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Updated: Jun 20, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
A customizable secure DIY web application for accessing, sharing, and browsing aggregate experimental results and
Jaewoo Lee1, Mehita Achuthan1, Lucas Chen1
1College of Engineering, University of California at Davis, Davis, CA 95616, United States.
Summary:
A problem spanning across many research fields is that processed data and research results are often scattered, which makes data access, analysis, extraction, and team sharing more challenging. We have developed a platform for researchers to easily manage tabular data with features like browsing, bookmarking, and linking to external open knowledge bases. The source code, originally designed for genomics research, is customizable for use by other fields or data, providing a no- to low-cost DIY system for research teams.
Availability And Implementation:
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.

