ArticleGlycobiology2023
GlycoDraw: a python implementation for generating high-quality glycan figures.
Article in Glycobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- 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
- Machine learning: Python tools for studying biomolecules and drug design.Molecular diversity · 2025Review
- GlyCompute: towards the automated analysis of protein N-linked glycosylation kinetics via an open-source computational framework.Analytical and bioanalytical chemistry · 2025Article
- Navigating the maze of mass spectra: a machine-learning guide to identifying diagnostic ions in O-glycan analysis.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
- Deep learning method for the prediction of glycan structures from mass spectrometry data.Nature methods · 2024Article
- Predicting glycan structure from tandem mass spectrometry via deep learning.Nature methods · 2024Article
- Syntactic sugars: crafting a regular expression framework for glycan structures.Bioinformatics advances · 2024Article
- Introduction of a human- and keyboard-friendly N-glycan nomenclature.Beilstein journal of organic chemistry · 2024Article
- Elucidating the glycan-binding specificity and structure ofBeilstein journal of organic chemistry · 2024Article
- Decoding glycomics with a suite of methods for differential expression analysis.Cell reports methods · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Glycans are essential to all scales of biology, with their intricate structures being crucial for their biological functions. The structural complexity of glycans is communicated through simplified and unified visual representations according to the Symbol Nomenclature for Glycans (SNFGs) guidelines adopted by the community. Here, we introduce GlycoDraw, a Python-native implementation for high-throughput generation of high-quality, SNFG-compliant glycan figures with flexible display options. GlycoDraw is released as part of our glycan analysis ecosystem, glycowork, facilitating integration into existing workflows by enabling fully automated annotation of glycan-related figures and thus assisting the analysis of e.g. differential abundance data or glycomics mass spectra.
Indexed as
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What OpenQuestion holds
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.