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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.
GO enrichment analysis | Gene Ontology Resource. 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.
Their objectives have three aspects: building gene ontology, assigning ontology to gene/gene products, and developing software and databases for the first two objects. Several analyses of the Gene Ontology using formal, domain-independent properties of classes (the metaproperties) are also starting to appear.
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Jan 1, 2019 · The Gene Ontology resource (GO; http://geneontology.org) is the most comprehensive and widely used knowledgebase concerning the functions of genes. In GO, all functional knowledge is structured and represented in a form amenable to computational analysis, which is essential to support modern biological research.
Jul 18, 2018 · Gene ontology enrichment analysis (GOEA) is used to test the overrepresentation of gene ontology terms in a list of genes or gene products in order to understand their biological significance.
208 Altmetric. About this book. This book is open access under a CC BY 4.0 license. This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources.
Dec 20, 2019 · Gene Ontology (GO) is a universal resource for analyses and interpretation of high-throughput biological datasets. GO is developed and curated by several different groups, based at scientific institutions around the world, working together under the auspices of the GO Consortium.
May 24, 2019 · Exploratory Gene Ontology Analysis with Interactive Visualization. Junjie Zhu, Qian Zhao, Eugene Katsevich & Chiara Sabatti. Scientific Reports 9, Article number: 7793 ( 2019 ) Cite this...
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Abstract. The Gene Ontology (GO) provides a framework and set of concepts for describing the functions of gene products from all organisms. It is specifically designed for supporting the computational representation of biological systems.
