A customizable secure DIY web application for accessing, sharing, and browsing aggregate experimental results and metadata.

Jaewoo LeeMehita AchuthanLucas ChenPaulina Carmona-Mora

Published in: Bioinformatics advances (2024)

The source code of our DIY app is available on https://github.com/Carmona-MoraUCD/Human-Genomics-Browser. It can be downloaded and run by anyone with a web browser, Python3, and Node.js on their machine. The web application is licensed under the MIT license.

Keyphrases

endothelial cells
lymph node
deep learning
social media
health information