it was developed for biomedical ontologies, OBO-Edit can be used to view, search and edit any ontology. It is freely available to download. Consortium The Gene Ontology Consortium is the set of biological databases and research groups actively involved in the gene ontology project. This includes a number of model organism databases and multi-species protein databases, software development groups, and a dedicated editorial office. History The Gene Ontology was originally constructed in 1998 by a consortium of researchers studying the genomes of three model organisms: Drosophila melanogaster (fruit fly), Mus musculus (mouse), and Saccharomyces cerevisiae (brewer's or baker's yeast). Many other Model Organism Databases have joined the Gene Ontology Consortium, contributing not only annotation data, but also contributing to the development of the ontologies and tools to view and apply the data. Many major plant, animal and microorganism databases make a contribution towards this project. As of July 2019, the GO contains 44,945 terms; there are 6,408,283 annotations to 4,467 different biological organisms. There is a significant body of literature on the development and use of the GO, and it has become a standard tool in the bioinformatics arsenal. 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. For instance, an ontological analysis of biological ontologies see. See also Blast2GO Comparative Toxicogenomics Database DAVID bioinformatics Interferome National Center for Biomedical Ontology Critical Assessment of Function Annotation References External links AmiGO - the current official web-based set of tools for searching and browsing the Gene Ontology database Gene Ontology Consortium - official site PlantRegMap - GO annotation for 165 plant species and GO enrichment Analysis Biological databases Ontology (information science)