On the Automatic Annotation of Gene Functions Using Observational Data and Phylogenetic Trees


Gene annotation is important for a variety of downstream analyses of genetic data. However, in the ‘Big Data’ era, it is hard to manually update such annotation databases in a timely way. Nor is it clear that such manual approaches are likely to provide the most accurate annotations. For this reason, in this paper we use a probabilistic evolutionary model built upon phylogenetic trees and experimental evidence of gene functional annotations to predict whether or not unannotated genes have a particular function.