This automated gene description is a product of the Alliance of Genome Resources (Alliance; Alliance of Genome Resources), and is displayed on the Alliance web site and at ZFIN.
The Alliance developed an algorithm that uses the different types of curated gene data provided by member databases to generate a short human readable text summary. This algorithm uses structured data such as gene associations to Gene Ontology (GO) terms, Disease Ontology (DO) terms, wild-type expression annotations and the Alliance stringent orthology set to generate gene descriptions. The stringent orthology set has the primary criterion of an ortholog called by three or more methods is included if it is a best count or a best reverse count. The second criterion is that an ortholog predicted by ZFIN or HGNC is always included, regardless of count and an ortholog called by two methods is included if it is both a best count and a best reverse count. The Alliance orthology data is available at Alliance of Genome Resources. The algorithm was formulated to maximize information content and is designed to balance readability of a gene description with the amount of information provided.
For more information on the generation of the description please see Kishore et. al. 2020
For more information on the Gene Ontology, please visit: Gene Ontology Resource
For more information on the Disease Ontology, please visit: Disease ONtology - Institute of Genome Sciences @ University of Maryland/