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SmartR: an open-source platform for interactive visual analytics for translational research data.

Sascha Herzinger1, Wei Gu1, Venkata Satagopam1

  • 1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch/Belval, Luxembourg.

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Summary
This summary is machine-generated.

SmartR enhances the tranSMART data warehouse with dynamic visualizations for translational research. This plugin improves data accessibility and accelerates scientific discovery by enabling easier hypothesis generation.

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Area of Science:

  • Bioinformatics
  • Translational Research
  • Data Science

Background:

  • Efficient knowledge exchange is crucial in translational research.
  • Existing platforms like tranSMART store diverse data but lack dynamic analytics.
  • This limits post-processing interaction and exploration.

Purpose of the Study:

  • To develop an interactive visualization plugin for the tranSMART data warehouse.
  • To enhance data accessibility and accelerate hypothesis generation in translational research.

Main Methods:

  • Developed SmartR, a plugin for tranSMART.
  • Integrated modern web technologies like D3.js and AngularJS.
  • Created dynamic visual analytical workflows and a framework for custom workflows.

Main Results:

  • SmartR equips tranSMART with dynamic visual analytics.
  • The plugin allows for post-processing interaction and exploration of data.
  • Standard visualizations were enhanced with dynamic elements.

Conclusions:

  • SmartR significantly accelerates scientific progress by improving data accessibility and hypothesis generation.
  • The plugin offers a flexible framework for adding new analytical workflows.
  • This enhances the utility of the tranSMART platform for researchers.