UNAGI Documentation

UNAGI is a dashboard that visualizes dynamic single-cell omics data found in the IPF Research of Yumin Zheng and Dr. Jun Ding of the Meakins-Christie Laboratories at McGill University. UNAGI is built in Python using the Dash framework and relies on several open-source packages.

UNAGI is developed and actively maintained by DingLab at McGill University.

Visit UNAGI View it on GitHub

Installation

For full instructions, please see the Installation

Notes

• https://www.nature.com/articles/s41598-018-28948-z#Sec1
• http://www.cs.cmu.edu/~jund/idrem_lung/
• https://lungmap.net/idrem/index.html
• https://toppgene.cchmc.org/CheckInput.action?query=TOPPFUN&type=HGNC_SYNONYMS&training_set=

Links

• UNAGI Web Server: http://dinglab.rimuhc.ca/unagi/
• Official Source Code Repository: https://github.com/Karlxy0511/IPF_Dashboard

Credits

Yumin Zheng developed, trained, and fine-tuned the UNAGI model.

Paul Hansen, Hassan Gaber, Shuaishuai Jiang, and Yiqing Zhu contributed to the development of the website.

Questions and Help Requests

If you want to ask for help, report problems, or share insights, feel free to send an email to yumin.zheng@mail.mcgill.ca.

License

UNAGI is distributed by an MIT license.