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igv.js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV).

James T Robinson1, Helga Thorvaldsdottir2, Douglass Turner1

  • 1Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA.

Bioinformatics (Oxford, England)
|December 23, 2022
PubMed
Summary
This summary is machine-generated.

The Integrative Genomics Viewer (IGV) is now available as igv.js, a lightweight JavaScript component for web browsers. This embeddable tool requires no server-side processing, simplifying genomic data visualization on any webpage.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The Integrative Genomics Viewer (IGV) is a widely used tool for visualizing genomic data.
  • Existing implementations may require complex setups or server-side resources.
  • There is a need for a more accessible and easily integrated solution for web-based genomic data visualization.

Purpose of the Study:

  • To develop an embeddable JavaScript implementation of the Integrative Genomics Viewer.
  • To create a lightweight and dependency-free tool for web-based genomic data visualization.
  • To facilitate the integration of IGV functionality into any web page.

Main Methods:

  • Developed igv.js as a JavaScript component.
  • Ensured no external dependencies for the core viewer.
  • Designed for complete execution within the web browser environment.
  • Eliminated the need for backend servers and data pre-processing.

Main Results:

  • igv.js is an embeddable JavaScript implementation of the Integrative Genomics Viewer.
  • The component can be integrated into any web page with a single line of code.
  • The viewer operates entirely within the browser, requiring no server-side infrastructure.
  • igv.js has no external dependencies, simplifying deployment.

Conclusions:

  • igv.js provides a highly accessible and easily integrable solution for web-based genomic data visualization.
  • The tool lowers the barrier for incorporating advanced genomic visualization into web applications.
  • Its browser-native operation and lack of dependencies enhance usability and deployment flexibility.