A Functional Network of Yeast Genes Using Gene Ontology Information

In the post-genomic era, the organization of genes into networks has played an important role in characterizing the functions of individual genes and the interplay between them. It is also vital in understanding complex cellular processes and their dynamics. Despite advances, gene network prediction still remains a challenge. Recently, heterogeneous genomic and proteomic data were integrated to generate a functional network of yeast genes. The Gene Ontology (GO) project has integrated information from multiple data sources to annotate genes to specific biological process. Generating gene networks using GO annotations is a novel and alternative way to efficiently integrate heterogeneous data sources. In this paper, we present a novel approach to automatically generate a functional network of yeast genes using Gene Ontology (GO) annotations. An information theoretic semantic similarity (SS) was calculated between every pair of genes based on the method proposed by Resnik. This SS scor...

• Type: Conference
• Year: 2008
• Where: BIBM
• Authors: Erliang Zeng, Giri Narasimhan, Lisa Schneper, Kalai Mathee
• Keywords: BIBM 2008, Bioinformatics, Functional Network, Gene Networks, Yeast Genes