Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization

The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics Vol. 28; no. 1; pp. 140 - 150
Main Authors: LYi, Sehi, Wang, Qianwen, Lekschas, Fritz, Gehlenborg, Nils
Format: Journal Article
Language:English
Published: United States IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Animals
Bioinformatics
Biological cells
Computer Graphics
Data Visualization
declarative specification
Geese
Genomics
Grammar
Microbalances
Scientific visualization
Software
Source code
Toolkits
Visualization
visualization grammar
ISSN:1077-2626, 1941-0506, 1941-0506
Online Access:Get full text
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Summary:The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize visualizations for new analysis tasks or datasets. To address this challenge, we designed Gosling-a grammar for interactive and scalable genomics data visualization. Gosling balances expressiveness for comprehensive multi-scale genomics data visualizations with accessibility for domain scientists. Our accompanying JavaScript toolkit called Gosling.js provides scalable and interactive rendering. Gosling.js is built on top of an existing platform for web-based genomics data visualization to further simplify the visualization of common genomics data formats. We demonstrate the expressiveness of the grammar through a variety of real-world examples. Furthermore, we show how Gosling supports the design of novel genomics visualizations. An online editor and examples of Gosling.js, its source code, and documentation are available at https://gosling.js.org .
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2021.3114876