Abstract

Protein glycosylation is of great importance for its strong association with various diseases. Mass spectrometry-based site-specific glycoproteome methods with efficient interpretation software tools have become powerful strategies for glycosylation research. However, the lack of bioinformatics tools for automatic analysis of the interpretation data hinders further exploration. Here, we developed a comprehensive N-glycoproteomic analysis platform called GlycAP, which is embedded with different analytical modules, including qualitative analysis, quantitative analysis, functional analysis, and clinical analysis. The qualitative analysis module was designed for the qualitative statistical analysis and heterogeneity analysis. The quantitative analysis module supports the discovery of differential glycopeptides between different groups with quantitative results. The functional analysis and clinical analysis modules could help users go a step further and find potential biomarkers from differential glycopeptides. GlycAP, which is freely available online (https://project.omicsolution.com/GlycAP/), is a useful tool for facilitating glycoproteomics in site-specific glycosylation exploration.

Full Text
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