GlycoGenius

GlycoGenius streamlines high-throughput glycan composition identification through an automated workflow for glycomics data analysis.

Key Features:

• Automated search space construction: Algorithms automatically construct search spaces for glycan identification.
• Glycan identification and scoring: Identifies and scores N-glycans, O-glycans, glycosaminoglycans and additional glycan classes.
• Quantification: Performs automated quantification of identified glycans.
• Result filtering: Filters identification results based on specified criteria.
• Fragment spectrum annotation: Annotates fragment spectra from mass spectrometry data.
• Data visualization: Generates visualizations of glycomics data and results.

Scientific Applications:

• N-glycan analysis: Identification and characterization of N-linked glycans from mass spectrometry data.
• O-glycan analysis: Identification and characterization of O-linked glycans from mass spectrometry data.
• Glycosaminoglycan analysis: Analysis of glycosaminoglycans and related glycoconjugates.
• Novel glycan discovery: Identification of previously uncharacterized glycan structures.
• High-throughput glycomics: Large-scale glycan composition identification with reduced processing time compared to manual analysis.

Methodology:

GlycoGenius employs algorithms tailored to reduce manual workload that automatically construct search spaces, identify, score, and quantify glycans, filter results, and annotate fragment spectra. The tool processes raw mass spectrometry data and achieves results comparable to manual analysis or competing tools.