Evidence map›Paper›PMID 18803830›Full record

ArticleBMC bioinformatics2008

GlycomeDB - integration of open-access carbohydrate structure databases.

René Ranzinger, Stephan Herget, Thomas Wetter, Claus-Wilhelm von der Lieth

Abstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Informatics Ecosystems to Advance the Biology of Glycans.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  2. Review
  3. Review
  4. Three-Dimensional Structures of Carbohydrates and Where to Find Them.International journal of molecular sciences · 2020
    Review
  5. Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. The Glycoscience of Immunity.Trends in immunology · 2018
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. GlycoRDF: an ontology to standardize glycomics data in RDF.Bioinformatics (Oxford, England) · 2015
    Article
  18. Article
  19. Article
  20. Glycoproteomic and glycomic databases.Clinical proteomics · 2014
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

René RanzingerGerman Cancer Research Center DKFZ, Core Facility Molecular Structural Analysis, Im Neuenheimer Feld 280, Heidelberg, Germany. r.ranzinger@dkfz.de
Stephan Herget
Thomas Wetter
Claus-Wilhelm von der Lieth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carbohydrate Structure Database (CCSD or CarbBank) ceased in 1997, and since then several initiatives have developed independent databases with partially overlapping foci. For each database, different encoding schemes for residues and sequence topology were designed. Therefore, it is virtually impossible to obtain an overview of all deposited structures or to compare the contents of the various databases.

resultsWe have implemented procedures which download the structures contained in the seven major databases, e.g. GLYCOSCIENCES.de, the Consortium for Functional Glycomics (CFG), the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Bacterial Carbohydrate Structure Database (BCSDB). We have created a new database called GlycomeDB, containing all structures, their taxonomic annotations and references (IDs) for the original databases. More than 100000 datasets were imported, resulting in more than 33000 unique sequences now encoded in GlycomeDB using the universal format GlycoCT. Inconsistencies were found in all public databases, which were discussed and corrected in multiple feedback rounds with the responsible curators.

conclusionGlycomeDB is a new, publicly available database for carbohydrate sequences with a unified, all-encompassing structure encoding format and NCBI taxonomic referencing. The database is updated weekly and can be downloaded free of charge. The JAVA application GlycoUpdateDB is also available for establishing and updating a local installation of GlycomeDB. With the advent of GlycomeDB, the distributed islands of knowledge in glycomics are now bridged to form a single resource.

Indexed as

Carbohydrate SequenceDatabase Management SystemsDatabases, FactualUser-Computer InterfaceCarbohydrate MetabolismCarbohydratesInformation Storage and RetrievalMolecular Sequence DataSystems IntegrationCarbohydrates

Identifiers

PMID18803830
PMCPMC2567997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.