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