BojarLab/CandyCrunch
Predicting glycan structure from LC-MS/MS data
This tool helps glycobiologists and analytical chemists identify glycan structures from mass spectrometry data. You provide LC-MS/MS files (mzML/mzXML or pre-processed XLSX), specify the glycan class, and receive a CSV or XLSX file listing predicted glycan structures. It's designed for researchers analyzing complex glycan samples.
Available on PyPI.
Use this if you need to predict glycan structures quickly and accurately from LC-MS/MS data in your glycomics research.
Not ideal if you are working with glycan data from other analytical techniques or need to design custom glycan analysis workflows beyond structure prediction.
Stars
34
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 23, 2026
Commits (30d)
0
Dependencies
18
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