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Related Experiment Video

Updated: Oct 18, 2025

Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs
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Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization.

Sehi L'Yi, Qianwen Wang, Fritz Lekschas

    IEEE Transactions on Visualization and Computer Graphics
    |October 1, 2021
    PubMed
    Summary
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    Gosling is a new grammar for creating interactive and scalable genomics data visualizations. It offers expressiveness and accessibility, enabling scientists to visualize complex genomic data effectively.

    Area of Science:

    • Genomics
    • Bioinformatics
    • Data Visualization

    Background:

    • Genomic data analysis requires diverse visualization tools.
    • Existing tools often lack customization for new datasets and tasks.

    Purpose of the Study:

    • To introduce Gosling, a grammar for interactive and scalable genomics data visualization.
    • To provide a flexible and accessible visualization framework for domain scientists.

    Main Methods:

    • Designed Gosling, a grammar for genomics data visualization.
    • Developed Gosling.js, a JavaScript toolkit for scalable and interactive rendering.
    • Built Gosling.js on an existing web-based visualization platform.

    Main Results:

    • Gosling balances expressiveness for multi-scale data with accessibility for scientists.

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    Last Updated: Oct 18, 2025

    Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs
    07:51

    Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs

    Published on: May 21, 2019

    7.5K
  • Gosling.js simplifies visualization of common genomics data formats.
  • Demonstrated Gosling's expressiveness with real-world examples and novel visualization designs.

    • Conclusions:

    • Gosling provides a powerful and flexible grammar for genomics visualization.
    • Gosling and Gosling.js facilitate the creation of custom and interactive genomic data visualizations.
    • An online editor, examples, and documentation are available at https://gosling.js.org.