Retrieving Results...
Retrieving Results...
Retrieving Results...

Team Member

GAIL project is a joint work by:

Daniel Couch Zhenning Yu Dr. Jin Hyun Nam Carter Allen Prof. Dongjun Chung The project is funded by NIH/NCI R21-CA209848 and NIH/NIGMS R01-GM122078.

Development

The GAIL website is built using Django Framework, with Javascript and Semantic UI. The Neo4j serves as the backend database. We also use sigma.js and DataTable.js plugins to facilitate network visualization and table results display.

Browser Support

We suggest using following web browsers for best performance of GAIL. Screens with width greater than 1024px are also suggested for best use of GAIL network functions.

Browser Version
Edge 16+
Firefox 52+
Chrome 60+
Safari 11+
Opera 47+

Contact Us

If you encounter any problems when using GAIL, or have any questions, feel free to contact our developers and maintainers.

Daniel Couch, couchd@musc.edu
Dr. Dongjun Chung, chungd@musc.edu

Database Statistics

PubMed abstracts
20,003,700
Genes
41,138
GO terms
45,000
GO-gene correlations
5,052,454
Gene-gene correlations
302,254,780

Database Update

2018-10-15 Database Released
2019-03-18 Database First Updated