ArticleBMC bioinformatics2014
Toolboxes for a standardised and systematic study of glycans.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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
27 citing papers in PubMed.
- An Interactive View of Glycosylation.Methods in molecular biology (Clifton, N.J.) · 2022Article
- BioHackathon 2015: Semantics of data for life sciences and reproducible research.F1000Research · 2020Article
- Protein Glycoengineering: An Approach for Improving Protein Properties.Frontiers in chemistry · 2020Review
- glypy: An Open Source Glycoinformatics Library.Journal of proteome research · 2019Article
- A Bioinformatics View of Glycan⁻Virus Interactions.Viruses · 2019Review
- Glycosciences.DB: an annotated data collection linking glycomics and proteomics data (2018 update).Nucleic acids research · 2019Article
- UniLectin3D, a database of carbohydrate binding proteins with curated information on 3D structures and interacting ligands.Nucleic acids research · 2019Article
- SugarSketcher: Quick and Intuitive Online Glycan Drawing.Molecules (Basel, Switzerland) · 2018Article
- Glycomics@ExPASy: Bridging the Gap.Molecular & cellular proteomics : MCP · 2018Article
- Building a PGC-LC-MS N-glycan retention library and elution mapping resource.Glycoconjugate journal · 2018Article
- Annotation of Peptide Structures Using SMILES and Other Chemical Codes-Practical Solutions.Molecules (Basel, Switzerland) · 2017Review
- Algorithms and design strategies towards automated glycoproteomics analysis.Mass spectrometry reviews · 2017Review
- Glycosaminoglycanomics: where we are.Glycoconjugate journal · 2017Review
- Recent Advances in the Analysis of Complex Glycoproteins.Analytical chemistry · 2017Review
- Azahar: a PyMOL plugin for construction, visualization and analysis of glycan molecules.Journal of computer-aided molecular design · 2016Article
- SugarBindDB, a resource of glycan-mediated host-pathogen interactions.Nucleic acids research · 2016Article
- Glycan microarrays of fluorescently-tagged natural glycans.Glycoconjugate journal · 2015Review
- GlycoRDF: an ontology to standardize glycomics data in RDF.Bioinformatics (Oxford, England) · 2015Article
- Targeted methods for quantitative analysis of protein glycosylation.Proteomics. Clinical applications · 2015Review
- EUROCarbDB(CCRC): a EUROCarbDB node for storing glycomics standard data.Bioinformatics (Oxford, England) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundRecent progress in method development for characterising the branched structures of complex carbohydrates has now enabled higher throughput technology. Automation of structure analysis then calls for software development since adding meaning to large data collections in reasonable time requires corresponding bioinformatics methods and tools. Current glycobioinformatics resources do cover information on the structure and function of glycans, their interaction with proteins or their enzymatic synthesis. However, this information is partial, scattered and often difficult to find to for non-glycobiologists.
methodsFollowing our diagnosis of the causes of the slow development of glycobioinformatics, we review the "objective" difficulties encountered in defining adequate formats for representing complex entities and developing efficient analysis software.
resultsVarious solutions already implemented and strategies defined to bridge glycobiology with different fields and integrate the heterogeneous glyco-related information are presented.
conclusionsDespite the initial stage of our integrative efforts, this paper highlights the rapid expansion of glycomics, the validity of existing resources and the bright future of glycobioinformatics.
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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.