Expansion of the gene ontology knowledgebase and resources: The gene ontology consortium

S. Carbon, H. Dietze, S. E. Lewis, C. J. Mungall, M. C. Munoz-Torres, S. Basu, R. L. Chisholm, R. J. Dodson, P. Fey, Paul D. Thomas*, H. Mi, A. Muruganujan, X. Huang, S. Poudel, J. C. Hu, S. A. Aleksander, B. K. McIntosh, D. P. Renfro, D. A. Siegele, G. AntonazzoH. Attrill, N. H. Brown, S. J. Marygold, P. Mc-Quilton, L. Ponting, G. H. Millburn, A. J. Rey, R. Stefancsik, S. Tweedie, K. Falls, A. J. Schroeder, M. Courtot, D. Osumi-Sutherland, H. Parkinson, P. Roncaglia, R. C. Lovering, R. E. Foulger, R. P. Huntley, P. Denny, N. H. Campbell, B. Kramarz, S. Patel, J. L. Buxton, Z. Umrao, A. T. Deng, H. Alrohaif, K. Mitchell, F. Ratnaraj, W. Omer, M. Rodríguez-López, The Gene Ontology Consortium

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1021 Scopus citations


The Gene Ontology (GO) is a comprehensive resource of computable knowledge regarding the functions of genes and gene products. As such, it is extensively used by the biomedical research community for the analysis of-omics and related data. Our continued focus is on improving the quality and utility of the GO resources, and we welcome and encourage input from researchers in all areas of biology. In this update, we summarize the current contents of the GO knowledgebase, and present several new features and improvements that have been made to the ontology, the annotations and the tools. Among the highlights are 1) developments that facilitate access to, and application of, the GO knowledgebase, and 2) extensions to the resource as well as increasing support for descriptions of causal models of biological systems and network biology. To learn more, visit http://geneontology.org/.

Original languageEnglish (US)
Pages (from-to)D331-D338
JournalNucleic acids research
Issue numberD1
StatePublished - Jan 1 2017

ASJC Scopus subject areas

  • Genetics


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