Evidence map›Paper›PMID 24271396›Full record

ArticleNucleic acids research2014

The European Bioinformatics Institute's data resources 2014.

Catherine Brooksbank, Mary Todd Bergman, Rolf Apweiler, Ewan Birney, Janet Thornton

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. In-silico Design of DNA Oligonucleotides: Challenges and Approaches.Computational and structural biotechnology journal · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. PGP repository: a plant phenomics and genomics data publication infrastructure.Database : the journal of biological databases and curation · 2016
    Article
  17. Article
  18. Databases for Microbiologists.Journal of bacteriology · 2015
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Catherine BrooksbankEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Mary Todd Bergman
Rolf Apweiler
Ewan Birney
Janet Thornton

Funding

Wellcome Trust
6 · The paper itself

Abstract

Molecular Biology has been at the heart of the 'big data' revolution from its very beginning, and the need for access to biological data is a common thread running from the 1965 publication of Dayhoff's 'Atlas of Protein Sequence and Structure' through the Human Genome Project in the late 1990s and early 2000s to today's population-scale sequencing initiatives. The European Bioinformatics Institute (EMBL-EBI; http://www.ebi.ac.uk) is one of three organizations worldwide that provides free access to comprehensive, integrated molecular data sets. Here, we summarize the principles underpinning the development of these public resources and provide an overview of EMBL-EBI's database collection to complement the reviews of individual databases provided elsewhere in this issue.

Indexed as

Databases, ChemicalDatabases, Nucleic AcidDatabases, ProteinAnimalsEuropeGene Expression ProfilingGene OntologyGenomicsGenotypeHumansInternetMetabolomicsMetagenomicsMicePhenotypeProteomics

Identifiers

PMID24271396
PMCPMC3964968

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.