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
Peak detection
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.