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The Gene Ontology knowledgebase in 2023

📅 Published: March 3, 2023 👤 Suzi Aleksander, James P. Balhoff, Seth Carbon et al. 📖 Genetics 📊 2,678 citations
AI-Generated Summary

The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms.
  • 2 Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase.
  • 3 The GO knowledgebase consists of three components: (1) the GO-a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations-evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)-mechanistic models of molecular "pathways" (GO biological processes) created by linking multiple GO annotations using defined relations.
Why It Matters

Mathematical breakthroughs form the theoretical backbone of science, cryptography, data analysis, and engineering.

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Article Details
Source OpenAlex
Category ∑ Mathematics
Published Mar 3, 2023
Journal Genetics
DOI 10.1093/genetics/iyad031
Citations 2,678
Authors Suzi Aleksander, James P. Balhoff, Seth Carbon, J. Michael Cherry, Harold Drabkin