CvManGO, a method for leveraging computational predictions to improve literature-based Gene Ontology annotations.

ABSTRACT: The set of annotations at the Saccharomyces Genome Database (SGD) that classifies the cellular function of S. cerevisiae gene products using Gene Ontology (GO) terms has become an important resource for facilitating experimental analysis. In addition to capturing and summarizing experimental results, the structured nature of GO annotations allows for functional comparison across organisms as well as propagation of functional predictions between related gene products. Due to their relevance to many areas of research, ensuring the accuracy and quality of these annotations is a priority at SGD. GO annotations are assigned either manually, by biocurators extracting experimental evidence from the scientific literature, or through automated methods that leverage computational algorithms to predi

SUBMITTER: Park J 

PROVIDER: S-EPMC3308158 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature