Editorial additions pending. This submission has been accepted into the catalogue. Detailed metadata and editorial review may follow in later updates. Missing information does not mean a capability is unsupported.
Overview
BAGO is an open-source bioinformatics tool designed for the systematic optimization of LC gradient using the Bayesian optimization framework. It is particularly useful for optimizing LC gradients in LC-MS-based metabolomics, lipidomics, and exposomics.
Also known as: Bayesian Optimization for LC Gradient Optimization
Scientific fit
Primary function
Data acquisition and instrument control
Access and documentation
Evidence and review
Core publications
Resource papers, direct updates and tool-specific methods. Selection policy.
- Primary publication doi:10.1021/acs.analchem.6c01208
Related tools
Entry history
Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.
Original submission and discussion
- 2026-09-23 · First committed entry
Add draft tool entry for BAGO
View change · Entry at this revision