DrawGlycan-SNFG
DrawGlycan-SNFG renders standardized symbolic representations of glycans and glycopeptides using SNFG (Symbol Nomenclature for Glycans) to support depiction and interpretation in glycoinformatics and mass spectrometry analyses.
Key Features:
- Symbolic Nomenclature Integration: Uses SNFG to enable standardized depiction of glycan structures for accurate scientific communication.
- Versatile Input Handling: Accepts IUPAC-condensed inputs for glycans and glycopeptides.
- Comprehensive Display Options: Provides configurable local and global settings for modifications including bond breakages, adducts, repeat structures, and ambiguous identifications.
- Integration Capabilities: Integrates with glycoinformatics software and is incorporated into gpAnnotate for scoring and annotating MS/MS glycopeptide spectra across fragmentation modes.
Scientific Applications:
- Glycoinformatics: Renders standardized structural representations to support data exchange and interpretation in glycoinformatics workflows.
- Glycomics and Glycoproteomics: Produces detailed visualizations of glycans and glycopeptides to aid analysis in glycomics and glycoproteomics studies.
- Mass spectrometry (MS/MS) analysis: Supports interpretation of fragmentation patterns in MS/MS glycopeptide spectra through integration with annotation software such as gpAnnotate.
Methodology:
Maps IUPAC-condensed glycan and glycopeptide inputs to SNFG symbols and renders structures with configurable local and global settings for bond breakages, adducts, repeat structures, and ambiguous identifications, and integrates with gpAnnotate for scoring and annotating MS/MS glycopeptide spectra across fragmentation modes.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- web application
- Programming Languages:
- Java, MATLAB, Python
- Added:
- 1/14/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Cheng K, Pawlowski G, Yu X, Zhou Y, Neelamegham S. DrawGlycan-SNFG and gpAnnotate: rendering glycans and annotating glycopeptide mass spectra. Bioinformatics. 2019;36(6):1942-1943. doi:10.1093/bioinformatics/btz819. PMID:31710658. PMCID:PMC10251767.