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GIVE: portable genome browsers for personal websites
Xiaoyi Cao1, Zhangming Yan1, Qiuyang Wu1
1Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Genome Biology
|July 19, 2018
Summary
GIVE is an open-source library for creating personalized genome browsers. It enables interactive visualization of genomic data on personal webpages without needing administrator access.
Area of Science:
- Bioinformatics
- Genomics
- Web Development
Background:
- The increasing volume and variety of genomic data necessitate adaptable and portable genome visualization tools.
- Existing genome browsers often require significant technical expertise or system administration privileges, limiting accessibility.
- There is a need for user-friendly solutions to integrate diverse genomic data types into personalized web environments.
Purpose of the Study:
- To introduce GIVE (Genomic Information Visualization Engine), an open-source programming library.
- To enable users to create personalized, interactive genome browsers easily.
- To facilitate the integration of various genomic data types into personal webpages.
Main Methods:
- GIVE is a programming library that allows users to embed interactive genomic data visualizations.
- It supports multiple data types, including genome annotation, linear quantitative data, and genome interaction data.
- The library includes HUG (HTML Universal Generator), a graphical interface for automatic HTML code generation.
Main Results:
- Users can create personalized genome browsers by inserting HTML tags into their webpages.
- The HUG interface simplifies the process by automatically generating displayable HTML code.
- Generated visualizations can be directly embedded, saved, or shared with collaborators.
Conclusions:
- GIVE provides a portable and versatile solution for personalized genome browser creation.
- It empowers users to visualize diverse genomic data interactively without requiring system administrator privileges.
- The tool enhances the accessibility and shareability of genomic data visualizations for researchers and collaborators.
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