BAGO
BAGO is a Bayesian optimization strategy for LC gradient optimization for MS-based small molecule analysis. Check out our YouTube video
BAGO enables
Highly efficient gradient optimization
- Find an optimal gradient for your LC-MS/MS analysis within 10 runs.
- Wonder why BAGO is efficient? Read more about acquisition functions.
Omics-scale evaluation on compound separation
- Separation efficiency was defined to evaluate the performance of a gradient.
- Wonder how omics-scale evaluation is achieved? Read more about encodings.
Broader discovery of chemical space
- Expand your discovery of chemical space by improving identification and quantification.
- Wonder how BAGO can help you? Read more about applications.
BAGO Windows Software
BAGO Windows software is freely available from the GitHub release page. A user manual in .pdf format is included with the software.
The software is designed to be simple, clear, and intuitive. BAGO has a graphical user interface as shown below.
bago Python package
bago is a Python package for supporting the proposed Bayesian Optimization framework of LC gradient optimization.
bago covers the proposed features needed in creating a gradient optimization workflow based on Bayesian optimization. Depending on your use case, bago can be used in different ways:
- Perform LC gradient optimization in programmtic envrionment
- Model LC-MS experiment to evaluate compound separation performance
- Optimize the default pipeline to adpat a special gradient optimization scenario
- Further development of the proposed Bayesian optimization strategy
- Extend the corrent stategy to other LC-based analytical platforms
Accessibility
- Documentation: https://bago.readthedocs.io/en/latest/
- Source code: https://github.com/huaxuyu/bago
- Bug reports: https://github.com/huaxuyu/bago/issues
Please cite
Yu, H., Biswas, P., Rideout, E., Cao, Y., & Huan, T. (2023). Bayesian optimization of separation gradients to maximize the performance of untargeted LC-MS. bioRxiv, 2023-09.
Metadata
Release files for bago 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bago-1.0.0.tar.gz | 16.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bago-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.6 kB
Release files / bago-1.0.0.tar.gz
| Download URL | bago-1.0.0.tar.gz |
|---|---|
| Size | 16.2 kB |
| Tags | Source |
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Release files / bago-1.0.0-py3-none-any.whl
| Download URL | bago-1.0.0-py3-none-any.whl |
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| Size | 15.4 kB |
| Tags | Python 3 |
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