Auto-CHO is an open source (MIT Licence) and free-to-use software developed by Academia Sinica for providing solutions of hierarchical one-pot glycan synthesis.
Auto-CHO software | Version: 1.0.110 | Last update: Dec. 17, 2018 | User Guide | Source Code
Download software for Windows from [Google Drive]
Download software for macOS from [Google Drive]
Download software for Ubuntu from [Google Drive]
System Requirements
Operating System:
Microsoft Windows 7 or above (64bit, recommended).
macOS 10.13 or above (64bit).
Ubuntu 18.04 LTS or above (64bit, Beta version).
Java Runtime Environment (JRE): version 8.0 (64bit) or above
Processor: 1GHz or higher.
Hard Drive: 5GB or more free space.
Memory (RAM): 4GB or more.
Minimum screen resolution: 1024x768.
Recommended screen resolution: 1920x1080 or higher.
Update Log
12/17/2018 - Text modification.
10/17/2018 - Refinement; Bug fixed.
10/08/2018 - Refinement; Bug fixed.
10/04/2018 - Bug fixed.
9/29/2018 - Ubuntu supported; Feedback function for virtual BBLs built; Bug fixed; User guide updated.
6/21/2018 - Add more than 2,000 virtual building blocks (GlcN and GlcA) into the library.
6/13/2018 - UI bug fixed for macOS.
6/12/2018 - Bug fixed.
6/06/2018 - Bug fixed; Result text improvement.
5/28/2018 - UI improvement.
5/17/2018 - To enhance the filtering function for virtual BBLs.
5/16/2018 - To add a check function for parameter inputs.
5/15/2018 - Bug fixed.
Data
Download the optimized RRV predictor from [Google Drive].
Download the machine learning feature profiles from [Google Drive].
Java code and Related Data for Calculating the Performance of Feature Selection by N-fold Cross-validation
Download the Java code from [Google Drive].
Reference
Cheng-Wei Cheng, Yixuan Zhou, Wen-Harn Pan, Supriya Dey, Chung-Yi Wu, Wen-Lian Hsu, and Chi-Huey Wong, Hierarchical and Programmable One-pot Synthesis of Oligosaccharides, Nature Communications, 2018.
Technical Support
If you have any technical question about the Auto-CHO software, please contact autocho.sinica[at]gmail.com