https://github.com/animesh/gosling.js

Grammar of Scalable Linked Interactive Nucleotide Graphics

https://github.com/animesh/gosling.js

Repository

Grammar of Scalable Linked Interactive Nucleotide Graphics

https://github.com/animesh/gosling.js/blob/master/

# Gosling.js

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**Gosling.js is a declarative grammar for interactive (epi)genomics visualization on the Web.**



>  Please be aware that the grammar of Gosling.js may change to some extent before the first official release.

## Why Gosling?

The Gosling's key features compared to existing visualization libraries and grammars are as follows:

-   **Encoding/Data Scalability**: Gosling scales from whole genomes to single nucleotides via semantic zooming that updates visual encodings dynamically and by using the rendering and data access capabilities of [our HiGlass genomics visualization framework](http://higlass.io/).

-   **Expressiveness**: Gosling is designed to be expressive enough to generate pretty much any visualization of genome-mapped data, which we accomplished by basing the grammar on [our taxonomy of (epi)genomics data visualizations](https://onlinelibrary.wiley.com/doi/full/10.1111/cgf.13727).

-   **Interactivity**: Gosling has intuitive and effective user interactions built in, including zooming and panning and [brushing and linking](https://infovis-wiki.net/wiki/Linking_and_Brushing). This enables flexible visualizations that cover a wide range of visual analysis scenarios, like overview + detail views with brushes or comparative views.

## Learn More About Gosling

-   [Documentation](http://gosling-lang.org/)
-   [Gosling.js Editor](https://gosling.js.org/)
-   [Roadmap](https://github.com/gosling-lang/gosling.js/projects/1)

## Contributing to Gosling.js

We welcome and greatly appreciate your contribution to this project! Please read [CONTRIBUTING.md](/CONTRIBUTING.md) to find guidelines.

## Contact

-   Open [Github Issues](https://github.com/gosling-lang/gosling.js/issues/) to ask questions or request features.

## Team

-   Sehi L'Yi ([@sehi_lyi](https://twitter.com/sehi_lyi) | )
-   Qianwen Wang ([@WangQianwenToo](https://twitter.com/WangQianwenToo) | )
-   Fritz Lekschas ([@flekschas](https://twitter.com/flekschas) | [lekschas.de](https://lekschas.de))
-   Trevor Manz ([@trevmanz](https://twitter.com/trevmanz) | )
-   Nils Gehlenborg ([@ngehlenborg](https://twitter.com/ngehlenborg) | )

## Citation

[L'Yi et al., 2021. Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization.](https://osf.io/6evmb)

```bib
@article{lyi2021gosling,
  title={Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization},
  author={Sehi L'Yi and Qianwen Wang and Fritz Lekschas and Nils Gehlenborg},
  year={2021},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  publisher={IEEE},
  doi={10.1109/TVCG.2021.3114876},
}
```

## License

This project is licensed under the terms of the [MIT license](https://github.com/gosling-lang/gosling.js/blob/master/LICENSE.md).

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