GlycoViz: A glycoproteomics tool for validating and visualizing glycopeptide identifications

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ID: 329349
2026
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Abstract
SUMMARY: GlycoViz is an open-source algorithm and software tool designed to address critical bottlenecks in the post-identification workflow of mass spectrometry-based glycoproteomics. Current glyco search engines excel at glycopeptide identification but there is a lack of tools for robust post-identification validation, global glycan composition statistics, and reliable site-specific analysis, particularly concerning false positives and quantification distortion due to shallow detection depth. GlycoViz offers an alternative solution with a novel glycopeptide validation algorithm that is compatible with data from multiple search engines. Analysis of N-linked glycans is fully supported whereas O-linked glycan data analysis is limited primarily to visualization and non-optimized validation. AVAILABILITY: The open-source software is available on GitHub at https://github.com/calico/glycoviz. It can be launched as local software through Docker Compose or hosted as a web application in a server. A snapshot of the code is available on Zenodo: https://doi.org/10.5281/zenodo.22680123. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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openalex_W7213930681 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wenzhou Li, Niclas Olsson, Fiona Elizabeth McAllister
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Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag691
URL
https://doi.org/10.1093/bioinformatics/btag691
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