Contextualizing untargeted Annotation with Semi-quantitative Charged Aerosol Detection for pertinent characterization of natural Extracts.
It has just been opened for the sake of transparency.
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Run
bash bash/create_batch_file.sh <PATH_TO_YOUR_FILE> <polarity>
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Run
mzmine -b <PATH_TO_BATCH_CREATED_IN_1>
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Run
Rscript inst/scripts/install.R
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Run
Rscript inst/scripts/1_process_compare_peaks.R
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Run annotation (in tima-r)
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Run
Rscript inst/scripts/2_process_plot_pseudochromatgrams.R
https://doi.org/10.1021/acs.jafc.3c03099
According to which steps you used, please give credit to the authors of the tools/resources used.
General: https://doi.org/10.1038/s41587-023-01690-2
General: https://doi.org/10.1038/s41592-019-0344-8
- CSI:FingerId: https://doi.org/10.1073/pnas.1509788112
- ZODIAC: https://doi.org/10.1038/s42256-020-00234-6
- CANOPUS: https://doi.org/10.1038/s41587-020-0740-8
- COSMIC: https://doi.org/10.1038/s41587-021-01045-9
General: https://doi.org/10.7554/eLife.70780
General: https://doi.org/10.1021/acs.analchem.5b04804
General: https://doi.org/10.3389/fpls.2019.01329