TY  - JOUR
A1  - Xie, Hanqing
A1  - Wasserman, Alon
A1  - Levine, Zurit
A1  - Novik, Amit
A1  - Grebinskiy, Vladimir
A1  - Shoshan, Avi
A1  - Mintz, Liat
T1  - Large-Scale Protein Annotation through Gene Ontology
Y1  - 2002/05/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 785 
EP  - 794 
DO  - 10.1101/gr.86902 
VL  - 12 
IS  - 5 
UR  - http://genome.cshlp.org/content/12/5/785.abstract 
N2  - Recent progress in genomic sequencing, computational biology, and ontology development has presented an opportunity to investigate biological systems from a unique perspective, that is, examining genomes and transcriptomes through the multiple and hierarchical structure of Gene Ontology (GO). We report here our development of GO Engine, a computational platform for GO annotation, and analysis of the resultant GO annotations of human proteins. Protein annotation was centered on sequence homology with GO-annotated proteins and protein domain analysis. Text information analysis and a multiparameter cellular localization predictive tool were also used to increase the annotation accuracy, and to predict novel annotations. The majority of proteins corresponding to full-length mRNA in GenBank, and the majority of proteins in the NR database (nonredundant database of proteins) were annotated with one or more GO nodes in each of the three GO categories. The annotations of GenBank and SWISS-PROT proteins are available to the public at the GO Consortium web site. 
ER  -