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Jupyter notebook based genomic data visualization toolkit.

Home Page: https://gangcaolab.github.io/CoolBox/index.html

License: GNU General Public License v3.0

Python 98.33% Dockerfile 0.78% Jupyter Notebook 0.89%

coolbox's Introduction


Binder Install with conda Install with PyPi Docker version Github release Documentation Version Downloads Downloads per week Build Status codecov biorxiv license

Flexible, user-friendly genomic data visualization toolkit.

Highlights:

  • Multi-omics data interactively visualization.
  • User-friendly API (ggplot2-like Python EDSL) and CLI.
  • Show within Jupyter notebook.
  • Ease to fetch data and in cooperation with other Python package.
  • Ease to implement/add custom track and integrate into CoolBox.

More details please read the documentation. Interactively online demo: binder

Develop

See CONTRIBUTING.md

Citation

@article{xu2021coolbox,
  title={CoolBox: A flexible toolkit for visual analysis of genomics data},
  author={Xu, Weize and Zhong, Quan and Lin, Da and Zuo, Ya and Dai, Jinxia and Li, Guoliang and Cao, Gang},
  journal={BMC bioinformatics},
  volume={22},
  number={1},
  pages={1--9},
  year={2021},
  publisher={Springer}
}

Thanks

Contributors

This project exists thanks to all the people who contribute.

coolbox's People

Contributors

eafyounian avatar jksr avatar nanguage avatar nvictus avatar wkopp avatar zhqu1148980644 avatar

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