Unified data model
Every package speaks the same tidy grammar, letting you pass glycan-rich data seamlessly through the pipeline.
The Glycoverse Ecosystem
Build glycan knowledge with a cohesive R ecosystem
Use a coordinated family of R packages to move from raw glyco-omics data to glycan-aware insights, faster than ever before.
glycoverse
A unified approach to glyco-omics workflows
- Shared data contracts
- Composable analysis steps
- Open documentation
Structure aware
Glycan topology, motifs, and enzymatic context stay connected to your quantitative measurements.
Pluggable components
Packages can be used together or independently, suitable for any glyco-omics workflow.
Explore the workflow
End-to-end code snippets
Swipe through runnable examples that mirror the glyco-omics journey from raw measurements to pathway reconstruction.
Data Loading and Preprocessing
# Support mainstream software
exp <- read_pglyco3("results.txt")
# Automatic preprocessing
clean_exp <- auto_clean(exp)Differential Expression Analysis
# ANOVA
gly_anova(clean_exp)
# Limma
gly_limma(clean_exp)GO Enrichment
# Unified function API
go_res <- gly_enrich_go(clean_exp)
# Automatic visualization
autoplot(go_res)Motif Quantification and DEA
# Advanced motif analysis
motif_exp <- quantify_motifs(clean_exp, "Lewis X")
# Ready for statistical analysis
gly_kruskal(motif_exp)Derived Traits and DEA
# Site-specific derived traits
trait_exp <- derive_traits(clean_exp)
# Again, a smooth pipeline
gly_kruskal(trait_exp)Re-build Biosynthesis Pathway
# Any glycan structure string
glycan <- "Gal(b1-3)[GlcNAc(b1-6)]GalNAc(a1-"
# Get biosynthesis insights
rebuild_biosynthesis(glycan)Meet the packages
A coordinated toolkit for glycan discovery
Modular building blocks cover the journey from raw glyco-omics measurements to annotated glycan structures.
Omics Data Analysis
Tackle glycomics data from the first import through visual communication with reproducible, shareable code.
glyexp
Organize experimental context
Curate, validate, and version glycomics experiment metadata so downstream tools stay aligned.
glyread
Import diverse formats
Bring in glycan-centric measurements from instruments and repositories with a single, tidy interface.
glyclean
Automatic preprocessing
Automate normalization, missing value handling, and batch correction with intelligent pipelines.
glystats
Model glycomic signatures
Quantify differential abundance, clustering, and network trends with purpose-built statistical tools.
glyvis
Communicate insights
Fast exploratory visualizations that keep glycans at the center of the story.
Glycan Structure Analysis
Connect biological meaning to glycan compositions, motifs, and enzyme pathways with interoperable libraries.
glyrepr
Consistent representations
Build and exchange machine-readable glycan structures that travel across algorithms and workflows.
glyparse
Interpret glycan strings
Parse IUPAC, WURCS, and other encodings into a shared data model for downstream computation.
glymotif
Find recurring motifs
Discover conserved glycan substructures that link phenotypes, biomarkers, and biological pathways.
glydet
Detect glycan patterns
Calculate site-specific glycan derived traits with flexible customization.
glyenzy
Trace enzymatic context
Map glycans to biosynthetic enzymes and pathways to interpret how structure informs function.