2016
DOI: 10.1093/nar/gkw1108
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Expansion of the Gene Ontology knowledgebase and resources

Abstract: 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 impr… Show more

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Cited by 1,651 publications
(913 citation statements)
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References 22 publications
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“…Less obvious is their connection with the second largest cluster (9 nodes), which accounts for proteins involved in oxygen sensing and DNA damage response. Functional enrichment in GO32 terms shows “regulation of transcription from RNA polymerase II promoter in response to hypoxia” (GO:0061418) as the biological process best describing the entire network (count in gene set 10, false discovery rate 4.66 e −18 ). Interactions between pVHL and RNA polymerase II subunits are already known3334.…”
Section: Resultsmentioning
confidence: 99%
“…Less obvious is their connection with the second largest cluster (9 nodes), which accounts for proteins involved in oxygen sensing and DNA damage response. Functional enrichment in GO32 terms shows “regulation of transcription from RNA polymerase II promoter in response to hypoxia” (GO:0061418) as the biological process best describing the entire network (count in gene set 10, false discovery rate 4.66 e −18 ). Interactions between pVHL and RNA polymerase II subunits are already known3334.…”
Section: Resultsmentioning
confidence: 99%
“…Protein abundance was determined according to the intensity-based absolute quantification (iBAQ) metric [23]. Gene ontology was investigated with FunRich v3.1.3 using the Gene Ontology Database [24,25]. The peptides identified by mass spectrometry were visualised using Protter [26] with membrane orientations as specified in UniProt annotations [27].…”
Section: Methodsmentioning
confidence: 99%
“…MGI's Gene Ontology project provides functional annotations for mouse gene products using the gene ontology (Ashburner et al, 2000;Gene Ontology Consortium, 2017). …”
Section: Mouse Genome Informatics (Mgi)mentioning
confidence: 99%