ArticleJournal of proteome research2019
glypy: An Open Source Glycoinformatics Library.
Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- High-accuracy glycan de novo prediction for N- and O-linked glycopeptides across multiple fragmentation techniques.Nature communications · 2026Article
- Isomeric diversity of GlcNAc(ManScientific reports · 2026Article
- Machine learning: Python tools for studying biomolecules and drug design.Molecular diversity · 2025Review
- O-GlcNAc informatics: advances and trends.Analytical and bioanalytical chemistry · 2025Review
- GlyCompute: towards the automated analysis of protein N-linked glycosylation kinetics via an open-source computational framework.Analytical and bioanalytical chemistry · 2025Article
- Bridging worlds: connecting glycan representations with glycoinformatics via Universal Input and a canonicalized nomenclature.Bioinformatics advances · 2025Article
- Mass Spectrometry-Based Glycomics and Proteomics Profiling of On-Slide Digested Tissue from Complex Biological Samples.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Expanding N-glycopeptide identifications by modeling fragmentation, elution, and glycome connectivity.Nature communications · 2024Article
- Predicting glycan structure from tandem mass spectrometry via deep learning.Nature methods · 2024Article
- Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network.bioRxiv : the preprint server for biology · 2024Article
- Chromatograms and Mass Spectra of High-Mannose and PaucimannoseJournal of proteome research · 2024Article
- Article
- Decoding glycomics with a suite of methods for differential expression analysis.Cell reports methods · 2023Article
- Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics.Nature communications · 2023Article
- Identification of the High MannoseAnalytical chemistry · 2023Article
- Recent advances in mass spectrometry analysis of neuropeptides.Mass spectrometry reviews · 2023Review
- Review
- Article
- Glycoinformatics in the Artificial Intelligence Era.Chemical reviews · 2022Review
- Informatics Ecosystems to Advance the Biology of Glycans.Methods in molecular biology (Clifton, N.J.) · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Glycoinformatics is a critical resource for the study of glycobiology, and glycobiology is a necessary component for understanding the complex interface between intra- and extracellular spaces. Despite this, there is limited software available to scientists studying these topics, requiring each to create fundamental data structures and representations anew for each of their applications. This leads to poor uptake of standardization and loss of focus on the real problems. We present glypy, a library written in Python for reading, writing, manipulating, and transforming glycans at several levels of precision. In addition to understanding several common formats for textual representation of glycans, the library also provides application programming interfaces (APIs) for major community databases, including GlyTouCan and UnicarbKB. The library is freely available under the Apache 2 common license with source code available at https://github.com/mobiusklein/ and documentation at https://glypy.readthedocs.io/ .
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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.