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BioVis Explorer: A visual guide for biological data visualization techniques.

Andreas Kerren1, Kostiantyn Kucher1, Yuan-Fang Li2

  • 1Department of Computer Science, Linnaeus University, Växjö, Sweden.

Plos One
|November 2, 2017
PubMed
Summary
This summary is machine-generated.

Keeping up with biological data visualization methods is hard. We reviewed research and built BioVis Explorer, an interactive tool to explore and add visualization techniques.

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Area of Science:

  • Biosciences
  • Computer Science
  • Information Visualization

Background:

  • The rapid growth of biological data necessitates advanced visualization techniques.
  • A proliferation of novel visualization methods and tools in Biosciences has made it challenging to maintain an overview.
  • Bridging the gap between biology and visualization research is crucial for scientific progress.

Purpose of the Study:

  • To address the challenge of tracking state-of-the-art visualization research in the Biosciences.
  • To develop an interactive, web-based system for exploring published biological data visualization methods.
  • To foster a community-driven platform for sharing and discovering visualization techniques.

Main Methods:

  • Comprehensive review of visualization research specifically targeting the Biosciences.
  • Development of an interactive, web-based tool named BioVis Explorer.
  • Implementation of features for faceted browsing and identifying associations between visualization methods.

Main Results:

  • Creation of BioVis Explorer, an accessible online tool for navigating biological data visualization research.
  • The tool facilitates intuitive exploration of visualization methods through interactive features.
  • A community-based system is established, enabling users to easily contribute their own work.

Conclusions:

  • BioVis Explorer provides a valuable resource for researchers seeking to understand the landscape of biological data visualization.
  • The interactive and community-driven nature of the tool promotes broader adoption and contribution.
  • Facilitating access to and understanding of visualization methods can accelerate innovation in the Biosciences.