretation.
  • Creating interactive graphs typically requires advanced programming skills.
  • Existing R packages have limitations for interactive graph generation in computational biology.

Purpose of the Study:

  • To develop an R package that simplifies the creation of interactive graphs for computational biology.
  • To bridge the gap between R's analytical capabilities and JavaScript's interactive visualization features.
  • To introduce novel visualization methods for computational biology data.

Main Methods:

  • Developed a new R package named RJSplot.
  • Integrated R's analytical power with JavaScript's interactive graphical features.
  • Implemented 16 types of interactive graphics within the RJSplot package.

Main Results:

  • RJSplot enables easy generation of interactive graphs in R.
  • The package offers new visualization capabilities, including genome viewers, Manhattan plots, 3D plots, heatmaps, dendrograms, and networks.
  • Facilitates advanced data analysis and interpretation in computational biology.

Conclusions:

  • RJSplot advances computational biology analytical methods by providing accessible interactive visualization tools.
  • The package democratizes the creation of complex interactive graphs for researchers.
  • RJSplot is freely available, promoting wider adoption and contribution to the field.