autoGCMSDataAnal

autoGCMSDataAnal automates analysis of gas chromatography–mass spectrometry (GC-MS) data to detect and resolve TIC peaks, correct time shifts, register components, and support statistical analysis and compound identification for untargeted metabolomics.


Key Features:

  • Automatic TIC peak detection and component resolution: Automatically detects total ion chromatogram (TIC) peaks and resolves components within complex GC-MS datasets.
  • Time-shift correction and component registration: Applies a time-shift correction algorithm and registers chromatographic components across runs to align peaks.
  • Statistical analysis and compound identification from original GC-MS data files: Performs statistical analysis and compound identification directly from original GC-MS data files.
  • Validation on standards and plant samples: Validated using standard compounds and complex plant samples and reported to be comparable with state-of-the-art methods.

Scientific Applications:

  • Untargeted metabolomics: Analysis and comparison of metabolic profiles from GC-MS data, including plant metabolome studies and comparisons with standard compounds.

Methodology:

Accepts original GC-MS data files and performs TIC peak detection, component resolution, time-shift correction, component registration, statistical analysis, and compound identification.

Topics

Details

Programming Languages:
MATLAB
Added:
1/14/2020
Last Updated:
12/2/2020

Operations

Data Inputs & Outputs

Publications

Zhang Y, Zhang Q, Zhang Y, Wang W, Zhang L, Yu Y, Bai C, Guo J, Fu H, She Y. A comprehensive automatic data analysis strategy for gas chromatography-mass spectrometry based untargeted metabolomics. Journal of Chromatography A. 2020;1616:460787. doi:10.1016/j.chroma.2019.460787. PMID:31864723.

PMID: 31864723
Funding: - Ningxia Medical University: XT2016003 - National Natural Science Foundation of China: 21305160, 21606137, 21776259, 21868028, NGY2016124