ReviewTrends in microbiology2009
What we can learn about Escherichia coli through application of Gene Ontology.
Review in Trends in microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed.
- The EcoCyc database (2025).EcoSal Plus · 2025Review
- The EcoCyc Database (2023).EcoSal Plus · 2023Review
- Article
- The EcoCyc Database.EcoSal Plus · 2018Review
- The EcoCyc Database.EcoSal Plus · 2014Article
- PortEco: a resource for exploring bacterial biology through high-throughput data and analysis tools.Nucleic acids research · 2014Article
- EcoGene 3.0.Nucleic acids research · 2013Article
- An ontological analysis of some biological ontologies.Frontiers in genetics · 2012Article
- EcoliWiki: a wiki-based community resource for Escherichia coli.Nucleic acids research · 2012Article
- The UniProt-GO Annotation database in 2011.Nucleic acids research · 2012Article
- The what, where, how and why of gene ontology--a primer for bioinformaticians.Briefings in bioinformatics · 2011Article
- Article
- EcoCyc: a comprehensive database of Escherichia coli biology.Nucleic acids research · 2011Article
- Unifying themes in microbial associations with animal and plant hosts described using the gene ontology.Microbiology and molecular biology reviews : MMBR · 2010Review
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
How we classify the genes, products and complexes that are present or absent in genomes, transcriptomes, proteomes and other datasets helps us place biological objects into subsystems with common functions, see how molecular functions are used to implement biological processes and compare the biology of different species and strains. Gene Ontology (GO) is one of the most successful systems for classifying biological function. Although GO is widely used for eukaryotic genomics, it has not yet been widely used for bacterial systems. The potential applications of GO are currently limited by the need to improve the annotation of bacterial genomes with GO and to improve how prokaryotic biology is represented in the ontology. Here, we discuss why GO should be adopted by microbiologists, and describe recent efforts to build and maintain high-quality GO annotation for Escherichia coli as a model system.
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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.