metID
metID annotates LC-MS metabolomics data by integrating in-house and public spectral databases to enable accurate compound identification in untargeted metabolomics and exposomics.
Key Features:
- Comprehensive Database Integration: Combines spectral information from in-house and public databases to expand reference coverage for compound annotation.
- Automated and Reproducible Annotation: Automates the compound annotation workflow to produce reproducible and efficient analyses.
- Multi-dimensional Spectral Matching: Uses accurate mass (m/z), retention time (RT), and MS2 spectra for matching unknowns to database entries.
Scientific Applications:
- Untargeted Metabolomics: Facilitates identification of unknown metabolites in complex biological samples using LC-MS data and MS2 spectral matching.
- Exposomics: Supports identification of environmental and exposure-related compounds by matching LC-MS features to spectral references.
Methodology:
Integrates spectral data from in-house and public databases and matches unknown compounds to database entries using accurate mass (m/z), retention time (RT), and MS2 spectra.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 10/10/2021
- Last Updated:
- 10/10/2021
Operations
Publications
Shen X, Wu S, Liang L, Chen S, Contrepois K, Zhu Z, Snyder M. <i>metID:</i>A R package for automatable compound annotation for LC−MS-based data. Unknown Journal. 2021. doi:10.1101/2021.05.08.443258.
Links
Repository
https://github.com/jaspershen/metIDIssue tracker
https://github.issuescom/jaspershen/metID/issues