Evidence map›Paper›PMID 27794040›Full record

ArticleNucleic acids research2017

Genomes OnLine Database (GOLD) v.6: data updates and feature enhancements.

Supratim Mukherjee, Dimitri Stamatis, Jon Bertsch, Galina Ovchinnikova, Olena Verezemska, Michelle Isbandi, Alex D Thomas, Rida Ali, Kaushal Sharma, Nikos C Kyrpides and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. StrainInfo-the central database for linked microbial strain identifiers.Database : the journal of biological databases and curation · 2025
    Article
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  6. Genotype-phenotype correlations within theFrontiers in microbiology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Phase separation by ssDNA binding protein controlled via protein-protein and protein-DNA interactions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Article
  16. The Great Oxidation Event expanded the genetic repertoire of arsenic metabolism and cycling.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Pathogenomics and Management ofPathogens (Basel, Switzerland) · 2020
    Review
  18. Review
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

11 authors.

Supratim MukherjeeProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Dimitri StamatisProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Jon BertschProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Galina OvchinnikovaProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Olena VerezemskaProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Michelle IsbandiProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Alex D ThomasProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Rida AliProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Kaushal SharmaProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA.
Nikos C KyrpidesProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA nckyrpides@lbl.gov.
T B K ReddyProkaryotic Super Program, DOE Joint Genome Institute, Walnut Creek, 94598 CA, USA tbreddy@lbl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Genomes Online Database (GOLD) (https://gold.jgi.doe.gov) is a manually curated data management system that catalogs sequencing projects with associated metadata from around the world. In the current version of GOLD (v.6), all projects are organized based on a four level classification system in the form of a Study, Organism (for isolates) or Biosample (for environmental samples), Sequencing Project and Analysis Project. Currently, GOLD provides information for 26 117 Studies, 239 100 Organisms, 15 887 Biosamples, 97 212 Sequencing Projects and 78 579 Analysis Projects. These are integrated with over 312 metadata fields from which 58 are controlled vocabularies with 2067 terms. The web interface facilitates submission of a diverse range of Sequencing Projects (such as isolate genome, single-cell genome, metagenome, metatranscriptome) and complex Analysis Projects (such as genome from metagenome, or combined assembly from multiple Sequencing Projects). GOLD provides a seamless interface with the Integrated Microbial Genomes (IMG) system and supports and promotes the Genomic Standards Consortium (GSC) Minimum Information standards. This paper describes the data updates and additional features added during the last two years.

Indexed as

Databases, Nucleic AcidGenomeComputational BiologyData MiningGenomicsMetagenomeMetagenomicsSoftwareUser-Computer Interface

Identifiers

PMID27794040
PMCPMC5210664

What OpenQuestion holds

Textmetadata
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.