ArticleNucleic acids research2019
The Gene Ontology Resource: 20 years and still GOing strong.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,637 papers, 1 of them a synthesis that pooled 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.
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
2,637 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Problems With GO Enrichment as an Endpoint for Ecological Omics Interpretation.Molecular ecology · 2026Article
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- AGTR1 signaling contributes to tumor immunity and therapy response in non-small cell lung cancer.Molecular therapy. Oncology · 2026Article
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- Genome-Wide Characterization and Salt-Responsive Expression Divergence of Chromosome Group 2 and Group 6Plants (Basel, Switzerland) · 2026Article
- DIA proteomics of FFPE renal biopsies reveals two molecular subtypes of lupus nephritis and identifies APOL1 as candidate biomarker for stratification.Lupus science & medicine · 2026Article
- Ferroptosis-Based Peripheral Immune Dysregulation and Diagnostic Signatures in Parkinson's Disease: An RNA Transcriptomic and Single-Cell Immune Sequencing Analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Enhanced Inhibition ofToxins · 2026Article
- Systematic detection of predictive gene sets by semantics-based selection.BMC bioinformatics · 2026Article
- A cigarette compound-induced tumor microenvironment promotes sorafenib resistance in hepatocellular carcinoma via the 14-3-3η-modified tumor-associated proteome.Chinese medical journal · 2026Article
- IBAS: Interaction-bridged association studies discovering novel genes underlying complex traits.PLoS computational biology · 2026Article
- Integrated network pharmacology and serum metabolomics to reveal the protective mechanism of methanolic extract of BaiYangJie on cisplatin-induced acute kidney injury in mice.Experimental and therapeutic medicine · 2026Article
- The Nucleolus in Human Disease: Ribosome Biogenesis, Nucleolar Surveillance, and Therapeutic Opportunities.Biomolecules · 2026Review
- WASP: a pipeline for functional annotation prediction based on AlphaFold structural models.Nature communications · 2026Article
2,577 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products. Founded in 1998, GO has become widely adopted in the life sciences, and its contents are under continual improvement, both in quantity and in quality. Here, we report the major developments of the GO resource during the past two years. Each monthly release of the GO resource is now packaged and given a unique identifier (DOI), enabling GO-based analyses on a specific release to be reproduced in the future. The molecular function ontology has been refactored to better represent the overall activities of gene products, with a focus on transcription regulator activities. Quality assurance efforts have been ramped up to address potentially out-of-date or inaccurate annotations. New evidence codes for high-throughput experiments now enable users to filter out annotations obtained from these sources. GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models. We also provide the 'GO ribbon' widget for visualizing GO annotations to a gene; the widget can be easily embedded in any web page.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.