ArticlePloS one2011
The impact of focused Gene Ontology curation of specific mammalian systems.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
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Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- Term Matrix: a novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns.Open biology · 2020Article
- Article
- Monitoring changes in the Gene Ontology and their impact on genomic data analysis.GigaScience · 2018Article
- Expanding the horizons of microRNA bioinformatics.RNA (New York, N.Y.) · 2018Article
- Identifying differentially expressed long non-coding RNAs in PBMCs in response to the infection of multidrug-resistant tuberculosis.Infection and drug resistance · 2018Article
- Article
- Using the Gene Ontology to Annotate Key Players in Parkinson's Disease.Neuroinformatics · 2016Article
- Guidelines for the functional annotation of microRNAs using the Gene Ontology.RNA (New York, N.Y.) · 2016Article
- Using Gene Ontology to describe the role of the neurexin-neuroligin-SHANK complex in human, mouse and rat and its relevance to autism.BMC bioinformatics · 2015Article
- Shared resources, shared costs--leveraging biocuration resources.Database : the journal of biological databases and curation · 2015Article
- The GOA database: gene Ontology annotation updates for 2015.Nucleic acids research · 2015Article
- Pitfalls in the application of gene-set analysis to genetics studies.Trends in genetics : TIG · 2014Article
- Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt.GigaScience · 2014Article
- DFLAT: functional annotation for human development.BMC bioinformatics · 2014Article
- Representing kidney development using the gene ontology.PloS one · 2014Article
- A task-based approach for Gene Ontology evaluation.Journal of biomedical semantics · 2013Article
- Proteomics: from single molecules to biological pathways.Cardiovascular research · 2013Review
- A guide to best practices for Gene Ontology (GO) manual annotation.Database : the journal of biological databases and curation · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
unlabelledThe Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome. AVAILABILITY: GO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/
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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.