Gene Ontology

A major bioinformatics initiative to unify the representation of gene and gene product attributes across all species

Gene Ontology logo

The Gene Ontology (GO) is a major bioinformatics initiative aimed at standardizing the representation of gene and gene product attributes across species and databases. The GO project provides a controlled vocabulary of terms for describing gene product characteristics and gene product annotation data from various databases.

Overview

The Gene Ontology project was initiated to address the need for consistent descriptions of gene products in different databases. It provides a framework for the model of biology that is both species-neutral and applicable to all organisms. The GO project is a collaborative effort involving biologists, bioinformaticians, and computer scientists.

Structure

The Gene Ontology is structured into three main ontologies:

• Molecular function: Describes activities, such as catalytic or binding activities, that occur at the molecular level. For example, "catalytic activity" or "transporter activity."
• Biological process: Refers to a series of events accomplished by one or more ordered assemblies of molecular functions. Examples include "cellular process" or "signal transduction."
• Cellular component: Describes locations, at the levels of subcellular structures and macromolecular complexes. Examples include "nucleus," "ribosome," or "proteasome complex."

Applications

The Gene Ontology is used in a variety of applications, including:

• Functional genomics: To annotate genes and gene products with GO terms, providing insights into their roles in biological processes.
• Comparative genomics: To compare gene functions across different species.
• Systems biology: To model biological systems and understand the interactions between different components.

Annotation

Annotations in the Gene Ontology are statements about the function, process, or component of a gene product. These annotations are made by curators who review scientific literature and experimental data. Annotations are associated with evidence codes that indicate the type of evidence supporting the annotation, such as experimental data or computational analysis.

Development and Maintenance

The Gene Ontology is continuously updated and maintained by the Gene Ontology Consortium, which includes members from various research institutions and organizations. The consortium ensures that the ontology remains relevant and accurate as new biological discoveries are made.

Related pages

• Bioinformatics
• Ontology (information science)
• Systems biology
• Functional genomics