ArticleGenome research2001
Creating the gene ontology resource: design and implementation.
Article in Genome research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 408 papers, 2 of them syntheses that pooled it.
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Who cites it
408 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Automated meta-analysis of the event-related potential (ERP) literature.Scientific reports · 2022Pooled it
- Expression changes in pelvic organ prolapse: a systematic review and in silico study.Scientific reports · 2017Pooled it
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- Central Dogma Cycle and Network: A Model for Cell Memory.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- The Saccharomyces Genome Database-a history of ideas and accomplishments, 1994-2026.FEMS yeast research · 2026Article
- Quantifying pathway perturbations based on gene network rewiring in sepsis progression toward death or survival.Frontiers in bioinformatics · 2026Article
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- Genome-wide identification, characterization and expression profiles of FORMIN gene family in cotton (Gossypium Raimondii L.).BMC genomic data · 2024Article
- Whole-transcriptome analyses of ovine lung microvascular endothelial cells infected with bluetongue virus.Veterinary research · 2024Article
- Quantitative proteomics unveils known and previously unrecognized alterations in neuropathic nerves.Journal of neurochemistry · 2024Article
- Transcriptomic characterization of lung pericytes in systemic sclerosis-associated pulmonary fibrosis.iScience · 2024Article
- Improved selection of canonical proteins for reference proteomes.NAR genomics and bioinformatics · 2024Article
- Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learning.BMC cardiovascular disorders · 2024Article
348 more citing papers are in PubMed but not listed here.
Corrections and comments
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1 author.
Funding
Abstract
The exponential growth in the volume of accessible biological information has generated a confusion of voices surrounding the annotation of molecular information about genes and their products. The Gene Ontology (GO) project seeks to provide a set of structured vocabularies for specific biological domains that can be used to describe gene products in any organism. This work includes building three extensive ontologies to describe molecular function, biological process, and cellular component, and providing a community database resource that supports the use of these ontologies. The GO Consortium was initiated by scientists associated with three model organism databases: SGD, the Saccharomyces Genome database; FlyBase, the Drosophila genome database; and MGD/GXD, the Mouse Genome Informatics databases. Additional model organism database groups are joining the project. Each of these model organism information systems is annotating genes and gene products using GO vocabulary terms and incorporating these annotations into their respective model organism databases. Each database contributes its annotation files to a shared GO data resource accessible to the public at http://www.geneontology.org/. The GO site can be used by the community both to recover the GO vocabularies and to access the annotated gene product data sets from the model organism databases. The GO Consortium supports the development of the GO database resource and provides tools enabling curators and researchers to query and manipulate the vocabularies. We believe that the shared development of this molecular annotation resource will contribute to the unification of biological information.
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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.