Evidence map›Paper›PMID 27899567›Full record

ArticleNucleic acids research2017

Expansion of the Gene Ontology knowledgebase and resources.

The Gene Ontology Consortium

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 1,096 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,096citing papers in PubMed, 3 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

1,096 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
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  13. Contrasting the genetic architecture of cardiac glutathione against other organs: unveiling a unique tissue-specific locus.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  18. Multi-Target Cardioprotection fromAntioxidants (Basel, Switzerland) · 2026
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1,036 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

1 author.

The Gene Ontology Consortium

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
ZFIN: The Zebrafish Model Organism DatabaseU41HG002659 · NHGRI · UNIVERSITY OF OREGON · PI HOWE, DOUGLAS GORDON · 2011 to 2020
$30.7M
An Ontology for Microbial PhenotypesR01GM089636 · NIGMS · TEXAS A&M UNIVERSITY · PI HU, JAMES C · 2010 to 2016
$1.6M
Biocreative Conference GrantR13GM109648 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI ARIGHI, CECILIA NOEMI, COHEN, KEVIN B. · 2014 to 2016
$36k
British Heart Foundation RG/13/5/30112Medical Research Council G1000968NCATS NIH HHS UL1 TR001422NHGRI NIH HHS U41 HG002273NHGRI NIH HHS U41 HG002659NIGMS NIH HHS R01 GM089636NIGMS NIH HHS R13 GM109648Parkinson's UK G-1307Wellcome Trust 104967
6 · The paper itself

Abstract

The Gene Ontology (GO) is a comprehensive resource of computable knowledge regarding the functions of genes and gene products. As such, it is extensively used by the biomedical research community for the analysis of -omics and related data. Our continued focus is on improving the quality and utility of the GO resources, and we welcome and encourage input from researchers in all areas of biology. In this update, we summarize the current contents of the GO knowledgebase, and present several new features and improvements that have been made to the ontology, the annotations and the tools. Among the highlights are 1) developments that facilitate access to, and application of, the GO knowledgebase, and 2) extensions to the resource as well as increasing support for descriptions of causal models of biological systems and network biology. To learn more, visit http://geneontology.org/.

Indexed as

Databases, GeneticGene OntologyComputational BiologyGenomicsMolecular Sequence AnnotationPhylogenyWeb Browser

Identifiers

PMID27899567
PMCPMC5210579

What OpenQuestion holds

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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.