Search results
Sep 8, 2024 · The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.
One of the main uses of the GO is to perform enrichment analysis on gene sets. For example, given a set of genes that are up-regulated under certain conditions, an enrichment analysis will find which GO terms are over-represented (or under-represented) using annotations for that gene set.
An ontology is a formal representation of a body of knowledge within a given domain. Ontologies usually consist of a set of classes (or terms or concepts) with relations that operate between them. The Gene Ontology (GO) describes our knowledge of the biological domain with respect to three aspects: Molecular Function.
“Gene Ontology enrichment analysis” is used to discover statistically significant similarities or differences under alternate controlled experimental conditions. You can explore the scientific publications that have used the Gene Ontology knowledgebase.
The Gene Ontology allows users to describe a gene/gene product in detail, considering three main aspects: its molecular function, the biological process in which it participates, and its cellular location.
Introduction to GO annotations. A GO annotation is a statement about the function of a particular gene. GO annotations are created by associating a gene or gene product with a GO term. Together, these statements comprise a “snapshot” of current biological knowledge.
The GO Ribbon provides a visual summary of gene functions and a quick way to browse the GO annotations for a gene or gene set. To further investigate the GO annotations grouped under a high level term, click on the colored cells for your gene of interest.
The Gene Ontology provides a variety of tools to help users browse, search, visualize, download both the GO ontology and GO annotations. In addition, GO develops the Noctua Curation Platform for curators to create GO annotations.
Query GO ontology and annotations with Biolink. The purpose of the Biolink Model is to provide a high level datamodel of biological entities (genes, diseases, phenotypes, pathways, individuals, substances, etc), their properties, relationships, and ways in which they can be associated.
GO annotations are fundamentally based on the scientific literature. Every individual assertion in the Gene Ontology knowledgebase cites the original information justifying that assertion, and the core of these annotations are those determined through direct experimentation.
