PoGO: Prediction of Gene Ontology terms for fungal proteins.

ABSTRACT:

Background

Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously reported function annotation methods are of limited utility for fungal protein annotation. They are often trained only to one species, are not available for high-volume data processing, or require the use of data derived by experiments such as microarray analysis. To meet the increasing need for high throughput, automated annotation of fungal genomes, we have developed a tool for annotating fungal protein sequences with terms from the Gene Ontology.

Results

We describe a classifier called PoGO (Prediction of Gene Ontology terms) that uses statistical pattern recognition methods to assign Gene Ontology

SUBMITTER: Jung J 

PROVIDER: S-EPMC2882390 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature