ArticleGlycobiology2021
Glycowork: A Python package for glycan data science and machine learning.
Article in Glycobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Article
- GlycoViz: a glycoproteomics tool for validating and visualizing glycopeptide identifications.Bioinformatics (Oxford, England) · 2026Article
- Glycosylation of Extracellular Vesicles: Analytical and Translational Insights into Biomarker Discovery and Regenerative Medicine.International journal of molecular sciences · 2026Review
- GlycanGT: a pretrained graph transformer framework for glycan graph representation and generative learning.Bioinformatics (Oxford, England) · 2026Article
- Understanding glycan structure and function through artificial intelligence.BBA advances · 2026Review
- GlycoTraitR: an R package for characterizing structural heterogeneity in N-linked glycoproteomics data.Bioinformatics advances · 2026Article
- GlyContact analyzes glycan 3D structures at scale.Nature communications · 2025Article
- Seal milk oligosaccharides rival human milk complexity and exhibit functional dynamics during lactation.Nature communications · 2025Article
- Evaluation of De Novo Deep Learning Models on the Protein-Sugar Interactome.bioRxiv : the preprint server for biology · 2025Article
- Serum N-glycosylation is altered in Nephropathic Cystinosis.Glycobiology · 2025Article
- Biochemical Applications of Microbial Rare Glycan Biosynthesis, Recognition, and Sequencing.Biochemistry · 2025Review
- Navigating the maze of mass spectra: a machine-learning guide to identifying diagnostic ions in O-glycan analysis.Analytical and bioanalytical chemistry · 2025Article
- GlyCompute: towards the automated analysis of protein N-linked glycosylation kinetics via an open-source computational framework.Analytical and bioanalytical chemistry · 2025Article
- Compositional data analysis enables statistical rigor in comparative glycomics.Nature communications · 2025Article
- Bridging worlds: connecting glycan representations with glycoinformatics via Universal Input and a canonicalized nomenclature.Bioinformatics advances · 2025Article
- Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification.Computational and structural biotechnology journal · 2024Article
- Restoring protein glycosylation with GlycoShape.Nature methods · 2024Article
- O-glycosylation contributes to mammalian glycoRNA biogenesis.bioRxiv : the preprint server for biology · 2024Article
- Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy.Database : the journal of biological databases and curation · 2024Article
- Predicting glycan structure from tandem mass spectrometry via deep learning.Nature methods · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While glycans are crucial for biological processes, existing analysis modalities make it difficult for researchers with limited computational background to include these diverse carbohydrates into workflows. Here, we present glycowork, an open-source Python package designed for glycan-related data science and machine learning by end users. Glycowork includes functions to, for instance, automatically annotate glycan motifs and analyze their distributions via heatmaps and statistical enrichment. We also provide visualization methods, routines to interact with stored databases, trained machine learning models and learned glycan representations. We envision that glycowork can extract further insights from glycan datasets and demonstrate this with workflows that analyze glycan motifs in various biological contexts. Glycowork can be freely accessed at https://github.com/BojarLab/glycowork/.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.