Chimeric spectra are ubiquitous in MS/MS data, which compromises the quality and reliability of MS/MS matching-based metabolite annotation. Reverse spectral search is a simple yet overlooked solution to chimeric spectra.
Here, we enhanced the reverse search by introducing a penalty factor to unmatched peaks, which increases the number of spectral matches while maintaining rigorous quality control.
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- Cosine similarity:
cosine.py
- Entropy similarity:
entropy.py
- Bhattacharyya angle:
bhattacharya1.py
- Chimeric spectra analysis of public datasets:
analyze_chimeric_spec.py
- Annotation codes:
annotation
folder
If you use the code from this repository, please cite:
Shipei Xing. Reverse spectral search. GitHub repository, 2024. URL: https://github.com/Philipbear/reverse_search
This project is licensed under the Apache 2.0 License (Copyright 2024 Shipei Xing).