» Articles » PMID: 17208035

Ontology Annotation: Mapping Genomic Regions to Biological Function

Overview
Publisher Elsevier
Specialty Biochemistry
Date 2007 Jan 9
PMID 17208035
Citations 37
Authors
Affiliations
Soon will be listed here.
Abstract

With numerous whole genomes now in hand, and experimental data about genes and biological pathways on the increase, a systems approach to biological research is becoming essential. Ontologies provide a formal representation of knowledge that is amenable to computational as well as human analysis, an obvious underpinning of systems biology. Mapping function to gene products in the genome consists of two, somewhat intertwined enterprises: ontology building and ontology annotation. Ontology building is the formal representation of a domain of knowledge; ontology annotation is association of specific genomic regions (which we refer to simply as 'genes', including genes and their regulatory elements and products such as proteins and functional RNAs) to parts of the ontology. We consider two complementary representations of gene function: the Gene Ontology (GO) and pathway ontologies. GO represents function from the gene's eye view, in relation to a large and growing context of biological knowledge at all levels. Pathway ontologies represent function from the point of view of biochemical reactions and interactions, which are ordered into networks and causal cascades. The more mature GO provides an example of ontology annotation: how conclusions from the scientific literature and from evolutionary relationships are converted into formal statements about gene function. Annotations are made using a variety of different types of evidence, which can be used to estimate the relative reliability of different annotations.

Citing Articles

PCSK9 inhibitor effectively alleviated cognitive dysfunction in a type 2 diabetes mellitus rat model.

Yang Y, Wang Y, Wang Y, Ke T, Zhao L PeerJ. 2024; 12:e17676.

PMID: 39157774 PMC: 11330219. DOI: 10.7717/peerj.17676.


Genomic and AntiSMASH Analyses of Marine-Sponge-Derived Strain L14 Unveiling Its Vast Potential of Secondary Metabolites Biosynthesis.

Wang P, Xu S, Tang Y, Wang H, Bai X, Zhang H J Fungi (Basel). 2022; 8(6).

PMID: 35736074 PMC: 9224809. DOI: 10.3390/jof8060591.


Annotating regulatory elements by heterogeneous network embedding.

Lu Y, Feng Z, Zhang S, Wang Y Bioinformatics. 2022; 38(10):2899-2911.

PMID: 35561169 PMC: 9326849. DOI: 10.1093/bioinformatics/btac185.


Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles.

Liu C, Hogan A, Sturm H, Khan M, Islam M, Rahman A J Cheminform. 2022; 14(1):12.

PMID: 35279211 PMC: 8917716. DOI: 10.1186/s13321-022-00596-6.


Potential biomarkers in the fibrosis progression of nonalcoholic steatohepatitis (NASH).

Wang Z, Zhao Z, Xia Y, Cai Z, Wang C, Shen Y J Endocrinol Invest. 2022; 45(7):1379-1392.

PMID: 35226336 DOI: 10.1007/s40618-022-01773-y.