ArticleNucleic acids research2012
GONUTS: the Gene Ontology Normal Usage Tracking System.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- Strategies for community-sourced biocuration in bioinformatics: a case study on MIBiG 4.0.Briefings in bioinformatics · 2025Article
- Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO).PLoS computational biology · 2021Article
- A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.BMC bioinformatics · 2020Article
- Phenotype annotation with the ontology of microbial phenotypes (OMP).Journal of biomedical semantics · 2019Article
- LiverWiki: a wiki-based database for human liver.BMC bioinformatics · 2017Article
- Differential Gene Expression Patterns in Chicken Cardiomyocytes during Hydrogen Peroxide-Induced Apoptosis.PloS one · 2016Article
- DIANA-miRPath v3.0: deciphering microRNA function with experimental support.Nucleic acids research · 2015Article
- An ontology for microbial phenotypes.BMC microbiology · 2014Article
- Activities at the Universal Protein Resource (UniProt).Nucleic acids research · 2014Article
- RiceWiki: a wiki-based database for community curation of rice genes.Nucleic acids research · 2014Article
- PortEco: a resource for exploring bacterial biology through high-throughput data and analysis tools.Nucleic acids research · 2014Article
- MorusDB: a resource for mulberry genomics and genome biology.Database : the journal of biological databases and curation · 2014Article
- From zebrafish heart jogging genes to mouse and human orthologs: using Gene Ontology to investigate mammalian heart development.F1000Research · 2013Article
- Community intelligence in knowledge curation: an application to managing scientific nomenclature.PloS one · 2013Article
- Microbial virus genome annotation-mustering the troops to fight the sequence onslaught.Virology · 2012Review
- Making your database available through Wikipedia: the pros and cons.Nucleic acids research · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The Gene Ontology Normal Usage Tracking System (GONUTS) is a community-based browser and usage guide for Gene Ontology (GO) terms and a community system for general GO annotation of proteins. GONUTS uses wiki technology to allow registered users to share and edit notes on the use of each term in GO, and to contribute annotations for specific genes of interest. By providing a site for generation of third-party documentation at the granularity of individual terms, GONUTS complements the official documentation of the Gene Ontology Consortium. To provide examples for community users, GONUTS displays the complete GO annotations from seven model organisms: Saccharomyces cerevisiae, Dictyostelium discoideum, Caenorhabditis elegans, Drosophila melanogaster, Danio rerio, Mus musculus and Arabidopsis thaliana. To support community annotation, GONUTS allows automated creation of gene pages for gene products in UniProt. GONUTS will improve the consistency of annotation efforts across genome projects, and should be useful in training new annotators and consumers in the production of GO annotations and the use of GO terms. GONUTS can be accessed at http://gowiki.tamu.edu. The source code for generating the content of GONUTS is available upon request.
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What OpenQuestion 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 OpenQuestion graph.