GlypNirO

GlypNirO integrates outputs from Byonic and Proteome Discoverer to process mass spectrometry data for quantitative analysis of site-specific N- and O-linked protein glycosylation.

Key Features:

• Integration of Byonic and Proteome Discoverer: Integrates outputs from Byonic and Proteome Discoverer for combined analysis of glycoproteomic data.
• Automated workflow: Automates processing of mass spectrometry outputs through to generation of results.
• Structured output: Produces structured results suitable for downstream statistical analysis.
• High-throughput capability: Scales to large datasets to support high-throughput glycoproteomic studies.
• Quantitative N- and O-linked glycosylation analysis: Performs quantitative analysis of site-specific N- and O-linked glycosylation occupancy and glycan structure.
• Mass spectrometry data processing: Processes mass spectrometry data to quantify glycoproteomic changes.
• Implementation: Implemented in Python 3.4 or higher.

Scientific Applications:

• Plasma glycoproteome analysis: Applied to a published plasma glycoproteome dataset to identify alterations in site-specific N- and O-glycosylation occupancy and structure associated with hepatocellular carcinoma, indicating potential biomarkers for disease detection and progression.

Methodology:

Integrates outputs from Byonic and Proteome Discoverer to process mass spectrometry data and quantify site-specific N- and O-linked glycosylation using an automated pipeline.